London, United Kingdom August 19 ‑ 23, ?· London, United Kingdom August 19 ‑ 23, 2018 24th ACM…

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  • London,UnitedKingdom

    August1923,201824thACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining

    PRELIMINARYPROGRAM

    PLEASENOTETHISPROGRAMISSUBJECTTOCHANGE

  • Contents

    KDD2018AgendaataGlance

    KDD2018ChairsWelcomeMessage

    ProgramHighlights

    KDD2018TutorialProgram

    KDD2018HealthDayProgram

    KDD2018WorkshopProgram

    KDD2018DeepLearningDayProgram

    KDD2018HandsOnTutorialProgram

    KDDCup2018Program

    KDD2018ProjectShowcaseProgram

    KDD2018ConferenceProgram

    KDD2018ConferenceOrganization

    KDD2018Sponsors&Supporters

    UsefulLinksandEmergencyContacts

  • KDD2018AgendaataGlance

    KDD2018:Sunday,August19(TUTORIALDAY)

    7:00AM5:00PM KDD2018Registration Boulevard(Level0)

    8:00AM12:00PM T1:GraphandTensorMiningforFunandProfit ICCCapitalSuiteRoom7(Level3)

    8:00AM12:00PM

    T2:PrivacypreservingDataMininginIndustry:Practical

    ChallengesandLessonsLearned ICCCapitalSuiteRoom9(Level3)

    8:00AM12:00PM

    T4:GraphExploration:LetmeShowwhatisRelevantin

    yourGraph ICCCapitalSuiteRoom12(Level3)

    8:00AM12:00PM

    T8:OnlineEvaluationforEffectiveWebService

    Development ICCCapitalSuiteRoom6(Level3)

    8:00AM12:00PM

    T9:RedescriptionMining:Theory,Algorithms,and

    Applications ICCCapitalSuiteRoom16(Level3)

    8:00AM12:00PM

    T11:AntidiscriminationLearning:FromAssociationto

    Causation ICCCapitalSuiteRoom1(Level3)

    8:00AM12:00PM

    T15:GraphSketching,Sampling,Streaming,and

    SpaceEfficientOptimization ICCCapitalSuiteRoom15(Level3)

    8:00AM12:00PM T17:ArtificialIntelligenceinTransportation ICCCapitalSuiteRoom8(Level3)

    8:00AM12:00PM

    T19:Polarizationinsocialmedia:howtodetectand

    mitigate ICCCapitalSuiteRoom13(Level3)

    8:00AM12:00PM T21:GraphMetricSpaces ICCCapitalSuiteRoom10(Level3)

    8:00AM12:00PM T25:DataScienceinRetailasaService ICCCapitalSuiteRoom17(Level3)

    8:00AM12:00PM T32:DeepLearningforComputationalHealthcare ICCCapitalSuiteRoom14(Level3)

    8:00AM12:00PM

    T33:EndtoendGoalorientedQuestionAnswering

    Systems ICCCapitalSuiteRoom4(Level3)

    8:00AM12:00PM

    T36:ComputationalModelsforSocialandInformation

    NetworkAnalysis ICCCapitalSuiteRoom11(Level3)

    9:30AM10:00AM KDDCoffeeBreak ICCCapitalSuiteFoyer(Level3)

    1:00PM5:00PM T5:FactChecking:theoryandpractice ICCCapitalSuiteRoom1(Level3)

    1:00PM5:00PM

    T10:NetworkScienceofTeams:Characterization,

    Prediction,andOptimization ICCCapitalSuiteRoom15(Level3)

    1:00PM5:00PM T12:PrivacyatScale:LocalDifferentialPrivacyinPractice ICCCapitalSuiteRoom16(Level3)

    1:00PM5:00PM T13:RealWorldInteractiveLearning ICCCapitalSuiteRoom9(Level3)

    1:00PM5:00PM T14:LargeScaleGraphAlgorithmics:TheoryandPractice ICCCapitalSuiteRoom7(Level3)

    1:00PM5:00PM

    T18:KnowledgeDiscoveryfromCohorts,Electronic

    HealthRecordsandfurtherPatientrelateddata ICCCapitalSuiteRoom6(Level3)

    1:00PM5:00PM T20:CausalInferenceandCounterfactualReasoning ICCCapitalSuiteRoom8(Level3)

    1:00PM5:00PM T22:TheScienceofAlgorithmicMapInference ICCCapitalSuiteRoom2(Level3)

    1:00PM5:00PM T26:CrowdPoweredDataMining ICCCapitalSuiteRoom17(Level3)

    1:00PM5:00PM T30:BehaviorAnalytics:MethodsandApplications ICCCapitalSuiteRoom4(Level3)

    1:00PM5:00PM T35:TowardsMultidimensionalAnalysisofTextCorpora ICCCapitalSuiteRoom13(Level3)

  • 1:00PM5:00PM T38:ExplainableModelsforHealthcareAI ICCCapitalSuiteRoom14(Level3)

    1:00PM5:00PM

    T39:BuildingaLargescale,AccurateandFresh

    KnowledgeGraph ICCCapitalSuiteRoom10(Level3)

    1:00PM5:00PM

    T41:KnowledgeExtractionandInferencefromText:

    Shallow,Deep,andEverythinginBetwepaen ICCCapitalSuiteRoom12(Level3)

    1:00PM5:00PM

    T6/44:ModelingDatawithNetworks+Network

    Embedding:Problems,MethodologiesandFrontiers ICCCapitalSuiteRoom11(Level3)

    2:30PM3:00PM KDDCoffeeBreak ICCCapitalSuiteFoyer(Level3)

    KDD2018:Monday,August20(WORKSHOPDAY)

    7:00AM5:00PM KDD2018Registration Boulevard(Level0)

    8:00AM12:00PM D1:DeepLearningDay ICCAuditorium(Level0)

    8:00AM12:00PM D2:HealthDay

    ICCCapitalSuiteRoom12+13(Level

    3)

    8:00AM12:00PM F1:WorkshoponMiningandLearningwithGraphs ICCCapitalSuiteRoom8(Level3)

    8:00AM12:00PM F2:2018AdKDD&TargetAdWorkshop ICCCapitalSuiteRoom9(Level3)

    8:00AM12:00PM F3:BigScholar:The5thWorkshoponBigScholarlyData ICCCapitalSuiteRoom15(Level3)

    8:00AM12:00PM F4:WorkshoponMiningandLearningfromTimeSeries ICCCapitalSuiteRoom7(Level3)

    8:00AM12:00PM F5:ODDWorkshoponOutlierDetectionDeconstructed ICCCapitalSuiteRoom10(Level3)

    8:00AM12:00PM

    F6:WorkshoponInteractiveDataExplorationand

    Analytics ICCLondonSuiteRoom2+3(Level0)

    8:00AM12:00PM

    F7:FragileEarth:TheoryGuidedDataScienceto

    EnhanceScientificDiscovery ICCLondonSuiteRoom1(Level0)

    8:00AM12:00PM F8:WorkshoponSocialImpact ICCCapitalSuiteRoom1(Level3)

    8:00AM12:00PM

    F9:WorkshoponBigData,IoTStreamsand

    HeterogeneousSourceMining(BIGMINE18) ICCCapitalSuiteRoom4(Level3)

    8:00AM12:00PM F10:DataScience,Journalism&DigitalMedia ICCCapitalSuiteRoom3(Level3)

    8:00AM12:00PM

    H1:WorkshoponIssuesofSentimentDiscoveryand

    OpinionMining ICCCapitalSuiteRoom11(Level3)

    8:00AM12:00PM

    H3:WorkshoponMachineLearningandDataMiningfor

    Podcasts ICCLondonSuiteRoom4(Level0)

    8:00AM12:00PM H6:CommonModelInfrastructure ICCCapitalSuiteRoom16(Level3)

    8:00AM12:00PM H8:WorkshoponCausalDiscovery(CD2018) ICCCapitalSuiteRoom17(Level3)

    8:00AM12:00PM H11:DataScienceInFintech ICCCapitalSuiteRoom14(Level3)

    8:00AM12:00PM

    H14:AIforFashion:TheThirdInternationalWorkshop

    onFashionandKDD ICCCapitalSuiteRoom6(Level3)

    8:00AM12:00PM H17:WorkshoponUrbanComputing ICCCapitalSuiteRoom2(Level3)

    9:30AM10:00AM KDDCoffeeBreak ICCCapitalSuiteFoyer(Level3)

    11:00AM4:00PMDataScienceInstituteDirectorsRoundTableMeeting

    (InvitationOnly)BritishLibrary(Offsite)

    1:00PM4:30PM D1:DeepLearningDay ICCAuditorium(Level0)

  • 1:00PM5:00PM D2:HealthDay ICCCapitalSuiteRoom12(Level3)

    1:00PM5:00PM F1:WorkshoponMiningandLearningwithGraphs ICCCapitalSuiteRoom8(Level3)

    1:00PM5:00PM F2:2018AdKDD&TargetAdWorkshop ICCCapitalSuiteRoom9(Level3)

    1:00PM5:00PM F3:BigScholar:The5thWorkshoponBigScholarlyData ICCCapitalSuiteRoom15(Level3)

    1:00PM5:00PM F4:WorkshoponMiningandLearningfromTimeSeries ICCCapitalSuiteRoom7(Level3)

    1:00PM5:00PM F5:ODDWorkshoponOutlierDetectionDeconstructed ICCCapitalSuiteRoom10(Level3)

    1:00PM5:00PM

    F6:WorkshoponInteractiveDataExplorationand

    Analytics ICCLondonSuiteRoom2+3(Level0)

    1:00PM5:00PM

    F7:FragileEarth:TheoryGuidedDataScienceto

    EnhanceScientificDiscovery ICCLondonSuiteRoom1(Level0)

    1:00PM5:00PM F8:WorkshoponSocialImpact ICCCapitalSuiteRoom1(Level3)

    1:00PM5:00PM

    F9:WorkshoponBigData,IoTStreamsand

    HeterogeneousSourceMining(BIGMINE18) ICCCapitalSuiteRoom4(Level3)

    1:00PM5:00PM F10:DataScience,Journalism&DigitalMedia ICCCapitalSuiteRoom3(Level3)

    1:00PM5:00PM

    H2:Opinions,Conflict,andAbuseinaNetworked

    Society(OCeANS) ICCCapitalSuiteRoom13(Level3)

    1:00PM5:00PM

    H5:WorkshoponDataScienceforDigitalArtHistory:

    TacklingbigdataChallenges,Algorithms,andSystems

    (DSDAH2018) ICCCapitalSuiteRoom2(Level3)

    1:00PM5:00PM

    H7:WorkshoponOrganizationalBehaviorandTalent

    Analytics(OBTA2018) ICCCapitalSuiteRoom16(Level3)

    1:00PM5:00PM

    H9:WorkshoponKnowledgeDiscoveryandUser

    ModellingforSmartCities ICCCapitalSuiteRoom11(Level3)

    1:00PM5:00PM

    H12:ConversationalAIandItsApplications+Data

    SonificationWorkshop ICCCapitalSuiteRoom6(Level3)

    1:00PM5:00PM H15:WorkshoponQuantumMachineLearning ICCCapitalSuiteRoom14(Level3)

    1:00PM5:00PM H16:WorkshoponUtilityDrivenMining(UDM2018) ICCLondonSuiteRoom4(Level0)

    1:00PM5:00PM H18:WorkshoponMiningUrbanData ICCCapitalSuiteRoom17(Level3)

    2:00PM3:30PM NetworkingwithExperts ICCCapitalLoungeRoom1+2(Level2)

    2:30PM3:00PM KDDCoffeeBreak ICCCapitalSuiteFoyer(Level3)

    5:30PM7:00PM KDD2018OpeningSession ICCAuditorium(Level0)

    7:00PM9:30PM

    PosterReception:Group1(ResearchTrackOral,Deep

    LearningDay,andHealthDay)ICCCapitalHall(Level0)

    KDD2018:Tuesday,August21(MAINCONFERENCEDAY1)

    7:00AM5:00PM KDD2018Registration Boulevard(Level0)

    9:30AM6:00PM SponsorRoom ICCCapitalSuiteRoom5(Level3)

    9:30AM6:00PM KDDExhibitHall ICCCapitalHall(Level0)

    8:00AM9:30AM Keynote:JeannetteWingDataforGood ICCAuditorium(Level0)

    8:30AM12:00PMHandsOnTutorial:GOAI:AcceleratingtheScalableData

    ScienceEnvironmentwithGPUenabledPythonICCCapitalSuiteRoom2+3+4(Level3)

    8:30AM12:00PM HandsOnTutorial:MXNetwithfocusonNLP ICCCapitalSuiteRoom14+15+16

  • (Level3)

    9:30AM12:30PM IndiaChapterMeeting ICCLondonSuiteRoom2+3(Level0)

    9:30AM10:00AM KDDCoffeeBreak ICCCapitalHall(Level0)

    10:00AM12:00PM RT1:DeepLearningI ICCCapitalSuiteRoom8+11(Level3)

    10:00AM12:00PM ADS1:CommerceandProfiling ICCCapitalSuiteRoom7+12(Level3)

    10:00AM12:00PM RT2:ReinforcementLearning ICCCapitalSuiteRoom9+10(Level3)

    10:00AM12:00PM RT3:Matrices,KernelsandSketches ICCCapitalSuiteRoom6+13(Level3)

    10:00AM12:00PMAI1:CommerceandFinancialApplications(SujuRajan,

    MayurDatar,JamesHodson)ICCAuditorium(Level0)

    12:00PM1:30PM KDDLunch ICCCapitalHall(Level0)

    1:30PM5:30PMHandsOnTutorial:Activelearningandtransferlearning

    atscalewithRandPythonICCCapitalSuiteRoom2+3+4(Level3)

    1:30PM5:30PM HandsOnTutorial:MXNetwithfocusonNLPICCCapitalSuiteRoom14+15+16

    (Level3)

    1:30PM4:30PM ChinaChapterMeeting ICCLondonSuiteRoom2+3(Level0)

    1:30PM5:00PM KDDCupWorkshop ICCCapitalSuiteRoom1(Level3)

    1:30PM5:30PM PosterBlitzSessions ICCAuditorium(Level0)

    1:30PM3:30PMKDDPlenaryPanel:SocietalImpactofDataScienceand

    ArtificialIntelligenceICCCapitalSuiteRoom8+11(Level3)

    1:30PM3:30PM RT4:TemporalandSpatialDataMiningI ICCCapitalSuiteRoom7+12(Level3)

    1:30PM3:30PMADS2:PlanningandForecastinginFinanceand

    CommerceICCCapitalSuiteRoom9+10(Level3)

    1:30PM3:30PM RT5:GraphandSocialNetworkI ICCCapitalSuiteRoom6+13(Level3)

    2:00PM3:30PM NetworkingwithExperts ICCCapitalLoungeRoom1+2(Level2)

    3:30PM4:00PM KDDCoffeeBreak ICCCapitalHall(Level0)

    4:00PM6:00PM RT6:DeepLearningII ICCCapitalSuiteRoom8+11(Level3)

    4:00PM6:00PM RT7:TemporalandSpatialDataMiningII ICCCapitalSuiteRoom7+12(Level3)

    4:00PM6:00PM ADS3:RankingandMakingRecommendations ICCCapitalSuiteRoom9+10(Level3)

    4:00PM6:00PM RT8:GraphandSocialNetworkII ICCCapitalSuiteRoom6+13(Level3)

    4:00PM6:00PM DissertationAward ICCCapitalSuiteRoom17(Level3)

    6:00PM7:00PMKeynote:DavidHandDataScienceforFinancial

    ApplicationsICCAuditorium(Level0)

    7:00PM9:30PM

    PosterReception:Group2(AppliedDataScienceTrack,

    ResearchTrackPosters,andKDDCup)ICCCapitalHall(Level0)

    KDD2018:Wednesday,August22(MAINCONFERENCEDAY2)

    8:00AM7:00PM KDD2018Registration Boulevard(Level0)

    9:30AM6:00PM SponsorRoom ICCCapitalSuiteRoom5(Level3)

    9:30AM6:00PM KDDExhibitHall ICCCapitalHall(Level0)

    8:00AM9:30AMKeynote:AlvinRothMarketDesignandComputerized

    MarketplacesICCAuditorium(Level0)

  • 8:30AM12:00PMHandsOnTutorial:BeyondGraphMining:HigherOrder

    DataAnalyticsforTemporalNetworkDataICCCapitalSuiteRoom2+3+4(Level3)

    8:30AM12:00PM HandsOnTutorial:DeepLearningwithKerasICCCapitalSuiteRoom14+15+16

    (Level3)

    9:30AM10:00AM KDDCoffeeBreak ICCCapitalHall(Level0)

    10:00AM12:00PM RT9:SupervisedLearningI ICCCapitalSuiteRoom8+11(Level3)

    10:00AM12:00PM ADS4:UrbanPlanning ICCCapitalSuiteRoom7+12(Level3)

    10:00AM12:00PM RT10:RecommendersI ICCCapitalSuiteRoom9+10(Level3)

    10:00AM12:00PM RT11:RepresentationandEmbeddingI ICCCapitalSuiteRoom6+13(Level3)

    10:00AM12:00PMAI2:ConsumerInternetApplications(HemaRaghavan,

    GraceHuang,LunaDong)ICCAuditorium(Level0)

    10:00AM12:00PM ProjectShowcase ICCLondonSuiteRoom2+3(Level0)

    12:00PM1:30PM KDDLunch ICCCapitalHall(Level0)

    12:00PM1:30PM KDDWomen'sLunch(TicketRequired) HallsN20N23

    1:30PM5:30PMHandsOnTutorial:BeyondGraphMining:HigherOrder

    DataAnalyticsforTemporalNetworkDataICCCapitalSuiteRoom2+3+4(Level3)

    1:30PM5:30PMHandsOnTutorial:FeatureExtractionand

    SummarizationwithSequencetoSequenceLearning

    ICCCapitalSuiteRoom14+15+16

    (Level3)

    1:30PM3:30PM

    AppliedDataScienceInvitedPanel:WhoisaData

    Scientist?DefiningtheAnalyticsProfessionandCutting

    OuttheHypeandConfusion

    ICCCapitalSuiteRoom8+11(Level3)

    1:30PM6:00PM GlobalAIInitiativesEvent ICCCapitalSuiteRoom7+12(Level3)

    1:30PM3:30PM RT12:RecommendersII ICCCapitalSuiteRoom9+10(Level3)

    1:30PM3:30PM RT13:RepresentationandEmbeddingII ICCCapitalSuiteRoom6+13(Level3)

    1:30PM3:30PMAI3:DataScienceInfrastructure(EricXing,Alex

    Smola/EdoLiberty,ChrisRe)ICCAuditorium(Level0)

    1:30PM6:00PM ProjectShowcase ICCLondonSuiteRoom2+3(Level0)

    2:00PM3:30PM NetworkingwithExperts ICCCapitalLoungeRoom1+2(Level2)

    3:30PM4:00PM KDDCoffeeBreak ICCCapitalHall(Level0)

    4:00PM6:00PM RT14:SupervisedLearningII ICCCapitalSuiteRoom8+11(Level3)

    4:00PM6:00PM ADS5:Safety ICCCapitalSuiteRoom9+10(Level3)

    4:00PM6:00PM RT15:SemisupervisedandTransferLearning ICCCapitalSuiteRoom6+13(Level3)

    6:00PM7:00PM KDDBusinessPresentation ICCAuditorium(Level0)

    7:00PM8:30PM KDD2018Banquet(TicketRequired) HallsN20N23

    KDD2018:Thursday,August23(MAINCONFERENCEDAY3)

    8:00AM3:00PM KDD2018Registration Boulevard(Level0)

    9:30AM6:00PM SponsorRoom ICCCapitalSuiteRoom5(Level3)

    9:30AM1:30PM KDDExhibitHall ICCCapitalHall(Level0)

    8:00AM9:30AMKeynote:YeeWhyeTehOnBigDataLearningfor

    SmallDataProblemsICCAuditorium(Level0)

  • 8:30AM12:00PMHandsOnTutorial:IntroductiontoReinforcement

    LearningwithRayICCCapitalSuiteRoom2+3+4(Level3)

    8:30AM12:00PMHandsOnTutorial:BuildingCustomDeep

    RecommendationEngines

    ICCCapitalSuiteRoom14+15+16

    (Level3)

    9:30AM10:00AM KDDCoffeeBreak ICCCapitalHall(Level0)

    10:00AM12:00PM RT16:UnsupervisedLearningI ICCCapitalSuiteRoom8+11(Level3)

    10:00AM12:00PM ADS6:Texts,ImagesandVideos ICCCapitalSuiteRoom9+10(Level3)

    10:00AM12:00PM ADS7:MedicineandHealthcare ICCCapitalSuiteRoom7+12(Level3)

    10:00AM12:00PM RT17:MethodologyI ICCCapitalSuiteRoom6+13(Level3)

    10:00AM12:00PMAI4:NovelApplications(JosephSirosh,JenWalraven,

    JohnAbowd)ICCAuditorium(Level0)

    12:00PM1:30PM KDDLunch ICCCapitalHall(Level0)

    1:30PM5:30PMHandsOnTutorial:IntroductiontoReinforcement

    LearningwithRayICCCapitalSuiteRoom2+3+4(Level3)

    1:30PM3:30PM RT18:UnsupervisedLearningII ICCCapitalSuiteRoom8+11(Level3)

    1:30PM3:30PMADS8:NaturalSciences,Sport,andtheApplicationof

    ControlledExperimentsICCCapitalSuiteRoom7+12(Level3)

    1:30PM3:30PM RT19:KnowledgeDiscovery ICCCapitalSuiteRoom9+10(Level3)

    1:30PM3:30PM RT20:MethodologyII ICCCapitalSuiteRoom6+13(Level3)

    4:00PM5:00PM KDD2018ClosingSession ICCAuditorium(Level0)

  • KDD2018ChairsWelcomeMessage

    On behalf of the organizing committee, it is our great pleasure to welcome you to the historic city of London for the 24th

    ACMConferenceonKnowledgeDiscoveryandDataMiningKDD2018.

    These are very exciting times for our community. The terms Data Science, Artificial Intelligence, Machine Learning,

    Data Mining and Big Data have, in the last few years, grown out of research labs and gained presence in the media

    and in everyday conversations. We hear these terms on social media and from decision makers at various level, both in

    governments and corporations. The impact of these technologies is felt in almost every walk of life with novel

    applications in self driving cars, AI assistants and in the discovery of new cures. Importantly, the current rapid progress in

    data science is facilitated by the timely sharing of newly discovered approaches across research and industry. It is the

    hallmark of KDD conferences in the past that they have been the bridge between theory and practice, a great facilitator

    and catalyst for this exchange. Researchers and practitioners meet and interact in person over several days. Our

    program,withitskeynotesandinteractivetutorials,isdesignedtobringthesetwogroupstogether.

    It is also a very exciting time for London, which has recently been named as the the AI capital of Europe. We could

    have chosen no better place to host this years conference. London is home to more than 750 AI companies, operating in

    more than 30 industrial sectors, with almost half of these enterprises having a nonUK founder, and about a third with

    founders from a minority background. It is also home to many world leading academic institutions and research centers.

    ThisconfirmsLondonsinternationalandopennatureasaleadinghubforinnovationandtechnology.

    The conference this year continues with its tradition of a strong engaging and handson program including a full day of

    tutorials on Sunday and plenty of cutting edge workshops on Monday. The final three days are devoted to peer reviewed

    contributed technical papers, describing both novel, important research contributions, and applied, innovative solutions.

    Four stellar keynote talks, by British Academy Fellow David Hand, Nobel Laureate Alvin E. Roth, Columbia Univ. Data

    Science Director Jeannette M. Wing and Oxford University Professor Yee Whye Teh, will touch on some of the

    important, emerging issues in the field of data mining. With a growing industry around AI, our KDD Panel brings together

    experts to spawn discussions and exchange ideas about how AI can be used for social good. We have an outstanding

    lineup of industry speakers sharing their experiences and expertise in deploying industrial data mining solutions. Thanks

    toastronghandsontutorialprogram,participantswilllearnhowtousepracticaldatasciencetools.

    KDD 2018 puts a strong emphasis on AI development with mainstream applications featured by KDD Cup of Fresh Air

    with 4,173 teams around the globe participating in a challenge to predict air quality in cities like London and Beijing; a

    unique Deep Learning day, with world class research leaders addressing the frontiers in deep learning research and

    applications; and a Global AI Initiatives Session where major government initiatives in AI will be presented by

    representatives from various countries including UK, USA, China etc. We hope that the content and the professional

    networking opportunities at KDD 2018 will help you to succeed professionally, identify new technology trends, learn

    from contributed papers, presentations, and posters, discover new tools, processes and practices, identify new job

    opportunitiesandhirenewteammembers.

    KDD 2018 awarded a record USD 145k for student travel and set aside USD 25k to enable smaller startups to attend. Of

    particular interest is our Social Impact program, which has been an integral part of KDD for years. Its work to highlight

  • the impact of data science on projects of broad social relevance included relevant scientific papers as well as the

    development of programs such as data science for social good and projects that help NGOs and administrations to use

    data science to enhance life quality. As part of the Impact Awards program, 7 proposals for projects that bring together

    academia and social partners from different parts of the world, have been awarded a oneyear grant, renewable based

    on their impact, scale and promise. We specially encourage the participation of underrepresented and

    resourceconstrainedpartsofsocietysothatthebenefitsoftechnologiesaresharedandavailablemorebroadly.

    We are therefore confident that KDD 2018 will be a wonderful place for researchers, practitioners, funding agencies and

    investorswillingtocreatenewalgorithmicsolutionsandmaximizetheireconomicandsocietalimpact.

    The table below summarizes (numerically) different elements of the conference program and provides acceptance rates,

    wheneverapplicable.

    VenueorTrack Reviewed Accepted AcceptanceRate(%)

    ResearchTrackPapers 983 107*,74+ 10.9*,7.5+

    AppliedDataScienceTrackPapers 497 40*,72+ 8.0*,14.5+

    Workshops 52 28 53.8

    Tutorials 44 29 65.9

    HandsonTutorials 12 5(3invited) 41.6

    AppliedDataScienceTalks Invited 12 NA

    RegularKeynotes Invited 4 NA

    Panels Invited 1 NA

    Papers:*oral,+poster

    Putting together KDD 2018 has been a wonderful team effort by the members of the entire organizing committee. We

    thank the authors and the speakers for providing the content of the program. We are grateful to the program committee

    and the senior program committee, who worked very hard in reviewing papers and providing feedback for authors.

    Finally, we thank the numerous sponsors, the ACM SIGKDD and the Data Science Institute at Imperial for their support in

    organizingtheconference.

    We hope that you will find this program interesting and thoughtprovoking, and that the conference will provide you

    withavaluableopportunitytoshareideaswithotherresearchersandpractitionersfrominstitutionsaroundtheworld.

    KDD2018Chairs

    YiKeGuo(GeneralChair)

    FaisalFarooq(GeneralChair)

  • ProgramHighlightsKeynoteTalks

    JeannetteM.Wing.DirectoroftheDataSciencesInstitute(ColumbiaUniversity).DataforGood. David Hand. Emeritus Professor of Mathematics and Senior Research Investigator (Imperial College). Data

    ScienceforFinancialApplications.

    AlvinE.Roth.ProfessorofEconomics(StanfordUniversity).MarketDesignandComputerizedMarketplaces. Yee Whye Teh. Professor and Research Scientist (Oxford University and DeepMind). On Big Data Learning for

    SmallDataProblems.

    ResearchandAppliedDataScienceTracks

    181ResearchTrackPapers 112AppliedDataScienceTrackPapers

    AppliedDataScienceTrackInvitedTalks

    SujuRajan(Criteo).ComputationalAdvertisingatScale. Hema Raghavan (LinkedIn). Building Near Realtime Contextual Recommendations for Active Communities on

    LinkedIn.

    EricXing(CMU/Petuum).DataScienceInfrastructure. GraceHuang(Pinterest).ThePinterestApproachtoMachineLearning. AlexSmolaandEdoLiberty(Amazon).Algorithms,Data,HardwareandToolsaPerfectStorm. ChrisRe(Stanford).Software2.0andSnorkel:BeyondHandLabeledData. LunaDong(Amazon).ChallengesandInnovationsinBuildingaProductKnowledgeGraph. MayurDatar(Flipkart).DataScienceatFlipkartAnIndianECommercecompany. JosephSirosh(Microsoft).PlanetScaleLandCoverClassificationWithFPGAs. JenWalraven(Netflix).DataScienceandEntertainmentProduction. JohnAbowd(CensusBureau).TheU.S.CensusBureauAdoptsDifferentialPrivacy. JamesHodson(JozefStefanInstitute).Humans,Jobs,andtheEconomy.

    AppliedDataSciencePanel

    PanelChair:UsamaFayyad(OODAHealthandOpenInsights).WhoisaDataScientist?DefiningtheAnalyticsProfessionandCuttingOuttheHypeandConfusion

    KDDPanel

    Moderator:FosterProvost.SocietalImpactofDataScienceandArtificialIntelligence.

    Tutorials

    T1:GraphandTensorMiningforFunandProfit T2:PrivacypreservingDataMininginIndustry:PracticalChallengesandLessonsLearned T4:GraphExploration:LetmeShowwhatisRelevantinyourGraph T5:FactChecking:theoryandpractice T6/44:ModelingDatawithNetworks+NetworkEmbedding:Problems,MethodologiesandFrontiers T8:OnlineEvaluationforEffectiveWebServiceDevelopment

  • T9:RedescriptionMining:Theory,Algorithms,andApplications T10:NetworkScienceofTeams:Characterization,Prediction,andOptimization T11:AntidiscriminationLearning:FromAssociationtoCausation T12:PrivacyatScale:LocalDifferentialPrivacyinPractice T13:RealWorldInteractiveLearning T14:LargeScaleGraphAlgorithmics:TheoryandPractice T15:GraphSketching,Sampling,Streaming,andSpaceEfficientOptimization T18:KnowledgeDiscoveryfromCohorts,ElectronicHealthRecordsandfurtherPatientrelateddata T17:ArtificialIntelligenceinTransportation T19:Polarizationinsocialmedia:howtodetectandmitigate T20:CausalInferenceandCounterfactualReasoning T21:GraphMetricSpaces T22:TheScienceofAlgorithmicMapInference T25:DataScienceinRetailasaService T26:CrowdPoweredDataMining T30:BehaviorAnalytics:MethodsandApplications T32:DeepLearningforComputationalHealthcare T33:EndtoendGoalorientedQuestionAnsweringSystems T35:TowardsMultidimensionalAnalysisofTextCorpora T36:ComputationalModelsforSocialandInformationNetworkAnalysis T38:ExplainableModelsforHealthcareAI T39:BuildingaLargescale,AccurateandFreshKnowledgeGraph T41:KnowledgeExtractionandInferencefromText:Shallow,Deep,andEverythinginBetween

    HealthDay PlenaryPanelDiscussion:SavingLiveswithDataScience

    TaeHyunHwang(ClevelandClinic),CarlyEckertMD(KenSci),DavidLoweMD(NHSScotland),ScottWagers(BIOScienceConsulting),BharatRao(KPMGUS),ModeratedbyProf.AnkurTeredesai

    3Workshops: WorkshoponMachineLearningforMedicineandHealthcare WorkshoponDataMininginBioinformatics(BIOKDD2018) epiDAMIK:EpidemiologymeetsDataMiningandKnowledgeDiscovery

    21InvitedPostersatKDDPosterSession

    KDDWorkshops F1:WorkshoponMiningandLearningwithGraphs F2:2018AdKDD&TargetAdWorkshop F3:BigScholar:The5thWorkshoponBigScholarlyData F4:WorkshoponMiningandLearningfromTimeSeries F5:ODDWorkshoponOutlierDetectionDeconstructed F6:WorkshoponInteractiveDataExplorationandAnalytics F7:FragileEarth:TheoryGuidedDataSciencetoEnhanceScientificDiscovery F8:WorkshoponSocialImpact F9:WorkshoponBigData,IoTStreamsandHeterogeneousSourceMining(BIGMINE18) F10:DataScience,Journalism&DigitalMedia H1:WorkshoponIssuesofSentimentDiscoveryandOpinionMining H2:Opinions,Conflict,andAbuseinaNetworkedSociety(OCeANS) H3:WorkshoponMachineLearningandDataMiningforPodcasts

  • H5:WorkshoponDataScienceforDigitalArtHistory:TacklingbigdataChallenges,Algorithms,andSystems(DSDAH2018)

    H6:CommonModelInfrastructure H7:WorkshoponOrganizationalBehaviorandTalentAnalytics(OBTA2018) H8:WorkshoponCausalDiscovery(CD2018) H9:WorkshoponKnowledgeDiscoveryandUserModellingforSmartCities H11:DataScienceInFintech H12:ConversationalAIandItsApplications+DataSonificationWorkshop H14:AIforFashion:TheThirdInternationalWorkshoponFashionandKDD H15:WorkshoponQuantumMachineLearning H16:WorkshoponUtilityDrivenMining(UDM2018) H17:WorkshoponUrbanComputing H18:WorkshoponMiningUrbanData28Workshops

    DeepLearningDay

    10Invited/ContributedTalks ContributedSpotlights PosterSession(jointlywithKDDposters)

    HandsOnTutorials

    MXNetwithfocusonNLP.AlexSmola(Amazon),MuLi(Amazon). GOAI: Accelerating the Scalable Data Science Environment with GPUenabled Python. Brad Rees (Nvidia), Keith

    Kraus(Nvidia),JoshuaPatterson(Nvidia).

    Active learning and transfer learning at scale with R and Python. JohnMark Agosta (Microsoft), Olga Liakhovich (Microsoft), Robert Horton (Microsoft), Mario Inchiosa (Microsoft), Justin Ormont (Microsoft), Vanja Pauni (Microsoft), Siddarth Ramesh (Microsoft), Tomas Singliar (Microsoft), AliKazim Zaidi (Microsoft), and Hang

    Zhang(Microsoft).

    DeepLearningwithKeras.AnjaliSridhar(Google). Feature Extraction and Summarization with Sequence to Sequence Learning. Hamel Husain (Github), HoHsiang

    Wu(Github).

    Beyond Graph Mining: HigherOrder Data Analytics for Temporal Network Data. Renaud Lambiotte (Univ. of Oxford), Martin Rosvall (Ume University), Michael Schaub (MIT), Ingo Scholtes (ETH Zurich), Jian Xu (Citadel

    LLC).

    BuildingCustomDeepRecommendationEngines.ChrisMoody(Stitchfix). IntroductiontoReinforcementLearningwithRay.VrushankVora(PapertLab.).

    ProjectShowcase

    4Keynotes JohnDavies(BritishTelecom) NuriaDeLamaSanchez(ATOS) MarkoGrobelnik(J.StefanInstitute) ChaitanyaBaru(NSF,USA)

    17Presentations(10minseach) 29Posters

  • KDD2018TutorialProgram

    SundayAugust19th,2018(LocationsprovidedintheAgendaataGlancesection)

    8:00AM12:00PMT1:GraphandTensorMiningforFunandProfit 8:00AM12:00PMT2:PrivacypreservingDataMininginIndustry:PracticalChallengesandLessonsLearned 8:00AM12:00PMT4:GraphExploration:LetmeShowwhatisRelevantinyourGraph 8:00AM12:00PMT8:OnlineEvaluationforEffectiveWebServiceDevelopment 8:00AM12:00PMT9:RedescriptionMining:Theory,Algorithms,andApplications 8:00AM12:00PMT11:AntidiscriminationLearning:FromAssociationtoCausation 8:00AM12:00PMT15:GraphSketching,Sampling,Streaming,andSpaceEfficientOptimization 8:00AM12:00PMT17:ArtificialIntelligenceinTransportation 8:00AM12:00PMT19:Polarizationinsocialmedia:howtodetectandmitigate 8:00AM12:00PMT21:GraphMetricSpaces 8:00AM12:00PMT25:DataScienceinRetailasaService 8:00AM12:00PMT32:DeepLearningforComputationalHealthcare 8:00AM12:00PMT33:EndtoendGoalorientedQuestionAnsweringSystems 8:00AM12:00PMT36:ComputationalModelsforSocialandInformationNetworkAnalysis 1:00PM5:00PMT5:FactChecking:theoryandpractice 1:00PM5:00PMT10:NetworkScienceofTeams:Characterization,Prediction,andOptimization 1:00PM5:00PMT12:PrivacyatScale:LocalDifferentialPrivacyinPractice 1:00PM5:00PMT13:RealWorldInteractiveLearning 1:00PM5:00PMT14:LargeScaleGraphAlgorithmics:TheoryandPractice 1:00PM 5:00PM T18: Knowledge Discovery from Cohorts, Electronic Health Records and further Patientrelated

    data

    1:00PM5:00PMT20:CausalInferenceandCounterfactualReasoning 1:00PM5:00PMT22:TheScienceofAlgorithmicMapInference 1:00PM5:00PMT26:CrowdPoweredDataMining 1:00PM5:00PMT30:BehaviorAnalytics:MethodsandApplications 1:00PM5:00PMT35:TowardsMultidimensionalAnalysisofTextCorpora 1:00PM5:00PMT38:ExplainableModelsforHealthcareAI 1:00PM5:00PMT39:BuildingaLargescale,AccurateandFreshKnowledgeGraph 1:00PM5:00PMT41:KnowledgeExtractionandInferencefromText:Shallow,Deep,andEverythinginBetween 1:00PM 5:00PM T6/44: Modeling Data with Networks + Network Embedding: Problems, Methodologies and

    Frontiers

  • KDD2018HealthDayProgram

    SundayAugust19th,2018Tutorials

    DeepLearningforComputationalHealthcare.EdwardChoi(GeorgiaTech),CaoXiao(IBMResearch)andJimengSun(GeorgiaTech)

    KnowledgeDiscoveryfromCohorts,ElectronicHealthRecordsandfurtherPatientrelateddata.PanagiotisPapapetrou(StockholmUniversity)andMyraSpiliopoulou(UniversityofMagdeburg)

    ExplainableModelsforHealthcareAI.MuhammadAurangzebAhmad(KenSci),Dr.CarlyEckert(KenSci),andAnkurTeredesai(KenSci&UniversityofWashington)

    8:00AM5:00PMScheduleVariousRooms

    TutorialSchedule 08:009:30AMDeepLearningforComputationalHealthcareICCCapitalSuiteRoom14(Level3) 09:3010:00AMCoffeeBreak 10:0012:00AMDeepLearningforComputationalHealthcare(Continued)ICCCapitalSuiteRoom14(Level3) 12:001:00PMLunch(onyourown) 1:002:30PMKnowledgeDiscoveryfromCohorts,ElectronicHealthRecordsandfurtherPatientrelateddata

    ICCCapitalSuiteRoom6(Level3)

    1:002:30PMExplainableModelsInHealthcareAIICCCapitalSuiteRoom14(Level3) 2:303:00PMCoffeeBreak 3:005:00PMKnowledgeDiscoveryfromCohorts,ElectronicHealthRecordsandfurtherPatientrelateddata

    ICCCapitalSuiteRoom6(Level3)

    3:005:00PMExplainableModelsInHealthcareAI(continued)ICCCapitalSuiteRoom14(Level3)

    MondayAugust20th,2018

    Workshops:

    WorkshoponEpidemiologymeetsDataMiningandKnowledgediscovery(epiDAMIK).B.AdityaPrakash. WorkshoponMachineLearningforMedicineandHealthcare.MansoorSaqiandPrithwishChakraborty. WorkshoponDataMininginBioinformatics(BIOKDD2018).DaYan.

    8:00AM5:00PMScheduleICCCapitalSuiteRoom12(+13)(Level3)Schedule

    08:0008:50AMOpeningPanelDiscussion:SavingLiveswithDataScience 09:0009:30AMWorkshop1:WorkshoponEpidemiologymeetsDataMiningandKnowledgediscovery

    (epiDAMIK)&Workshop2:WorkshoponDataMininginBioinformatics(BIOKDD2018) 09:3010:00AMCoffeeBreak 10:0012:00AMWorkshop1&Workshop2continue 12:001:00PMLunch&JointWorkshopPosters 1:002:30PMWorkshop3:WorkshoponMachineLearningforMedicineandHealthcare. 2:303:00PMCoffeeBreak 3:005:00PMWorkshop3Continues 7:009:30PMInvitedPostersfromHealthDayatKDDPosterReception

  • KDD2018WorkshopProgram***Pleasechecktheworkshopwebpagesforlatestschedules***

    MondayAugust20,2018(LocationsprovidedintheAgendaataGlancesection)

    8:00AM5:00PMF1:WorkshoponMiningandLearningwithGraphs 8:00AM5:00PMF2:2018AdKDD&TargetAdWorkshop 8:00AM5:00PMF3:BigScholar:The5thWorkshoponBigScholarlyData 8:00AM5:00PMF4:WorkshoponMiningandLearningfromTimeSeries 8:00AM5:00PMF5:ODDWorkshoponOutlierDetectionDeconstructed 8:00AM5:00PMF6:WorkshoponInteractiveDataExplorationandAnalytics 8:00AM5:00PMF7:FragileEarth:TheoryGuidedDataSciencetoEnhanceScientificDiscovery 8:00AM5:00PMF8:WorkshoponSocialImpact 8:00AM5:00PMF9:WorkshoponBigData,IoTStreamsandHeterogeneousSourceMining(BIGMINE18) 8:00AM5:00PMF10:DataScience,Journalism&DigitalMedia 8:00AM12:00PMH1:WorkshoponIssuesofSentimentDiscoveryandOpinionMining 8:00AM12:00PMH3:WorkshoponMachineLearningandDataMiningforPodcasts 8:00AM12:00PMH6:CommonModelInfrastructure 8:00AM12:00PMH8:WorkshoponCausalDiscovery(CD2018) 8:00AM12:00PMH11:DataScienceInFintech 8:00AM12:00PMH14:AIforFashion:TheThirdInternationalWorkshoponFashionandKDD 8:00AM12:00PMH17:WorkshoponUrbanComputing 1:00PM5:00PMH2:Opinions,Conflict,andAbuseinaNetworkedSociety(OCeANS) 1:00PM5:00PMH5:WorkshoponDataScienceforDigitalArtHistory:TacklingbigdataChallenges,Algorithms,

    andSystems(DSDAH2018) 1:00PM5:00PMH7:WorkshoponOrganizationalBehaviorandTalentAnalytics(OBTA2018) 1:00PM5:00PMH9:WorkshoponKnowledgeDiscoveryandUserModellingforSmartCities 1:00PM5:00PMH12:ConversationalAIandItsApplications+DataSonificationWorkshop 1:00PM5:00PMH15:WorkshoponQuantumMachineLearning 1:00PM5:00PMH16:WorkshoponUtilityDrivenMining(UDM2018) 1:00PM5:00PMH18:WorkshoponMiningUrbanData

  • KDD2018DeepLearningDayProgram

    MondayAugust20th,2018 8:00AM4:30PMScheduleICCAuditorium(Level0)

    8:0008:30AMTamaraBroderick(MIT) 8:3009:15AMAndrejKarpathy(Tesla) 9:1509:45AMQiaozhuMei(UMich) 9:4510:15AMCoffeeBreak 10:1510:45AMKyunghyunCho(NYU/Facebook) 10:4511:30AMRichardSocher(Salesforce/Stanford) 11:3012:00PMOriolVinyals(DeepMind) 12:001:00PMLunch 1:001:30PMAliRahimi(Google) 1:302:15PMDawnSong(UCBerkeley) 2:152:30PMCoffeeBreak 2:303:00PMSoumithChintala(Facebook) 3:003:30PMLeSong(GaTech) 3:303:45PMCoffeeBreak 3:454:30PMContributedspotlights 7:009:30PMDLDayPosterSession(togetherwithmainKDDpostersession)

  • KDD2018HandsOnTutorialProgram

    TuesdayAugust21,2018

    8:30AM12:00PM,1:30PM5:30PMHandsOnTutorial1ICCCapitalSuiteRoom14+15+16

    Title:MXNetwithfocusonNLP

    Instructors:AlexSmola(Amazon),MuLi(Amazon)

    8:30AM12:00PMHandsOnTutorial2ICCCapitalSuiteRoom2+3+4

    Title:GOAI:AcceleratingtheScalableDataScienceEnvironmentwithGPUenabledPython

    Instructors:BradRees(Nvidia),KeithKraus(Nvidia),JoshuaPatterson(Nvidia)

    1:30AM5:30PMHandsOnTutorial3ICCCapitalSuiteRoom2+3+4

    Title:ActivelearningandtransferlearningatscalewithRandPython

    Instructors: JohnMark Agosta (Microsoft), Olga Liakhovich (Microsoft), Robert Horton (Microsoft), Mario Inchiosa

    (Microsoft), Justin Ormont (Microsoft), Vanja Pauni (Microsoft), Siddarth Ramesh (Microsoft), Tomas Singliar (Microsoft),AliKazimZaidi(Microsoft),andHangZhang(Microsoft)

    WednesdayAugust22,20188:30AM12:00PMHandsOnTutorial4ICCCapitalSuiteRoom14+15+16

    Title:DeepLearningwithKeras

    Instructors:AnjaliSridhar(Google)

    1:30AM5:30PMHandsOnTutorial5ICCCapitalSuiteRoom14+15+16

    Title:FeatureExtractionandSummarizationwithSequencetoSequenceLearning

    Instructors:HamelHusain(Github),HoHsiangWu(Github)

    8:30AM12:00PM,1:30PM5:30PMHandsOnTutorial6ICCCapitalSuiteRoom2+3+4

    Title:BeyondGraphMining:HigherOrderDataAnalyticsforTemporalNetworkData

    Instructors: Renaud Lambiotte (Univ. of Oxford), Martin Rosvall (Ume University), Michael Schaub (MIT), Ingo Scholtes

    (ETHZurich),JianXu(CitadelLLC)

    ThursdayAugust23,2018

    8:30AM12:00PMHandsOnTutorial7ICCCapitalSuiteRoom14+15+16

    Title:BuildingCustomDeepRecommendationEngines

    Instructors:ChrisMoody(Stitchfix)

    8:30AM12:00PM,1:30PM5:30PMHandsOnTutorial8ICCCapitalSuiteRoom2+3+4

    Title:IntroductiontoReinforcementLearningwithRay

    Instructors:VrushankVora(PapertLab.)

  • KDDCup2018Program

    TuesdayAugust21,20181:30PM5:00PMScheduleICCCapitalSuiteRoom1(Level3)

    1:302:00PMKeynoteSpeaker:RosalindODriscoll(SeniorPolicyOfficerforAirQualityattheGreaterLondonAuthority)

    2:002:30PMKDDCupwinnertalks#1 2:303:00PMKeynoteSpeaker:MariosMichailidis(DataScientistatH2O.ai,current#2andformer#1atKaggle) 3:003:30PMKDDCupwinnertalks#2 3:304:00PMCoffeeBreak 4:005:00PMPanelHowcanwinningDataSciencecompetitionsbenefityourcareerdevelopment?Gilberto

    Titericz(Current#2,former#1atKaggle),MariosMichailidis(Current#3,former#1atKaggle),AbhishekThakur(Former#3atKaggle),ClaudiaPerlich(4timesKDDCupwinner),JacobSpoelstra(KDDCupwinner,2ndplaceatNetflixGrandPrize).

  • KDD2018ProjectShowcaseProgram

    WednesdayAugust22,201810:00AM6:00PMScheduleICCLondonSuiteRoom2+3(Level0)Keynotes

    JohnDavies(BritishTelecom,UK) NuriaDeLamaSanchez(ATOS,ES) MarkoGrobelnik(J.StefanInstitute,SI) ChaitanyaBaru(NSF,USA)

    Agenda

    9:30AM10:00AMKDDCoffeebreak 10:00AM10:20KeynotebyJohnDavies(BritishTelecom) 10:20AM11:30AMPresentationsI(7projects,10minseach) 11:30AM12:00PMDemosI(ofthepresented7projects+3posters) 12:00PM1:30PMKDDLunchbreak 1:30PM1:50PMKeynotebyNuriaDeLamaSanchez(ATOS) 1:50PM3:00PMPresentationsII(7projects,10minseach) 3:00PM3:30PMDemosII(thepresented7projects+3posters) 3:30PM4:00PMCoffeeBreak 4:00PM4:15pmKeynotebyMarkoGrobelnik(IJS) 4:15pm4:45pmPresentationsIII(3projects,10minseach) 4:45pm5:15mDemosIII(thepresented3projects+6posters) 5:15pm5:30PMKeynotebyChaitanyaBaru(NSF) 5:30PM6:00PMPanel

    PresentationsIandDemosI

    JohnDavies.CityVerve:SmarterTransportthroughdataanalytics. BlaKai,KlemenKendaandDunjaMladeni.SUNSEED(Sustainableandrobustnetworkingforsmart

    electricitydistribution). ShangTseChen,CoryCornelius,JasonMartinandDuenHorngChau.PhysicalAdversarialAttackonObject

    Detectors. SalmanTaherizadeh,BlazNovak,MarkoGrobelnik,MarijaKomatarandSebastjanVagaja.PrEstoCloud:Proactive

    CloudResourcesManagementattheEdgeforEfficientRealTimeBigDataProcessing. MarkoGrobelnik,BlazFortuna,GregorLeban,JanRupnikandAndrejMuhic.XlikeCrosslingualKnowledge

    Extraction(FP7ICT20117). JoaoPitaCosta,LukaStopar,PaulCarlin,FlavioFuart,MarkoGrobelnik,RaghuSantanam,ChenLu,Jonathan

    WallaceandMichaelaBlack.MiningMedlineforthevisualisationofaglobalperspectiveonbiomedicalknowledge.

    JiamingShen,JinfengXiao,YuZhang,CarlYang,JingboShang,JindaHan,SaurabhSinha,PeipeiPing,RichardWeinshilboum,ZhiyongLuandJiaweiHan.SetSearch+:EntitySetAwareSearchandMiningforScientificLiterature.

    DemosI ZalaHerga,LukaBradeko,MatejSenoetnik,JasnaUrbaniandTineubic.OPTIMUMProject:Geospatialdata

    analysisforsustainablemobility. ErikNovak,BlazFortunaandPrimozSkraba.X5GONProjectShowcase. RichardStevens,GabriellaCattaneo,HelenaSchwenk,CristinaPepato,ChristopherOstbergHansen,NuriaDe

    LamaSanchez,TomasParienteLobo,ChiaraFrancalanci,BarbaraPernici,AngelaGeronazzo,PaoloGiacomazzi,

  • LuciaPolidori,ArneJrgenBerre,VolkerHoffman,MarkoGrobelnik,JamesHodson,TodorIvanov,RobertoV.Zicari.DataBench:EvidenceBasedBigDataBenchmarkingtoImproveBusinessPerformance.

    PresentationsIIandDemosII InnaNovalija,ErikNovakandMarkoGrobelnik.EuropeanDataScienceAcademy. KeqianLi,PingZhang,HongleiLiu,HanwenZhaandXifengYan.PoQaa:DeepLiteratureMiningforOpenAccess

    Publications. HanwenZha,JiamingShen,KeqianLi,WarrenGreiff,MichelleVanni,JiaweiHanandXifengYan.FTS:Faceted

    TaxonomyConstructionandSearchforScientificPublications. AljaKomerlj,PatrikZajecandanPali.EWShoppProjectShowcase:SupportingEventandWeatherbased

    DataAnalyticsandMarketingalongtheShopperJourney. JianZhang,RichardWydrowski,ZeqiangWang,SaiArrabolu,KeijiKanazawa,LechGudalewicz,HongGao,Roman

    RomanBatoukov,SourenAghajanyanandKennethTran.Mbius:OnlineAnomalyDetectionandDiagnosis. MatejAleksandrov,MatejBatic,MihaKadunc,KlemenKenda,GregaMilcinski,RokMocnik,DevisPeressutti,

    BlazSovdatandAnzeZupanc.DemocratisingEarthObservationBigDataWitheolearn:ApplicationtoWaterLevelMonitoring.

    UlrichGermann,AlexandraBirch,PeggyvanderKreeft,GuntisBarzdinsandSteveRenals.SUMMA:ScalableUnderstandingofMultilingualMedia.

    DemosII ZhouShao,JieTang,YutaoZhang,BoGaoandYongliWang.ScholarTrajectory:VisualizingtheMigrationof

    Talents. NilakshDas,MadhuriShanbhogue,ShangTseChen,FredHohman,SiweiLi,LiChen,MichaelKounavisandDuen

    HorngChau.CompressiontotheRescue:DefendingfromAdversarialAttacksAcrossModalities. MehdiAkbarianRastaghi,BehshidBehkamalandAsefPourmasoumi.MEEM:MeetingofEventsandEvidenceon

    theMap.PresentationsIIIandDemosIII

    JingboShang,QiZhu,JiamingShen,XuanWang,XiaotaoGu,LanceKaplan,TimothyHarrattyandJiaweiHan.AutoNet:AutomatedNetworkConstructionandExplorationSystemfromDomainSpecificCorpora.

    SamuelMatthewsandMaryBonin.TheCOTSDashboard:AdaptingBusinessIntelligencetohelpprotecttheGreatBarrierReef.

    DanielGartner,RemaPadmanandYiyeZhang.JPLOS:JavabasedPlatformforLearningOrderSets.DemosIII

    LiyiZhouandChaoWu.BlockchainbasedSensoryDataAcquisitionandValidation. AnsgarKoene,LizDowthwaite,GilesLane,HelenaWebb,VirginiaPortilloandMarinaJirotka.UnBias:

    EmancipatingUsersAgainstAlgorithmicBiasesforaTrustedDigitalEconomy. DahengWang,MengJiang,XueyingWang,TongZhao,QingkaiZengandNiteshChawla.AProjectShowcasefor

    PlanningResearchWorktowardsPublishableSuccess. NoaYehezkel.IdentifyingExoplanetsUsingDeepLearningMethods. EddyMaddalena,LuisIbanezGonzalez,ElenaSimperl,MattiaZeni,EnricoBignotti,FaustoGiunchiglia,Claus

    Stadler,PatrickWestphal,LusP.F.GarciaandJensLehmann.QROWD:BecauseBigDataIntegrationisHumanlyPossible.

    AnsgarKoene,AdamLeonSmith,TakashiEgawa,SukanyaMandalandYohkoHatada.IEEEP70xx,EstablishingStandardsforEthicalTechnology.

  • KDD2018ConferenceProgram

    MondayAugust20,2018DetailedProgram

    Monday7:00AM5:00PM,Registration,RegistrationDeskBoulevard(Level0)

    Monday5:30PM7:00PM,KDD2018OpeningSessionICCAuditorium(Level0)

    Monday August 20, 7:00PM 9:30PM, Poster Reception Group 1: Research Track (Oral), Deep Learning Day, and

    HealthDayICCCapitalHall(Level0)

    1.SubspaceNetwork:DeepMultiTaskCensoredRegressionforModelingNeurodegenerativeDiseasesMengyingSun(MichiganStateUniversity);InciM.Baytas(MichiganStateUniversity);LiangZhan(UniversityofWisconsinStout);ZhangyangWang(TexasA&MUniversity);JiayuZhou(MichiganStateUniversity)2.VoxelDeconvolutionalNetworksfor3DBrainImageLabelingYongjunChen(WashingtonStateUniversity);HongyangGao(WashingtonStateUniversity);LeiCai(WashingtonStateUniversity);MinShi(WashingtonStateUniversity);DinggangShen(TheUniversityofNorthCarolinaatChapelHill);ShuiwangJi(WashingtonStateUniversity)3.DeepVariationalNetworkEmbeddinginWassersteinSpaceDingyuanZhu(TsinghuaUniversity);PengCui(TsinghuaUniversity);DaixinWang(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)4.ExactandConsistentInterpretationforPiecewiseLinearNeuralNetworks:AClosedFormSolutionLingyangChu(SimonFraserUniversity);XiaHu(SimonFraserUniversity);JuhuaHu(SimonFraserUniversity);LanjunWang(HuaweiTechnologyCo.Ltd);JianPei(JD.comandSimonFraserUniversity)5.TowardsExplanationofDNNbasedPredictionwithGuidedFeatureInversionMengnanDu(TexasA&MUniversity);NinghaoLiu(TexasA&MUniversity);QingquanSong(TexasA&MUniversity);XiaHu(TexasA&MUniversity)6.EfficientLargeScaleFleetManagementviaMultiAgentDeepReinforcementLearningKaixiangLin(MichiganStateUniversity);RenyuZhao(AILabs,DidiChuxing);ZheXu(AILabs,DidiChuxing);JiayuZhou(MichiganStateUniversity)7.InvestorImitator:AFrameworkforTradingKnowledgeExtractionYiDing(NanjingUniversityofAeronauticsandAstronautics);WeiqingLiu(Microsoft);JiangBian(Microsoft);DaoqiangZhang(NanjingUniversityofAeronauticsandAstronautics);TieYanLiu(Microsoft)8.TranscribingContentfromStructuralImageswithSpotlightMechanismYuYin(UniversityofScienceandTechnologyofChina);ZhenyaHuang(UniversityofScienceandTechnologyofChina);EnhongChen(UniversityofScienceandTechnologyofChina);QiLiu(UniversityofScienceandTechnologyofChina);FuzhengZhang(Microsoft);XingXie(Microsoft);GuopingHu(iFLYTEKResearch)9.IntelliLight:aReinforcementLearningApproachforIntelligentTrafficLightControlHuaWei(ThePennsylvaniaStateUniversity);GuanjieZheng(ThePennsylvaniaStateUniversity);HuaxiuYao(ThePennsylvaniaStateUniversity);ZhenhuiLi(ThePennsylvaniaStateUniversity)10.SupervisedReinforcementLearningwithRecurrentNeuralNetworkforDynamicTreatmentRecommendation

  • LuWang(EastChinaNormalUniversity);WeiZhang(EastChinaNormalUniversity);XiaofengHe(EastChinaNormalUniversity);HongyuanZha(GeorgiaInstituteofTechnology)11.ActiveFeatureAcquisitionwithSupervisedMatrixCompletionShengJunHuang(NUAA);MiaoXu(RIKENCenterforAIP);MingKunXie(NUAA);MasashiSugiyama(RIKENCenterforAIP);GangNiu(TheUniversityofTokyo);SongcanChen(NUAA)12.DiscreteRankingbasedMatrixFactorizationwithSelfPacedLearningYanZhang(UniversityofScienceandTechnologyofChina);HaoyuWang(UniversityofScienceandTechnologyofChina);DefuLian(UniversityofScienceandTechnologyofChina);IvorW.Tsang(UniversityofTechnology,Sydney);HongzhiYin(TheUniversityofQueensland);GuowuYang(UniversityofScienceandTechnologyofChina)13.SUSTain:ScalableUnsupervisedScoringforTensorsanditsApplicationtoPhenotypingIoakeimPerros(GeorgiaInstituteofTechnology);EvangelosPapalexakis(UniversityofCaliforniaRiverside);HaesunPark(GeorgiaInstituteofTechnology);RichardVuduc(GeorgiaInstituteofTechnology);XiaoweiYan(SutterHealth);ChristopherDefilippi(InovaHeartandVascularInstitute);WalterF.Stewart(SutterHealth);JimengSun(GeorgiaInstituteofTechnology)14.DisturbanceGrassmannKernelsforSubspaceBasedLearningJunyuanHong(UniversityofScienceandTechnologyofChina);HuanhuanChen(UniversityofScienceandTechnologyofChina);FengLin(UniversityofScienceandTechnologyofChina)15.OptimalDistributedSubmodularOptimizationviaSketchingMohammadhosseinBateni(Google);HosseinEsfandiari(HarvardUniversity);VahabMirrokni(Google)16.HighorderProximityPreservingInformationNetworkHashingDefuLian(UniversityofScienceandTechnologyofChina);KaiZheng(UniversityofScienceandTechnologyofChina);VincentW.Zheng(AdvancedDigitalSciencesCenter);YongGe(UniversityofArizona);LongbingCao(UniversityofTechnology,Sydney);IvorW.Tsang(UniversityofTechnology,Sydney);XingXie(Microsoft)17.DecoupledLearningforFactorialMarkedTemporalPointProcessesWeichangWu(ShanghaiJiaoTongUniversity);JunchiYan(ShanghaiJiaoTonglUniversity);XiaokangYang(ShanghaiJiaoTongUniversity);HongyuanZha(GeorgiaInstituteofTechnology)18.ADualMarkovChainTopicModelforDynamicEnvironmentsAyanAcharya(CognitiveScaleInc.);JoydeepGhosh(TheUniversityofTexasatAustin);MingyuanZhou(TheUniversityofTexasatAustin)19.StockAssIstant:AStockAIAssistantforReliabilityModelingofStockCommentsChenZhang(360SearchLab);HaoWang(360SearchLab);ChangyingDu(360SearchLab);YijunWang(LineZoneData);CanChen(LineZoneData);HongzhiYin(TheUniversityofQueensland)20.YouAreHowYouDrive:PeerandTemporalAwareRepresentationLearningforDrivingBehaviorAnalysisPengyangWang(MissouriUniversityofScienceandTechnology);YanjieFu(MissouriUniversityofScienceandTechnology);JiaweiZhang(FloridaStateUniversity);PengfeiWang(CNIC,ChineseAcademyofSciences);YuZheng(UrbanComputingBusinessUnit,JDFinance);CharuAggarwal(IBM)21.ExploringtheUrbanRegionofInterestthroughtheAnalysisofOnlineMapSearchQueriesYingSun(ICT,CAS);HengshuZhu(BaiduInc.);FuzhenZhuang(InstituteofComputingTechnology,ChineseAcademyofSciences);JingjingGu(NUAA,Nanjing);QingHe(InstituteofComputingTechnology,CAS)22.GraphClassificationusingStructuralAttention

  • JohnBoazLee(WPI);RyanRossi(AdobeResearch);XiangnanKong(WPI)23.SpotLight:DetectingAnomaliesinStreamingGraphsDhivyaEswaran(CarnegieMellonUniversity);ChristosFaloutsos(CarnegieMellonUniversity);SudiptoGuha(Amazon);NinaMishra(Amazon)24.AdversarialAttacksonNeuralNetworksforGraphDataDanielZgner(TechnicalUniversityofMunich);AmirAkbarnejad(TechnicalUniversityofMunich);StephanGnnemann(TechnicalUniversityofMunich)25.MultiRoundInfluenceMaximizationLichaoSun(UniversityofIllinoisatChicago);WeiranHuang(TsinghuaUniversity);PhilipYu(UniversityofIllinoisatChicago);WeiChen(Microsoft)26.EvoGraph:AnEffectiveandEfficientGraphUpscalingMethodforPreservingGraphPropertiesHimchanPark(DGIST);MinSooKim(DGIST)27.XiaoIceBand:AMelodyandArrangementGenerationFrameworkforPopMusicHongyuanZhu(USTC);QiLiu(USTC);NicholasJingYuan(Microsoft);ChuanQin(USTC);JiaweiLi(SoochowUniversity);KunZhang(USTC);GuangZhou(Microsoft);FuruWei(Microsoft);YuanchunXu(Microsoft);EnhongChen(USTC)28.CostEffectiveTrainingofDeepCNNswithActiveModelAdaptationShengJunHuang(NUAA);JiaWeiZhao(NUAA);ZhaoYangLiu(NUAA)29.SmoothedDilatedConvolutionsforImprovedDensePredictionZhengyangWang(WashingtonStateUniversity);ShuiwangJi(WashingtonStateUniversity)30.LearningDeepNetworkRepresentationswithAdversariallyRegularizedAutoencodersWenchaoYu(UniversityofCalifornia,LosAngeles);ChengZheng(UniversityofCalifornia,LosAngeles);WeiCheng(NECLabsAmerica);CharuAggarwal(IBM);DongjinSong(NEC);BoZong(NEC);HaifengChen(NEC);WeiWang(UniversityofCalifornia,LosAngeles)31.DeeprthRootRankSupervisedJointBinaryEmbeddingforMultivariateTimeSeriesRetrievalDongjinSong(NECLabsAmerica);NingXia(NECLabsAmerica);WeiCheng(NECLabsAmerica);HaifengChen(NECLabsAmerica);DachengTao(TheUniversityofSydney)32.GeographicalHiddenMarkovTreeforFloodExtentMappingMiaoXie(UniversityofAlabama);ZheJiang(UniversityofAlabama);ArpanManSainju(UniversityofAlabama)33.DynamicBikeReposition:ASpatioTemporalReinforcementLearningApproachYexinLi(TheHongKongUniversityofScienceandTechnology);YuZheng(UrbanComputingBusinessUnit,JDFinance);QiangYang(TheHongKongUniversityofScienceandTechnology)34.SimultaneousUrbanRegionFunctionDiscoveryandPopularityEstimationViaanInfiniteUrbanizationProcessModelBangZhang(CSIRO);LelinZhang(CSIRO);TingGuo(CSIRO);YangWang(CSIRO);FangChen(CSIRO)35.REST:AReferencebasedFrameworkforSpatiotemporalTrajectoryCompressionYanZhao(SchoolofComputerScienceandTechnology,SoochowUniversity);ShuoShang(KingAbdullahUniversityofScienceandTechnology);YuWang(TheChineseUniversityofHongKong);BolongZheng(SchoolofDataandComputer

  • Science,SunYatsenUniversity);QuocVietHungNguyen(GriffithUniversity);KaiZheng(BigDataResearchCenter,UniversityofElectronicScienceandTechnologyofChina)36.EfficientSimilarRegionSearchwithDeepMetricLearningYidingLiu(NanyangTechnologicalUniversity);KaiqiZhao(NanyangTechnologicalUniversity);GaoCong(NanyangTechnologicalUniversity)37.NodeSimilaritywithqGramsforRealWorldLabeledNetworksAlessioConte(UniversityofPisa);GaspareFerraro(UniversitdiPisa);RobertoGrossi(UniversitdiPisa);AndreaMarino(UniversitdiPisa);KunihikoSadakane(TheUniversityofTokyo);TakeakiUno(NationalInstituteofInformatics)38.LARC:LearningActivityRegularizedoverlappingCommunitiesacrossTimeAlexanderGorovits(UniversityatAlbanySUNY);EktaGujral(UniversityofCaliforniaRiverside);EvangelosPapalexakis(UniversityofCaliforniaRiverside);PetkoBogdanov(UniversityatAlbanySUNY)39.NetLSD:HearingtheShapeofaGraphAntonTsitsulin(HassoPlattnerInstitute);DavideMottin(HassoPlattnerInstitute);PanagiotisKarras(AarhusUniversity);AlexanderBronstein(IsraelInstituteofTechnology);EmmanuelMller(HassoPlattnerInstitute)40.OpinionDynamicswithVaryingSusceptibilitytoPersuasionRedietAbebe(CornellUniversity);JonKleinberg(CornellUniversity);DavidParkes(HarvardUniversity);CharalamposTsourkakis(BostonUniversity)41.FASTEN:FastSylvesterEquationSolverforGraphMiningBoxinDu(ArizonaStateUniversity);HanghangTong(ArizonaStateUniversity)42.NetworkConnectivityOptimization:FundamentalLimitsandEffectiveAlgorithmsChenChen(ArizonaStateUniversity);RuiyuePeng(TranslationalMRI);LeiYing(ArizonaStateUniversity);HanghangTong(ArizonaStateUniversity)43.UnlearnWhatYouHaveLearned:AdaptiveCrowdTeachingwithExponentiallyDecayedMemoryLearnersYaoZhou(ArizonaStateUniversity);ArunReddyNelakurthi(ArizonaStateUniversity);JingruiHe(ArizonaStateUniversity)44.CalibratedMultiTaskLearningFeipingNie(DepartmentofComputerScience,OPTIMAL,NorthwesternPolytechnicalUniversity);ZhanxuanHu(DepartmentofComputerScience,OPTIMAL,NorthwesternPolytechnicalUniversity);XuelongLi(OPTIMAL,XianInstituteofOpticsandPrecisionMechanics,ChineseAcademyofSciences)45.ModelingTaskRelationshipsinMultitaskLearningwithMultigateMixtureofExpertsJiaqiMa(UniversityofMichigan);ZheZhao(Google);XinyangYi(Google);JilinChen(Google);LichanHong(Google);EdChi(Google)46.ComplexObjectClassification:AMultiModalMultiInstanceMultiLabelDeepNetworkwithOptimalTransportYangYang(NanJinguniversity);YiFengWu(LAMDAGroup,NanjingUniversity);DeChuanZhan(NanjingUniversity);ZhiBinLiu(Tencent);YuanJiang(NanjingUniversity)47.FeedbackGuidedAnomalyDiscoveryviaOnlineOptimizationMdAmranSiddiqui(OregonStateUniversity);AlanFern(OregonStateUniversity);ThomasDietterich(OregonStateUniversity);RyanWright(Galois,Inc.);AlecTheriault(Galois,Inc.);DavidArcher(Galois,Inc.)

  • 48.LeveragingMetapathbasedContextforTopNrecommendationwithCoattentionmechanismBinbinHu(BeijingUniversityofPostsandTelecommunications);ChuanShi(BeijingUniversityofPostsandTelecommunications);XinZhao(SchoolofInformation,RenminUniversityofChina);PhilipS.Yu(UniversityofIllinoisatChicago)49.EfficientAttributeRecommendationwithProbabilisticGuaranteeChiWang(Microsoft);KaushikChakrabarti(Microsoft)50.RankingDistillation:LearningCompactRankingModelsWithHighPerformanceforRecommenderSystemJiaxiTang(SimonFraserUniversity);KeWang(SimonFraserUniversity)51.AlgorithmsforHiringandOutsourcingintheOnlineLaborMarketArisAnagnostopoulos(SapienzaUniversityofRome);CarlosCastillo(UniversitatPompeuFabra);AdrianoFazzone(SapienzaUniversityofRome);StefanoLeonardi(SapienzaUniversityofRome);EvimariaTerzi(BostonUniversity)52.MultiPointerCoAttentionNetworksforRecommendationYiTay(NanyangTechnologicalUniversity);AnhTuanLuu(I2r);SiuCheungHui(NanyangTechnologicalUniversity)53.MultiTypeItemsetEmbeddingforLearningBehaviorSuccessDahengWang(UniversityofNotreDame);MengJiang(UniversityofNotreDame);QingkaiZeng(UniversityofNotreDame);ZacharyEberhart(UniversityofNotreDame);NiteshChawla(UniversityofNotreDame)54.MultilabelLearningwithHighlyIncompleteDataviaCollaborativeEmbeddingGuansongPang(UniversityofTechnology,Sydney);LongbingCao(FacultyofIT,UniversityofTechnologySydney);LingChen(UniversityofTechnology,Sydney);HuanLiu(ArizonaStateUniversity)55.LearningRepresentationsofUltrahighdimensionalDataforRandomDistancebasedOutlierDetectionZeminLiu(ZhejiangUniversity);VincentW.Zheng(AdvancedDigitalSciencesCenter);ZhouZhao(ZhejiangUniversity);ZhaoLi(AlibabaGroup);HongxiaYang(AlibabaGroup);MinghuiWu(ZhejiangUniversity);JingYing(ZhejiangUniversity)56.InteractivePathsEmbeddingforSemanticProximitySearchonHeterogeneousGraphseminLiu(ZhejiangUniversity);VincentW.Zheng(AdvancedDigitalSciencesCenter);ZhouZhao(ZhejiangUniversity);ZhaoLi(AlibabaGroup);HongxiaYang(AlibabaGroup);MinghuiWu(ZhejiangUniversity);JingYing(ZhejiangUniversity)57.ConceptsBridges:UncoveringConceptualBridgesBasedonBiomedicalConceptEvolutionKishlayJha(StateUniversityofNewYorkatBuffalo);GuangxuXun(StateUniversityofNewYorkatBuffalo);YaqingWang(StateUniversityofNewYorkatBuffalo);VishrawasGopalakrishnan(StateUniversityofNewYorkatBuffalo);AidongZhang(StateUniversityofNewYorkatBuffalo)58.LocalLatentSpaceModelsforTopNRecommendationEvangeliaChristakopoulou(UniversityofMinnesota);GeorgeKarypis(UniversityofMinnesota)59.STAMP:ShortTermAttention/MemoryPriorityModelforSessionbasedRecommendationQiaoLiu(UniversityofScienceandTechnologyofChina);YifuZeng(UniversityofScienceandTechnologyofChina);RefuoeMokhosi(UniversityofScienceandTechnologyofChina);HaibinZhang(UniversityofScienceandTechnologyofChina)60.MultiUserMobileSequentialRecommendation:AnEfficientParallelComputingParadigmeyangYe(StonyBrookUniversity);LihaoZhang(StonyBrookUniversity);KeliXiao(StonyBrookUniversity);WenjunZhou(UniversityofTennesseeKnoxville);YongGe(UniversityofArizona);YuefanDeng(StonyBrookUniversity)

  • 61.TrajectorydrivenInfluentialBillboardPlacementPingZhang(WuhanUniversity);ZhifengBao(RMITUniversity);YuchenLi(SingaporeManagementUniversity);GuoliangLi(TsinghuaUniversity);YipengZhang(RMITUniversity);ZhiyongPeng(WuhanUniversity)62.OfflineEvaluationofRankingPolicieswithClickModelsShuaiLi(TheChineseUniversityofHongKong);YasinAbbasiYadkori(AdobeResearch);BranislavKveton(AdobeResearch);S.Muthukrishnan(RutgersUniversity);VishwaVinay(AdobeResearch);ZhengWen(AdobeResearch)63.xDeepFM:CombiningExplicitandImplicitFeatureInteractionsforRecommenderSystemsJianxunLian(UniversityofScienceandTechnologyofChina);XiaohuanZhou(BeijingUniversityofPostsandTelecommunications);FuzhengZhang(Microsoft);ZhongxiaChen(UniversityofScienceandTechnologyofChina);XingXie(Microsoft);GuangzhongSun(UniversityofScienceandTechnologyofChina)64.FindingSimilarExercisesinOnlineEducationSystemsQiLiu(UniversityofScienceandTechnologyofChina);ZaiHuang(UniversityofScienceandTechnologyofChina);ZhenyaHuang(UniversityofScienceandTechnologyofChina);ChuanrenLiu(DecisionSciencesandMISDepartment,DrexelUniversity);EnhongChen(UniversityofScienceandTechnologyofChina);YuSu(SchoolofComputerScienceandTechnology,AnhuiUniversity);GuopingHu(iFLYTEKResearch)65.ArbitraryOrderProximityPreservedNetworkEmbeddingZiweiZhang(TsinghuaUniversity);PengCui(TsinghuaUniversity);XiaoWang(TsinghuaUniversity);JianPei(SimonFraserUniversity);XuanrongYao(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)66.NetWalk:AFlexibleDeepEmbeddingApproachforAnomalyDetectioninDynamicNetworksWenchaoYu(UniversityofCalifornia,LosAngeles);WeiCheng(NECLabsAmerica);CharuAggarwal(IBM);KaiZhang(NEC);HaifengChen(NEC);WeiWang(UniversityofCalifornia,LosAngeles)67.HierarchicalTaxonomyAwareNetworkEmbeddingJianxinMa(TsinghuaUniversity);PengCui(TsinghuaUniversity);XiaoWang(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)68.DeepRecursiveNetworkEmbeddingwithRegularEquivalenceKeTu(TsinghuaUniversity);PengCui(TsinghuaUniversity);XiaoWang(TsinghuaUniversity);PhilipS.Yu(UniversityofIllinoisatChicago);WenwuZhu(TsinghuaUniversity)69.EmbeddingTemporalNetworkviaNeighborhoodFormationYuanZuo(BeihangUniversity);GuannanLiu(BeihangUniversity);HaoLin(BeihangUniversity);JiaGuo(BeihangUniversity);XiaoqianHu(BeihangUniversity);JunjieWu(BeihangUniversity)70.StablePredictionacrossUnknownEnvironmentsKunKuang(TsinghuaUniversity);PengCui(TsinghuaUniversity);SusanAthey(StanfordUniversity);RuoxuanXiong(StanfordUniversity);BoLi(TsinghuaUniversity)71.ATreatmentEnginebyPredictingNextPeriodPrescriptionsBoJin(DalianUniversityofTechnology);HaoyuYang(DalianUniversityofTechnology);LeileiSun(TsinghuaUniversity);ChuanrenLiu(DrexelUniversity);YueQu(DalianUniversityofTechnology);JianingTong(TongjiUniversity)72.TrainingBigRandomForestswithLittleResourcesFabianGieseke(UniversityofCopenhagen);ChristianIgel(UniversityofCopenhagen)73.R2SDH:RobustRotatedSupervisedDiscreteHashing

  • JieGui(RutgersUniversity);PingLi(RutgersUniversity)74.AdversarialDetectionwithModelInterpretationNinghaoLiu(TexasA&MUniversity);HongxiaYang(AlibabaGroup);XiaHu(TexasA&MUniversity)75.RiskPredictiononElectronicHealthcareRecordswithPriorMedicalKnowledgeFenglongMa(SUNYBuffalo);JingGao(SUNYBuffalo);QiulingSuo(SUNYBuffalo);QuanzengYou(MicrosoftAI&Research);JingZhou(EheathInc);AidongZhang(SUNYBuffalo)76.MultiviewAdversariallyLearnedInferenceforCrossdomainJointDistributionMatchingChangyingDu(InstituteofSoftware,ChineseAcademyofSciences);ChangdeDu(InstituteofAutomation,ChineseAcademyofSciences);XingyuXie(NanjingUniversityofAeronauticsandAstronautics);ChenZhang(Qihoo360SearchLab);HaoWang(Qihoo360SearchLab)77.LearningAdversarialNetworksforSemiSupervisedTextClassificationviaPolicyGradientYanLi(UniversityofMichigan);JiepingYe(UniversityofMichigan)78.ScalableActiveLearningbyApproximatedErrorReductionWeijieFu(HefeiUniversityofTechnology);MengWang(HefeiUniversityofTechnology);ShijieHao(HefeiUniversityofTechnology);XindongWu(UniversityofLouisianaatLafayette)79.LearningDynamicsofDecisionBoundarieswithoutAdditionalLabeledDataAtsutoshiKumagai(NTT);TomoharuIwata(NTT)80.TowardsMitigatingtheClassImbalanceProblemforPartialLabelLearningJingWang(SoutheastUniversity);MinLingZhang(SoutheastUniversity)81.TaxoGen:UnsupervisedTopicTaxonomyConstructionbyAdaptiveTermEmbeddingandClusteringChaoZhang(UniversityofIllinoisatUrbanaChampaign);FangboTao(Facebook);XiusiChen(UniversityofIllinoisatUrbanaChampaign);JiamingShen(UniversityofIllinoisatUrbanaChampaign);MengJiang(UniversityofNotreDame);BrianSadler(U.S.ArmyResearchLab);MichelleVanni(U.S.ArmyResearchLab);JiaweiHan(UniversityofIllinoisatUrbanaChampaign)82.DiscoveringNonRedundantKmeansClusteringsinOptimalSubspacesDominikMautz(LudwigMaximilianUniversityofMunich);WeiYe(LudwigMaximilianUniversityofMunich);ClaudiaPlant(UniversityofVienna);ChristianBhm(LudwigMaximilianUniversityofMunich)83.ScalablekMeansClusteringviaLightweightCoresetsOlivierBachem(ETHZurich);MarioLucic(Google);AndreasKrause(ETHZurich)84.TextTruth:AnUnsupervisedApproachtoDiscoverTrustworthyInformationfromMultiSourcedTextDataHengtongZhang(SUNYatBuffalo);YaliangLi(BaiduResearch);FenglongMa(SUNYBuffalo);JingGao(UniversityatBuffalo);LuSu(TheStateUniversityofNewYorkatBuffalo)85.TruePIE:DiscoveringReliablePatternsinPatternBasedInformationExtractionQiLi(UniversityofIllinoisatUrbanaChampaign);MengJiang(UniversityofNotreDame);XikunZhang(UniversityofIllinoisatUrbanaChampaign);MengQu(UniversityofIllinoisatUrbanaChampaign);TimothyHanratty(USArmyResearchLaboratory);JingGao(UniversityatBuffalo);JiaweiHan(UniversityofIllinoisatUrbanaChampaign)86.CountMin:OptimalEstimationandTightErrorBoundsusingEmpiricalErrorDistributionsDanielTing(TableauSoftware)

  • 87.MetricLearningfromProbabilisticLabelsMengdiHuai(StateUniversityofNewYorkatBuffalo);ChenglinMiao(StateUniversityofNewYorkatBuffalo);YaliangLi(BaiduResearchBigDataLab);QiulingSuo(StateUniversityofNewYorkatBuffalo);LuSu(StateUniversityofNewYorkatBuffalo);AidongZhang(StateUniversityofNewYorkatBuffalo)88.NewRobustMetricLearningModelUsingMaximumCorrentropyCriterionJieXu(UniversityofPittsburgh);LeiLuo(UniversityofPittsburgh);ChengDeng(XidianUniversity);HengHuang(UniversityofPittsburgh)89.AUnifiedApproachtoQuantifyingAlgorithmicUnfairness:MeasuringIndividual&GroupUnfairnessviaInequalityIndicesillSpeicher(MPISWS);HodaHeidari(ETHZurich);NinaGrgicHlaca(MPISWS);KrishnaP.Gummadi(MPISWS);AdishSingla(MPISWS);AdrianWeller(UniversityofCambridge);MuhammadBilalZafar(MPISWS)90.PCAbyDeterminantOptimizationhasnoSpuriousLocalOptimaRaphaelHauser(UniversityofOxford);ArminEftekhari(AlanTuringInstitute);HeinrichMatzinger(GeorgiaInstituteofTechnology)91.SpectralClusteringofLargescaleDatabyDirectlySolvingNormalizedCutXiaojunChen(ShenzhenUniversity);WeijunHong(ShenzhenUniversity);FeipingNie(NorthwesternPolytechnicalUniversity);DanHe(ShenzhenUniversity);MinYang(ChineseAcademyofSciences);JoshuaZ.Huang(ShenzhenUniversity)92.MultiviewClusteringviaAdaptivelyWeightedProcrustesFeipingNie(NorthwesternPolytechnicalUniversity);LaiTian(NorthwesternPolytechnicalUniversity);XuelongLi(CenterforOPTIMAL,Xi'anInstituteofOpticsandPrecisionMechanics,ChineseAcademyofSciences)93.ScalableSpectralClusteringUsingRandomBinningFeaturesLingfeiWu(IBM);PinYuChen(IBM);IanEnHsuYen(CMU);FangliXu(CollegeofWilliam&Mary);YinglongXia(HuaweiResearch);CharuAggarwal(IBM)94.ModelbasedClusteringofShortTextStreamsJianhuaYin(SchoolofComputerScienceandTechnology,ShandongUniversity);DarenChao(SchoolofComputerScienceandTechnology,ShandongUniversity);ZhongkunLiu(SchoolofComputerScienceandTechnology,ShandongUniversity);WeiZhang(ShanghaiKeyLaboratoryofTrustworthyComputing,EastChinaNormalUniversity);XiaohuiYu(SchoolofComputerScienceandTechnology,ShandongUniversity);JianyongWang(TsinghuaUniversity)95.MiSoSouP:MiningInterestingSubgroupswithSamplingandPseudodimensionMatteoRiondato(TwoSigmaInvestments,LP);FabioVandin(UniversityofPadova)96.DynamicEmbeddingsforUserProfilinginTwitterShangsongLiang(KingAbdullahUniversityofScienceandTechnology);XiangliangZhang(KingAbdullahUniversityofScienceandTechnology);ZhaochunRen(JD.com);EvangelosKanoulas(UniversityofAmsterdam)97.TINET:LearningInvariantNetworksviaKnowledgeTransferChenLuo(RiceUniversity);ZhengzhangChen(NECLaboratoriesAmerica);LuAnTang(NECLaboratoriesAmerica);AnshumaliShrivastava(RiceUniversity);ZhichunLi(NECLaboratoriesAmerica);HaifengChen(NECLaboratoriesAmerica);JiepingYe(UniversityofMichigan)98.CanWhoEditsWhatPredictEditSurvival

  • AliBatuhanYardm(BilkentUniversity);VictorKristof(EcolePolytechniqueFdraledeLausanne);LucasMaystre(EcolePolytechniqueFdraledeLausanne);MatthiasGrossglauser(EcolePolytechniqueFdraledeLausanne)99.AnEfficientTwoLayerMechanismforPrivacyPreservingTruthDiscoveryYaliangLi(BaiduResearch);ChenglinMiao(SUNYBuffalo);LuSu(SUNYBuffalo);JingGao(SUNYBuffalo);QiLi(UniversityofIllinoisatUrbanaChampaign);BolinDing(Microsoft);ZhanQin(SUNYBuffalo);KuiRen(SUNYBuffalo)100.GeneralizedScoreFunctionsforCausalDiscoveryBiweiHuang(CarnegieMellonUniversity);KunZhang(CarnegieMellonUniversity);YizhuLin(CarnegieMellonUniversity);BernhardSchlkopf(MaxPlanckInstituteforIntelligentSystems);ClarkGlymour(CarnegieMellonUniversity)101.RVQA:LearningVisualRelationFactswithSemanticAttentionforVisualQuestionAnsweringPanLu(TsinghuaUniversity);LeiJi(Microsoft);WeiZhang(EastChinaNormalUniversity);NanDuan(Microsoft);MingZhou(Microsoft);JianyongWang(TsinghuaUniversity)102.LearningandInterpretingComplexDistributionsinEmpiricalDataChengxiZang(TsinghuaUniversity);PengCui(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)103.SequencesofSetsAustinBenson(CornellUniversity);RaviKumar(Google);AndrewTomkins(Google)104.DataDiff:Interpretable,ExecutableSummariesofChangesinDistributionsforDataWranglingCharlesSutton(TheUniversityofEdinburgh);TimothyHobson(TheAlanTuringInstitute);JamesGeddes(TheAlanTuringInstitute);RichCaruana(Microsoft)105.ConcentratedDifferentiallyPrivateGradientDescentwithAdaptiveperIterationPrivacyBudgetJaewooLee(UniversityofGeorgia);DanielKifer(ThePennsylvaniaStateUniversity)106.FAHES:ARobustDisguisedMissingValuesDetectorMouradOuzzani(QatarComputingResearchInstitute,HBKU);NanTang(QatarComputingResearchInstitute,HBKU);AhmedElmagarmid(QatarComputingResearchInstitute,HBKU);RaulCastroFernandez(CSAILMIT);AbdulhakimA.Qahtan(QatarComputingResearchInstitute,HBKU)107.HeavyGuardian:SeparateandGuardHotItemsinDataStreamsTongYang(PekingUniversity);JunzhiGong(PekingUniversity);HaoweiZhang(PekingUniversity);LeiZou(PekingUniversity);LeiShi(SKLCS,InstituteofSoftware,ChineseAcademyofSciences);XiaomingLi(PekingUniversity)108149.PostersforDeepLearningDay150170.PostersforHealthDay

  • TuesdayAugust21,2018DetailedProgram

    Tuesday7:00AM5:00PM,Registration,RegistrationDeskBoulevard(Level0)

    Tuesday9:30AM6:00PM,SponsorRoomICCCapitalSuiteRoom5(Level3)

    Tuesday9:30AM6:00PM,KDDExhibitHallICCCapitalHall(Level0)

    Tuesday 8:30AM 12:00PM, Hands On Tutorial: GOAI: Accelerating the Scalable Data Science Environment with GPUenabledPythonICCCapitalSuiteRoom2+3+4(Level3)

    Tuesday8:30AM12:00PM,HandsOnTutorial:MXNetwithfocusonNLPICCCapitalSuiteRoom14+15+16(Level3)

    Tuesday9:30AM12:30PM,IndiaChapterMeetingICCLondonSuiteRoom3Tuesday8:00AM9:30AM,ICCAuditorium(Level0)

    KeynoteSession1:DataforGood

    Speaker: Jeannette Wing, Avanessians Director of Data Science and Professor of Computer Science, Columbia

    University

    Abstract: I use the tagline Data for Good to state paronomastically how we as a community should be promoting data science, especially in training future generations of data scientists. First, we should use data science for the good of humanity and society. Data science should be used to better peoples lives. Data science should be used to improve relationships among people, organizations, and institutions. Data science, in collaboration with other disciplines, should be used to help tackle societal grand challenges such as climate change, education, energy, environment, healthcare, inequality, and social justice. Second, we should use data in a good manner. The acronym FATES suggests what good means. Fairness means that the models we build are used to make unbiased decisions or predictions. Accountability means to determine and assign responsibility to someone or to something for a judgment made by a machine. Transparency means being open and clear to the end user about how an outcome, e.g., a classification, a decision, or a prediction, is made. Ethics for data science means paying attention to both the ethical and privacypreserving collection and use of data as well as the ethical decisions that the automated systems we build will make. Safety and security (yes, two words for one S) means ensuring that the systems we build are safe (do no harm) and secure (guard against maliciousbehavior).

    Tuesday9:30AM10:00AMKDDCoffeeBreak,ICCCapitalHall(Level0)Tuesday10:00AM12:00PM

    ResearchTrackSessionRT1:DeepLearningI,ICCCapitalSuiteRoom8+11(Level3)SubspaceNetwork:DeepMultiTaskCensoredRegressionforModelingNeurodegenerativeDiseasesMengyingSun(MichiganStateUniversity);InciM.Baytas(MichiganStateUniversity);LiangZhan(UniversityofWisconsinStout);ZhangyangWang(TexasA&MUniversity);JiayuZhou(MichiganStateUniversity)VoxelDeconvolutionalNetworksfor3DBrainImageLabelingYongjunChen(WashingtonStateUniversity);HongyangGao(WashingtonStateUniversity);LeiCai(WashingtonStateUniversity);MinShi(WashingtonStateUniversity);DinggangShen(TheUniversityofNorthCarolinaatChapelHill);ShuiwangJi(WashingtonStateUniversity)

  • DeepVariationalNetworkEmbeddinginWassersteinSpaceDingyuanZhu(TsinghuaUniversity);PengCui(TsinghuaUniversity);DaixinWang(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)ExactandConsistentInterpretationforPiecewiseLinearNeuralNetworks:AClosedFormSolutionLingyangChu(SimonFraserUniversity);XiaHu(SimonFraserUniversity);JuhuaHu(SimonFraserUniversity);LanjunWang(HuaweiTechnologyCo.Ltd);JianPei(JD.comandSimonFraserUniversity)TowardsExplanationofDNNbasedPredictionwithGuidedFeatureInversionMengnanDu(TexasA&MUniversity);NinghaoLiu(TexasA&MUniversity);QingquanSong(TexasA&MUniversity);XiaHu(TexasA&MUniversity)

    AppliedDataScienceTrackSessionADS1:CommerceandProfiling,ICCCapitalSuiteRoom7+12(Level3)Chair:SreenivasGollapudiIKnowYou'llBeBack:InterpretableNewUserClusteringandChurnPredictiononaMobileSocialApplicationYanhaoZhang(AlibabaGroup);PanPan(AlibabaGroup);YunZheng(AlibabaGroup);KangZhao(AlibabaGroup);YingyaZhang(AlibabaGroup);XiaofengRen(AlibabaGroup);RongJin(AlibabaGroup)PerceiveYourUsersinDepth:LearningUniversalUserRepresentationsfromMultipleEcommerceTasksYaboNi(AlibabaGroup);DanOu(AlibabaGroup);ShichenLiu(AlibabaGroup);XiangLi(AlibabaGroup);WenwuOu(AlibabaGroup);AnxiangZeng(AlibabaGroup);LuoSi(AlibabaGroup)EtailProductReturnPredictionviaHypergraphbasedLocalGraphCutJianboLi(ThreeBridgesCapital);JingruiHe(ArizonaStateUniversity);YadaZhu(IBMResearch)OpenTag:OpenAttributeValueExtractionfromProductProfilesGuinengZheng(UniversityofUtah);SubhabrataMukherjee(Amazon.com);XinLunaDong(Amazon.com);FeifeiLi(UniversityofUtah)LearningandTransferringIDsRepresentationinEcommerceKuiZhao(AlibabaGroup);YuechuanLi(AlibabaGroup);ZhaoqianShuai(AlibabaGroup);ChengYang(AlibabaGroup)

    ResearchTrackSessionRT2:ReinforcementLearning,ICCCapitalSuiteRoom9+10(Level3)EfficientLargeScaleFleetManagementviaMultiAgentDeepReinforcementLearningKaixiangLin(MichiganStateUniversity);RenyuZhao(AILabs,DidiChuxing);ZheXu(AILabs,DidiChuxing);JiayuZhou(MichiganStateUniversity)InvestorImitator:AFrameworkforTradingKnowledgeExtractionYiDing(NanjingUniversityofAeronauticsandAstronautics);WeiqingLiu(Microsoft);JiangBian(Microsoft);DaoqiangZhang(NanjingUniversityofAeronauticsandAstronautics);TieYanLiu(Microsoft)TranscribingContentfromStructuralImageswithSpotlightMechanismYuYin(UniversityofScienceandTechnologyofChina);ZhenyaHuang(UniversityofScienceandTechnologyofChina);EnhongChen(UniversityofScienceandTechnologyofChina);QiLiu(UniversityofScienceandTechnologyofChina);FuzhengZhang(Microsoft);XingXie(Microsoft);GuopingHu(iFLYTEKResearch)IntelliLight:aReinforcementLearningApproachforIntelligentTrafficLightControlHuaWei(ThePennsylvaniaStateUniversity);GuanjieZheng(ThePennsylvaniaStateUniversity);HuaxiuYao(ThePennsylvaniaStateUniversity);ZhenhuiLi(ThePennsylvaniaStateUniversity)

  • SupervisedReinforcementLearningwithRecurrentNeuralNetworkforDynamicTreatmentRecommendationLuWang(EastChinaNormalUniversity);WeiZhang(EastChinaNormalUniversity);XiaofengHe(EastChinaNormalUniversity);HongyuanZha(GeorgiaInstituteofTechnology)

    ResearchTrackSessionRT3:Matrices,KernelsandSketches,ICCCapitalSuiteRoom6+13(Level3)ActiveFeatureAcquisitionwithSupervisedMatrixCompletionShengJunHuang(NUAA);MiaoXu(RIKENCenterforAIP);MingKunXie(NUAA);MasashiSugiyama(RIKENCenterforAIP);GangNiu(TheUniversityofTokyo);SongcanChen(NUAA)DiscreteRankingbasedMatrixFactorizationwithSelfPacedLearningYanZhang(UniversityofScienceandTechnologyofChina);HaoyuWang(UniversityofScienceandTechnologyofChina);DefuLian(UniversityofScienceandTechnologyofChina);IvorW.Tsang(UniversityofTechnology,Sydney);HongzhiYin(TheUniversityofQueensland);GuowuYang(UniversityofScienceandTechnologyofChina)SUSTain:ScalableUnsupervisedScoringforTensorsanditsApplicationtoPhenotypingIoakeimPerros(GeorgiaInstituteofTechnology);EvangelosPapalexakis(UniversityofCaliforniaRiverside);HaesunPark(GeorgiaInstituteofTechnology);RichardVuduc(GeorgiaInstituteofTechnology);XiaoweiYan(SutterHealth);ChristopherDefilippi(InovaHeartandVascularInstitute);WalterF.Stewart(SutterHealth);JimengSun(GeorgiaInstituteofTechnology)DisturbanceGrassmannKernelsforSubspaceBasedLearningJunyuanHong(UniversityofScienceandTechnologyofChina);HuanhuanChen(UniversityofScienceandTechnologyofChina);FengLin(UniversityofScienceandTechnologyofChina)OptimalDistributedSubmodularOptimizationviaSketchingMohammadhosseinBateni(Google);HosseinEsfandiari(HarvardUniversity);VahabMirrokni(Google)HighorderProximityPreservingInformationNetworkHashingDefuLian(UniversityofScienceandTechnologyofChina);KaiZheng(UniversityofScienceandTechnologyofChina);VincentW.Zheng(AdvancedDigitalSciencesCenter);YongGe(UniversityofArizona);LongbingCao(UniversityofTechnology,Sydney);IvorW.Tsang(UniversityofTechnology,Sydney);XingXie(Microsoft)

    AppliedDataScienceInvitedSessionAI1:CommerceandFinancialApplications,ICCAuditorium(Level0)ComputationalAdvertisingatScaleSujuRajan(Criteo)DataScienceatFlipkartAnIndianECommercecompanyMayurDatar(Flipkart)Humans,Jobs,andtheEconomy:TheFutureofFinanceintheAgeofBigDataJamesHodson(Cognism,Ltd.)

  • Tuesday12:00PM1:30PM,KDDLunchICCCapitalHall(Level0)

    Tuesday1:30PM5:30PM,HandsOnTutorial:ActivelearningandtransferlearningatscalewithRandPythonICCCapitalSuiteRoom2+3+4(Level3)

    Tuesday1:30PM5:30PM,HandsOnTutorial:MXNetwithfocusonNLPICCCapitalSuiteRoom14+15+16(Level3)

    Tuesday1:30PM4:30PM,ChinaChapterMeetingICCLondonSuiteRoom3

    Tuesday1:30PM5:00PM,KDDCupWorkshopICCCapitalSuiteRoom1(Level3)

    Tuesday1:30PM5:30PM,PosterBlitzSessionsICCAuditorium(Level0)

    Tuesday1:30PM3:30PM,PlenaryPanelICCCapitalSuiteRoom8+11(Level3)

    Tuesday1:30PM3:30PM

    ResearchTrackSessionRT4:TemporalandSpatialDataMiningI,ICCCapitalSuiteRoom7+12(Level3)DecoupledLearningforFactorialMarkedTemporalPointProcessesWeichangWu(ShanghaiJiaoTongUniversity);JunchiYan(ShanghaiJiaoTonglUniversity);XiaokangYang(ShanghaiJiaoTongUniversity);HongyuanZha(GeorgiaInstituteofTechnology)ADualMarkovChainTopicModelforDynamicEnvironmentsAyanAcharya(CognitiveScaleInc.);JoydeepGhosh(TheUniversityofTexasatAustin);MingyuanZhou(TheUniversityofTexasatAustin)StockAssIstant:AStockAIAssistantforReliabilityModelingofStockCommentsChenZhang(360SearchLab);HaoWang(360SearchLab);ChangyingDu(360SearchLab);YijunWang(LineZoneData);CanChen(LineZoneData);HongzhiYin(TheUniversityofQueensland)YouAreHowYouDrive:PeerandTemporalAwareRepresentationLearningforDrivingBehaviorAnalysisPengyangWang(MissouriUniversityofScienceandTechnology);YanjieFu(MissouriUniversityofScienceandTechnology);JiaweiZhang(FloridaStateUniversity);PengfeiWang(CNIC,ChineseAcademyofSciences);YuZheng(UrbanComputingBusinessUnit,JDFinance);CharuAggarwal(IBM)ExploringtheUrbanRegionofInterestthroughtheAnalysisofOnlineMapSearchQueriesYingSun(ICT,CAS);HengshuZhu(BaiduInc.);FuzhenZhuang(InstituteofComputingTechnology,ChineseAcademyofSciences);JingjingGu(NUAA,Nanjing);QingHe(InstituteofComputingTechnology,CAS)

    Applied Data Science Track Session ADS2: Planning and Forecasting in Finance and Commerce, ICC Capital Suite Room 9+10(Level3)Chair:DunjaMladenicLargeScaleOrderDispatchinOnDemandRideHailingPlatforms:ALearningandPlanningApproachZheXu(DidiChuxing);ZhixinLi(DidiChuxing);QingwenGuan(DidiChuxing);DingshuiZhang(DidiChuxing);QiangLi(DidiChuxing);JunxiaoNan(DidiChuxing);ChunyangLiu(DidiChuxing);WeiBian(DidiChuxing);JiepingYe(DidiChuxing)CustomizedRegressionModelforAirbnbDynamicPricingPengYe(AirbnbInc.);JulianQian(AntFinancial);JieyingChen(AirbnbInc.);ChenhungWu(AirbnbInc.);YitongZhou(AirbnbInc);SpencerDeMars(ImpiraInc.);FrankYang(AirbnbInc.);LiZhang(AirbnbInc.)

  • AudienceSizeForecastingYemingShi(Dstillery);ClaudiaPerlich(Dstillery);RodHook(Dstillery);WickusMartin(Dstillery);MelindaHanWilliams(Dstillery);JustinMoynihan(Dstillery);PatrickMcCarthy(Dstillery);PeterLenz(Dstillery);RekaDanielWeiner(Dstillery);RogerCost(Dstillery)OptimizationofaSSPsHeaderBiddingStrategyusingThompsonSamplingGrgoireJauvion(AlephD);NicolasGrislain(AlephD);PascalDkengneSielenou(IMT);AurlienGarivier(IMT);SbastienGerchinovitz(IMT)ApplyingtheDeltaMethodinMetricAnalyticsAlexDeng(MicrosoftCorporation);UlfKnoblich(MicrosoftCorporation);JiannanLu(MicrosoftCorporation)

    ResearchTrackSessionRT5:GraphandSocialNetworkI,ICCCapitalSuiteRoom6+13(Level3)GraphClassificationusingStructuralAttentionJohnBoazLee(WPI);RyanRossi(AdobeResearch);XiangnanKong(WPI)SpotLight:DetectingAnomaliesinStreamingGraphsDhivyaEswaran(CarnegieMellonUniversity);ChristosFaloutsos(CarnegieMellonUniversity);SudiptoGuha(Amazon);NinaMishra(Amazon)AdversarialAttacksonNeuralNetworksforGraphDataDanielZgner(TechnicalUniversityofMunich);AmirAkbarnejad(TechnicalUniversityofMunich);StephanGnnemann(TechnicalUniversityofMunich)MultiRoundInfluenceMaximizationLichaoSun(UniversityofIllinoisatChicago);WeiranHuang(TsinghuaUniversity);PhilipYu(UniversityofIllinoisatChicago);WeiChen(Microsoft)EvoGraph:AnEffectiveandEfficientGraphUpscalingMethodforPreservingGraphPropertiesHimchanPark(DGIST);MinSooKim(DGIST)

    Tuesday3:30PM4:00PM,KDDCoffeeBreak,ICCCapitalHall(Level0)Tuesday4:00PM6:00PM

    ResearchTrackSessionRT6:DeepLearningII,ICCCapitalSuiteRoom8+11(Level3)XiaoIceBand:AMelodyandArrangementGenerationFrameworkforPopMusicHongyuanZhu(USTC);QiLiu(USTC);NicholasJingYuan(Microsoft);ChuanQin(USTC);JiaweiLi(SoochowUniversity);KunZhang(USTC);GuangZhou(Microsoft);FuruWei(Microsoft);YuanchunXu(Microsoft);EnhongChen(USTC)CostEffectiveTrainingofDeepCNNswithActiveModelAdaptationShengJunHuang(NUAA);JiaWeiZhao(NUAA);ZhaoYangLiu(NUAA)SmoothedDilatedConvolutionsforImprovedDensePredictionZhengyangWang(WashingtonStateUniversity);ShuiwangJi(WashingtonStateUniversity)LearningDeepNetworkRepresentationswithAdversariallyRegularizedAutoencodersWenchaoYu(UniversityofCalifornia,LosAngeles);ChengZheng(UniversityofCalifornia,LosAngeles);WeiCheng(NECLabsAmerica);CharuAggarwal(IBM);DongjinSong(NEC);BoZong(NEC);HaifengChen(NEC);WeiWang(UniversityofCalifornia,LosAngeles)

  • DeeprthRootRankSupervisedJointBinaryEmbeddingforMultivariateTimeSeriesRetrievalDongjinSong(NECLabsAmerica);NingXia(NECLabsAmerica);WeiCheng(NECLabsAmerica);HaifengChen(NECLabsAmerica);DachengTao(TheUniversityofSydney)

    ResearchTrackSessionRT7:TemporalandSpatialDataMiningII,ICCCapitalSuiteRoom7+12(Level3)GeographicalHiddenMarkovTreeforFloodExtentMappingMiaoXie(UniversityofAlabama);ZheJiang(UniversityofAlabama);ArpanManSainju(UniversityofAlabama)DynamicBikeReposition:ASpatioTemporalReinforcementLearningApproachYexinLi(TheHongKongUniversityofScienceandTechnology);YuZheng(UrbanComputingBusinessUnit,JDFinance);QiangYang(TheHongKongUniversityofScienceandTechnology)SimultaneousUrbanRegionFunctionDiscoveryandPopularityEstimationViaanInfiniteUrbanizationProcessModelBangZhang(CSIRO);LelinZhang(CSIRO);TingGuo(CSIRO);YangWang(CSIRO);FangChen(CSIRO)REST:AReferencebasedFrameworkforSpatiotemporalTrajectoryCompressionYanZhao(SchoolofComputerScienceandTechnology,SoochowUniversity);ShuoShang(KingAbdullahUniversityofScienceandTechnology);YuWang(TheChineseUniversityofHongKong);BolongZheng(SchoolofDataandComputerScience,SunYatsenUniversity);QuocVietHungNguyen(GriffithUniversity);KaiZheng(BigDataResearchCenter,UniversityofElectronicScienceandTechnologyofChina)EfficientSimilarRegionSearchwithDeepMetricLearningYidingLiu(NanyangTechnologicalUniversity);KaiqiZhao(NanyangTechnologicalUniversity);GaoCong(NanyangTechnologicalUniversity)

    Applied Data Science Track Session ADS3: Ranking and Making Recommendations, ICC Capital Suite Room 9+10 (Level 3)Chair:YanaVolkovichOnlineParameterSelectionforWebbasedRankingProblemsDeepakAgarwal(LinkedInCorporation);KinjalBasu(LinkedInCorporation);SouvikGhosh(LinkedInCorporation);YingXuan(LinkedInCorporation);YangYang(LinkedInCorporation);LiangZhang(LinkedInCorporation)NearRealtimeOptimizationofActivitybasedNotificationsYanGao(LinkedInCorporation);ViralGupta(LinkedInCorporation);JinyunYan(LinkedInCorporation);ChangjiShi(LinkedInCorporation);ZhongenTao(LinkedInCorporation);PJXiao(LinkedInCorporation);CurtisWang(LinkedInCorporation);ShipengYu(LinkedInCorporation);RomerRosales(LinkedInCorporation);AjithMuralidharan(LinkedInCorporation);ShaunakChatterjee(LinkedInCorporation)RealtimePersonalizationusingEmbeddingsforSearchRankingatAirbnbMihajloGrbovic(Airbnb,Inc.);HaibinCheng(Airbnb,Inc.)GraphConvolutionalNeuralNetworksforWebScaleRecommenderSystemsRexYing(StanfordUniversity&Pinterest);RuiningHe(Pinterest);KaifengChen(Pinterest&StanfordUniversity);PongEksombatchai(Pinterest);WilliamL.Hamilton(StanfordUniversity);JureLeskovec(StanfordUniversity&Pinterest)Q&R:ATwoStageApproachtowardInteractiveRecommendationKonstantinaChristakopoulou(UniversityofMinnesota);AlexBeutel(GoogleInc);RuiLi(GoogleInc);SagarJain(GoogleInc);EdH.Chi(GoogleInc)

  • ResearchTrackSessionRT8:GraphandSocialNetworkII,ICCCapitalSuiteRoom6+13(Level3)NodeSimilaritywithqGramsforRealWorldLabeledNetworksAlessioConte(UniversityofPisa);GaspareFerraro(UniversitdiPisa);RobertoGrossi(UniversitdiPisa);AndreaMarino(UniversitdiPisa);KunihikoSadakane(TheUniversityofTokyo);TakeakiUno(NationalInstituteofInformatics)LARC:LearningActivityRegularizedoverlappingCommunitiesacrossTimeAlexanderGorovits(UniversityatAlbanySUNY);EktaGujral(UniversityofCaliforniaRiverside);EvangelosPapalexakis(UniversityofCaliforniaRiverside);PetkoBogdanov(UniversityatAlbanySUNY)NetLSD:HearingtheShapeofaGraphAntonTsitsulin(HassoPlattnerInstitute);DavideMottin(HassoPlattnerInstitute);PanagiotisKarras(AarhusUniversity);AlexanderBronstein(IsraelInstituteofTechnology);EmmanuelMller(HassoPlattnerInstitute)OpinionDynamicswithVaryingSusceptibilitytoPersuasionRedietAbebe(CornellUniversity);JonKleinberg(CornellUniversity);DavidParkes(HarvardUniversity);CharalamposTsourkakis(BostonUniversity)FASTEN:FastSylvesterEquationSolverforGraphMiningBoxinDu(ArizonaStateUniversity);HanghangTong(ArizonaStateUniversity)NetworkConnectivityOptimization:FundamentalLimitsandEffectiveAlgorithmsChenChen(ArizonaStateUniversity);RuiyuePeng(TranslationalMRI);LeiYing(ArizonaStateUniversity);HanghangTong(ArizonaStateUniversity)

    DissertationAwardICCCapitalSuiteRoom17(Level3)

    Tuesday4:30PM5:30PM,KDDTransferMeeting,ICCCapitalLounge5+6(Level2)Tuesday6:00PM7:00PM,ICCAuditorium(Level0)

    KeynoteSession2:DataScienceforFinancialApplications

    Speaker: David Hand, Senior Research Investigator, Faculty of Natural Sciences, Department of Mathematics, Imperial

    College,London

    Abstract: Financial applications of data science provide a perfect illustration of the power of the shift from subjective decisionmaking to data and evidencedriven decision making. In the space of some fifty years, an entire sector of industry has been totally revolutionised. Such applications come in three broad areas: actuarial and insurance, consumer banking,andinvestmentbanking.

    Actuarial and insurance work was one of the earliest adopters of data science ideas, dating from long before the term had been coined, and even before the computer had been invented. But these areas have fallen behind the latest advances in data science technology which means there is considerable potential for applying modern data analytic ideas.

    Consumer banking has been described as one the first and major success stories of the data revolution. Dating from the 1960s, when the first credit cards were launched, techniques for analysing the massive data sets of consumer financial transactions have driven much of the development of data mining and data science ideas. But new model types, and newsourcesofdata,areleadingtoarichopportunityforsignificantdevelopments.

    In investment banking the efficient market hypothesis of classic economics says that it is impossible to predict the financial markets. But this is false though very nearly true. That means that there is an opportunity to use advanced dataanalyticmethodstoexploitthetinygapbetweenconventionaltheoryandwhatactuallyhappens.

  • Other data science issues, such as data quality, ethics, and security, along with the need to understand the limitations of models,becomeparticularlypointedinthecontextoffinancialapplications.

    Tuesday7:00PM9:30PM,PosterReception:Group2(AppliedDataScienceTrack,ResearchTrackPosters,andKDDCup),ICCCapitalHall(Level0)1.IsolationKernelandItsEffectonSVM

    KaiMingTing(FederationUniversityAustralia);YueZhu(NanjingUniversity);ZhiHuaZhou(NanjingUniversity)

    2.RobustBayesianKernelMachineviaSteinVariationalGradientDescentforBigData

    Khanh Nguyen (Deakin University); Trung Le (PRaDA, Deakin University, Australia); Tu Dinh Nguyen (Deakin University);

    DinhPhung(DeakinUniversity);Geo?reyWebb(MonashUniversity)

    3.SketchedFollowTheRegularizedLeaderforOnlineFactorizationMachine

    Luo Luo (Shanghai Jiao Tong University); Wenpeng Zhang (Tsinghua University); Zhihua Zhang (Peking University);

    WenwuZhu(TsinghuaUniversity);TongZhang(TencentAILab);JianPei(SimonFraserUniversity)

    4.AnEmpiricalEvaluationofSketchingforNumericalLinearAlgebra

    YogeshDahiya(IITKanpur);DimitrisKonomis(CMU);DavidP.Woodruff(CarnegieMellonUniversity)

    5.LargeScaleLearnableGraphConvolutionalNetworks

    Hongyang Gao (Washington State University); Zhengyang Wang (Washington State University); Shuiwang Ji (Washington

    StateUniversity)

    6.ActiveOpinionMaximizationinSocialNetworks

    Xinyue Liu (Worcester Polytechnic Institute); Xiangnan Kong (Worcester Polytechnic Institute); Philip Yu (University of

    IllinoisatChicago)

    7.Quantifyingandminimizingriskofconflictinsocialnetworks

    Xi Chen (Dept. of Electronics and Information Systems, IDLab, Ghent University); Jefrey Lijffijt (Dept. of Electronics and

    Information Systems, IDLab, Ghent University); Tijl De Bie (Dept. of Electronics and Information Systems, IDLab, Ghent

    University)

    8.D2K:ScalableCommunityDetectioninMassiveNetworksviaSmallDiameterkPlexes

    Alessio Conte (National Institute of Informatics, Japan); Tiziano De Matteis (University of Pisa); Daniele De Sensi

    (University of Pisa); Roberto Grossi (Universita' di Pisa); Andrea Marino (Universita' di Pisa); Luca Versari (Universita' di

    Pisa)

    9.ButterflyCountinginBipartiteNetworks

    SeyedVahid SaneiMehri (Iowa State University); Ahmet Erdem Sariyuce (University at Buffalo); Srikanta Tirthapura

    (IowaStateUniversity)

    10.ApproximatingtheSpectrumofaGraph

    David CohenSteiner (INRIA); Weihao Kong (Stanford University); Christian Sohler (TU Dortmund); Gregory Valiant

    (StanfordUniversity)

  • 11.WhenSentimentAnalysisMeetsSocialNetwork:AHolisticUserBehaviorModelinginOpinionatedData

    LinGong(UniversityofVirginia);HongningWang(UniversityofVirginia)

    12.Latentvariabletimevaryingnetworkinference

    Federico Tomasi (DIBRIS Universita degli studi di Genova); Veronica Tozzo (DIBRIS Universita degli studi di Genova);

    SaverioSalzo(IIT);AlessandroVerri(DIBRISUniversitadeglistudidiGenova)

    13.MultilevelWaveletDecompositionNetworkforInterpretableTimeSeriesAnalysis

    Jingyuan Wang (Beihang University); Ze Wang (Beihang University); Jianfeng Li (Beihang University); Junjie Wu (Beihang

    University)

    14.EnhancingPredictiveModelingofNestedSpatialDatathroughGroupLevelFeatureDisaggregation

    Boyang Liu (Michigan State University); PangNing Tan (Michigan State University); Jiayu Zhou (Michigan State

    University)

    15.DeepAdversarialLearningforMultiModalityMissingDataCompletion

    Lei Cai (Washington State University); Zhengyang Wang (Washington State University); Hongyang Gao (Washington State

    University);DinggangShen(TheUniversityofNorthCarolinaatChapelHill);ShuiwangJi(WashingtonStateUniversity)

    16.DualMemoryNeuralComputerforAsynchronousTwoviewSequentialLearning

    HungLe(DeakinUniversity);TruyenTran(DeakinUniversity);SvethaVenkatesh(DeakinUniversity)

    17.ParsingtoPrograms:AFrameworkforSituatedQA

    MrinmayaSachan(CarnegieMellonUniversity);EricP.Xing(CarnegieMellonUniversity)

    18.QuantifyingUncertaintyinDiscreteContinuousandSkewedDatawithBayesianDeepLearning

    Thomas Vandal (Northeastern University); Evan Kodra (risQ Inc.); Jennifer Dy (Northeastern University); Sangram

    Ganguly (BAERI and NASA Ames Research Center); Ramakrishna Nemani (NASA); Auroop Ganguly (Northeastern

    University)

    19.CoupledContextModelingforDeepChitChat:TowardsConversationsbetweenHumanandComputer

    RuiYan(PekingUniversity);DongyanZhao(PekingUniversity)

    20.MultiCastAttentionNetworks

    Yi Tay (Nanyang Technological University); Anh Tuan Luu (Institute for Infocomm Research, Singapore); Siu Cheung Hui

    (NanyangTechnologicalUniversity)

    21.RAIM:RecurrentAttentiveandIntensiveModelingofMultimodalContinuousPatientMonitoringData

    Yanbo Xu (Georgia Institute of Technology); Siddharth Biswal (Georgia Institute of Technology); Shriprasad Deshpande

    (Emory University School of Medicine); Kevin Maher (Emory University School of Medicine); Jimeng Sun (Georgia

    InstituteofTechnology)

    22.DeepCensoredLearningoftheWinningPriceintheRealTimeBidding

    Wush ChiHsuan Wu (National Taiwan University); MiYen Yeh (Institute of Information Science, Academia Sinica);

    MingSyanChen(NationalTaiwanUniversity)

  • 23.DeepInf:SocialInfluencePredictionwithDeepLearning

    Jiezhong Qiu (Tsinghua University); Jian Tang (HEC Montreal & Montreal Institute for Learning Algorithms (MILA)); Hao

    Ma(Microsoft);YuxiaoDong(Microsoft);KuansanWang(Microsoft);JieTang(TsinghuaUniversity)

    24.DeepMultiOutputForecasting:LearningtoAccuratelyPredictBloodGlucoseTrajectories

    Ian Fox (University of Michigan); Lynn Ang (Department of Internal Medicine, Division of Metabolism, Endocrinology and

    Diabetes, University of Michigan); Mamta Jaiswal (Department of Internal Medicine, Division of Metabolism,

    Endocrinology and Diabetes, University of Michigan); Rodica PopBusui (Department of Internal Medicine, Division of

    Metabolism,EndocrinologyandDiabetes,UniversityofMichigan);JennaWiens(UniversityofMichigan)

    25.NotJustPrivacy:ImprovingPerformanceofPrivateDeepLearninginMobileCloud

    Ji Wang (National University of Defense Technology); Jianguo Zhang (University of Illinois at Chicago); Weidong Bao

    (National University of Defense Technology); Xiaomin Zhu (National University of Defense Technology); Bokai Cao

    (UniversityofIllinoisatChicago);PhilipS.Yu(UniversityofIllinoisatChicago)

    26.SPARC:SelfPacedNetworkRepresentationforFewShotRareCategoryCharacterization

    Dawei Zhou (Arizona State University); Jingrui He (Arizona State University); Hongxia Yang (Alibaba Group); Wei Fan

    (TencentMedicalAILab)

    27.PME:ProjectedMetricEmbeddingonHeterogeneousNetworksforLinkPrediction

    Hongxu Chen (The University of Queensland); Hongzhi Yin (The University of Queensland); Weiqing Wang (The

    University of Queensland); Hao Wang (Qihoo 360 Inc); Quoc Viet Hung Nguyen (Griffith University); Xue Li (The

    UniversityofQueensland)

    28.ContenttoNode:SelftranslationNetworkEmbedding

    JieLiu(NankaiUniversity);ZhichengHe(NankaiUniversity);LaiWei(NankaiUniversity);YalouHuang(NankaiUniversity)

    29.OnInterpretationofNetworkEmbeddingviaTaxonomyInduction

    Ninghao Liu (Texas A&M University); Xiao Huang (Texas A&M University); Jundong Li (Arizona State University); Xia Hu

    (TexasA&MUniversity)

    30.EasingEmbeddingLearningbyComprehensiveTranscriptionofHeterogeneousInformationNetworks

    Yu Shi (University of Illinois at UrbanaChampaign); Qi Zhu (University of Illinois UrbanaChampaign); Fang Guo

    (University of Illinois UrbanaChampaign); Chao Zhang (University of Illinois UrbanaChampaign); Jiawei Han (University

    ofIllinoisatUrbanaChampaign)

    31.RecurrentBinaryEmbeddingforGPUEnabledExhaustiveRetrievalfromBillionScaleSemanticVectors

    YingShan(Microsoft);JianJiao(Microsoft);JieZhu(Microsoft);JcMao(Microsoft)

    32.LearningStructuralNodeEmbeddingsviaDiffusionWavelets

    Claire Donnat (Stanford University); Marinka Zitnik (Stanford University); David Hallac (Stanford University); Jure

    Leskovec(StanfordUniversity)

    33.MultitaskRepresentationLearningforTravelTimeEstimation

    Yaguang Li (University of Southern California); Kun Fu (DiDi AI Labs); Zheng Wang (DiDi AI Labs); Cyrus Shahabi

    (UniversityofSouthernCalifornia);JiepingYe(DiDiAILabs);YanLiu(UniversityofSouthernCalifornia)

  • 34.SelfPacedNetworkEmbedding

    HongchangGao(UniversityofPittsburgh);HengHuang(UniversityofPittsburgh)

    35.NeuralMemoryStreamingRecommenderNetworkswithAdversarialTraining

    Qinyong Wang (The University of Queensland); Hongzhi Yin (The University of Queensland); Zhiting Hu (Language

    Technologies Institute, Carnegie Mellon University); Defu Lian (School of Computer Science and Engineering, University

    ofElectronicScienceandTechnologyofChina);HaoWang(360SearchLab);ZiHuang(TheUniversityofQueensland)

    36.LearningfromHistoryandPresent:NextitemRecommendationviaDiscriminativelyExploitingUserBehavior

    Zhi Li (University of Science and Technology of China); Hongke Zhao (University of Science and Technology of China); Qi

    Liu (University of Science and Technology of China); Zhenya Huang (University of Science and Technology of China); Tao

    Mei(JD.com);EnhongChen(UniversityofScienceandTechnologyofChina)

    37.ContextawareAcademicCollaboratorRecommendation

    Zheng Liu (The Hong Kong University of Science and Technology); Xing Xie (Microsoft); Lei Chen (The Hong Kong

    UniversityofScienceandTechnology)

    38.RouteRecommendationsforIdleTaxiDrivers:FindMetheShortestRoutetoaCustomer!

    NandaniGarg(IITMadras);SayanRanu(IITDelhi)

    39.ExplanationMining:PostHocInterpretabilityofLatentFactorModelsforRecommendationSystems

    GeorginaPeake(Channel4Television);JunWang(ComputerScience,UniversityCollegeLondon)

    40.MultiLabelInferenceforCrowdsourcing

    JingZhang(NanjingUniversityofScienceandTechnology);XindongWu(UniversityofLouisianaatLafayette)

    41.ExtremelyFastDecisionTree

    ChaitanyaManapragada(MonashUniversity);GeoffreyWebb(MonashUniversity);MahsaSalehi(MonashUniversity)

    42.ClassifyingandCountingwithRecurrentContexts

    Denis Reis (Universidade de So Paulo), Andr Maletzke (Universidade de So Paulo), Diego F. Silva (Universidade

    FederaldeSoCarlos),GustavoE.A.P.A.Batista(UniversidadedeSoPaulo)

    43.PredictiontimeEfficientClassificationUsingComputationalDependenciesinFeatureGeneration

    Liang Zhao (George Mason University); Amir AlipourFanid (George Mason University); Martin Slawski (George Mason

    University);KaiZeng(GeorgeMasonUniversity)

    44.EfficientMiningoftheMostSignificantPatternswithPermutationTesting

    LeonardoPellegrina(UniversityofPadova);FabioVandin(UniversityofPadova)

    45.IdentifyingSourcesandSinksinthePresenceofMultipleAgentswithGaussianProcessVectorCalculation

    Adam Derek Cobb (University of Oxford); Richard Everett (University of Oxford); Andrew Markham (University of

    Oxford);StephenRoberts(UniversityofOxford)

    46.FairnessofExposureinRankings

  • AshudeepSingh(CornellUniversity);ThorstenJoachims(CornellUniversity)

    47.xStream:OutlierDetectioninFeatureEvolvingDataStreams

    Emaad Ahmed Manzoor (Carnegie Mellon University); Hemank Lamba (Carnegie Mellon University); Leman Akoglu

    (CarnegieMellonUniversity)

    48.HiExpan:TaskGuidedTaxonomyConstructionbyHierarchicalTreeExpansion

    Jiaming Shen (University of Illinois at UrbanaChampaign); Zeqiu Wu (University of Illinois at UrbanaChampaign);

    Dongming Lei (University of Illinois at UrbanaChampaign); Chao Zhang (University of Illinois at UrbanaChampaign);

    Xiang Ren (University of Southern California); Michelle T. Vanni (U.S. Army Research Laboratory); Brain M. Sadler (U.S.

    ArmyResearchLaboratory);JiaweiHan(UniversityofIllinoisatUrbanaChampaign)

    49.AccurateandFastAsymmetricLocalitySensitiveHashingSchemeforMaximumInnerProductSearch

    Qiang Huang (Sun YatSen University); Guihong Ma (Sun YatSen University); Jianlin Feng (Sun YatSen University); Qiong

    Fang(SouthChinaUniversityofTechnology);AnthonyK.H.Tung(NationalUniversityofSingapore)

    50.VariableSelectionandTaskGroupingforMultiTaskLearning

    JunyongJeong(POSSTECH);ChiHyuckJun(POSTECH)

    51.AutomatedLocalRegressionDiscontinuityDesignDiscovery

    William Herlands (Carnegie Mellon University); Edward McFowland Iii (University of Minnesota); Andrew Wilson (Cornell

    University);DanielNeill(CarnegieMellonUniversity)

    52.AcceleratedEquivalenceStructureExtractionviaPairwiseIncrementalSearch

    Seiya Satoh (National Institute of Advanced Industrial Science and Technology); Yoshinobu Takahashi (The University of

    ElectroCommunications);HiroshiYamakawa(DWANGOCo.,Ltd.)

    53.DILOF:EffectiveandMemoryEfficientLocalOutlierDetectioninDataStreams

    Gyoung S. Na (Pohang University of Science and Technology (POSTECH)); Donghyun Kim (Pohang University of Science

    andTechnology(POSTECH),);HwanjoYu(PohangUniversityofScienceandTechnology(POSTECH))

    54.DemandAwareChargerPlanningforElectricVehicleSharing

    Bowen Du (SKLSDE Lab and BDBC, Beihang University); Yongxin Tong (SKLSDE Lab and BDBC, Beihang University); Zimu

    Zhou (Laboratory TIK, ETH Zurich); Qian Tao (SKLSDE Lab and BDBC, Beihang University); Wenjun Zhou (Department of

    BAS,UniversityofTennessee)

    55.Optimizingclusterbasedrandomizedexperimentsundermonotonicity

    Jean PougetAbadie (Harvard University); David Parkes (Harvard University); Vahab Mirrokni (Google); Edoardo M.

    Airoldi(HarvardUniversity)

    56.LearningCredibleModels

    Jiaxuan Wang (University of Michigan); Jeeheh Oh (University of Michigan); Haozhu Wang (University of Michigan);

    JennaWiens(UniversityofMichigan)

    57.ADistributedQuasiNewtonAlgorithmforEmpiricalRiskMinimizationwithNonsmoothRegularization

  • ChingPei Lee (University of WisconsinMadison); Cong Han Lim (University of WisconsinMadison); Stephen Wright

    (UniversityofWisconsinMadison)

    58.AnIterativeGlobalStructureAssistedLabeledNetworkAligner

    AbdurrahmanYaar(GeorgiaInstituteofTechnology)

    59.BagMinHashMinwiseHashingAlgorithmforWeightedSets

    OtmarErtl(Dynatrace)

    60.StabilizingReinforcementLearninginDynamicEnvironmentwithApplicationtoOnlineRecommendation

    ShiYong Chen (Nanjing University); Yang Yu (Nanjing University); Qing Da (Alibaba Group); Jun Tan (Alibaba Group);

    HaiKuanHuang(AlibabaGroup);HaiHongTang(AlibabaGroup)

    61.OnlineAdaptiveAsymmetricActiveLearningforBudgetedImbalancedData

    Yifan Zhang (South China University of Technology); Peilin Zhao (South China University of Technology); Jiezhang Cao

    (South China University of Technology); Wenye Ma (South China University of Technology); Junzhou Huang (University of

    Texas at Arlington); Qingyao Wu (South China University of Technology); Mingkui Tan (South China University of

    Technology)

    62.TransferLearningviaFeatureIsomorphismDiscovery

    Shimin Di (The Hong Kong University of Science and Technology); Jingshu Peng (The Hong Kong University of Science and

    Technology); Yanyan Shen (Shanghai Jiao Tong University); Lei Chen (The Hong Kong University of Science and

    Technology)

    63.SemiSupervisedGenerativeAdversarialNetworkforGeneExpressionInference

    Kamran Ghasedi (University of Pittsburgh); Xiaoqian Wang (University of Pittsburgh); Heng Huang (University of

    Pittsburgh)

    64.NewIncrementalLearningAlgorithmforSemiSupervisedSupportVectorMachine

    Bin Gu (University of Pittsburgh); XiaoTong Yuan (Nanjing University of Information Science & Technology); Songcan

    Chen(NanjingUniversityofAeronauticsandAstronautics);HengHuang(UniversityofPittsburgh)

    65.Areyourdatagathered?

    Alban Siffer (Univ. Rennes, Inria, CNRS, IRISA, Amossys); PierreAlain Fouque (Univ. Rennes, CNRS, IRISA, IUF); Alexandre

    Termier(Univ.Rennes,Inria,CNRS,IRISA);ChristineLargou(Univ.Rennes,Inria,CNRS,IRISA,AGROCAMPUSOUEST)

    66.OntheGenerativeDiscoveryofStructuredMedicalKnowledge

    Chenwei Zhang (University of Illinois at Chicago); Yaliang Li (Baidu Research Big Data Lab); Nan Du (Tencent Medical AI

    Lab);WeiFan(TencentMedicalAILab);PhilipS.Yu(UniversityofIllinoisatChicago)

    67. Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data Chaoyue Niu (Shanghai Jiao

    Tong University); Zhenzhe Zheng (Shanghai Jiao Tong University); Fan Wu (Shanghai Jiao Tong University); Shaojie Tang

    (The University of Texas at Dallas); Xiaofeng Gao (Shanghai Jiao Tong University); Guihai Chen (Shanghai Jiao Tong

    University)

    68.LearningtoAsk:KnowledgeAcquisitionvia20Questions

  • Yihong Chen (Tsinghua University); Bei Chen (Microsoft); Xuguang Duan (Tsinghua University); JianGuang Lou

    (Microsoft); Yue Wang (Tsinghua University); Wenwu Zhu (Tsinghua University); Yong Cao (Shanghai Higgs Intelligence &

    TechnologyCo.Ltd.)

    69.DiscoveringModelsfromStructuralandBehavioralBrainImagingData

    Zilong Bai (University of California, Davis); Buyue Qian (Department of Computer Science Xi'An Jiaotong University); Ian

    Davidson(UniversityofCalifornia,Davis)

    70.OnDiscriminationDiscoveryandRemovalinRankedDatausingCausalGraph

    YongkaiWu(UniversityofArkansas);LuZhang(UniversityofArkansas);XintaoWu(UniversityofArkansas)

    71.RedThread:ActiveSearchofConnectionsforCaseBuildingandCombatingHumanTraffickingOnline

    Reihaneh Rabbany (Carnegie Mellon University); David Bayani (Carnegie Mellon University's Auton Laboratory); Artur

    Dubrawski(CarnegieMellonUniversity)

    72.TowardsEvolutionaryCompression

    Yunhe Wang (Peking University); Chang Xu (The University of Sydney); Jiayan Qiu (The University of Sydney); Chao Xu

    (PekingUniversity);DachengTao(TheUniversityofSydney)

    73.SafeTripletScreeningforDistanceMetricLearning

    Tomoki Yoshida (Nagoya Institute of Technology); Ichiro Takeuchi (Nagoya Institute of Technology, National Institute for

    Material Science, RIKEN Center for Advanced Intelligence Project); Masayuki Karasuyama (Nagoya Institute of

    Technology,NationalInstituteforMaterialScience,JapanScienceandTechnologyAgency)

    74.HyperparameterImportanceAcrossDatasets

    JanN.vanRijn(UniversityofFreiburg);FrankHutter(UniversityofFreiburg)

    75.DeepInterestNetworkforClickThroughRatePrediction

    Guorui Zhou (Alibaba Group), Xiaoqiang Zhu (Alibaba Group), Chengru Song (Alibaba Group), Ying Fan (Alibaba Group),

    Han Zhu (Alibaba Group), Xiao Ma (Alibaba Group), Yanghui Yan (Alibaba Group), Junqi Jin (Alibaba Group), Han Li

    (AlibabaGroup),KunGai(AlibabaGroup)

    76.ImprovingBoxOfficeResultPredictionsforMoviesUsingConsumerCentricModels

    Rui Paulo Ruhrlnder (Cinuru Research GmbH), Martin Boissier (Hasso Plattner Institute), Matthias Uflacker (Hasso

    PlattnerInstitute)

    77.COTA:ImprovingtheSpeedandAccuracyofCustomerSupportthroughRankingandDeepNetworks

    PieroMolino(UberAILabs),HuaixiuZheng(UberTechnologies),YiChiaWang(UberTechnologies)

    78. Exploring Student CheckIn Behavior for Improved PointofInterest Prediction,Mengyue Hang (Purdue University),

    IanPytlarz(PurdueUniversity),JenniferNeville(PurdueUniversity)

    79.LearningTreebasedDeepModelforRecommenderSystems

    Han Zhu (Alibaba Group), Xiang Li (Alibaba Group), Pengye Zhang (Alibaba Group), Guozheng Li (Alibaba Group), Jie

    He(AlibabaGroup),HanLi(AlibabaGroup),KunGai(AlibabaGroup)

  • 80.ReinforcementLearningtoRankinECommerceSearchEngine:Formalization,Analysis,andApplication

    Yujing Hu (Alibaba Group), Qing Da (Alibaba Group), Anxiang Zeng (Alibaba Group), Yang Yu (Nanjing University),

    YinghuiXu(ZhejiangCainiaoSupplyChainManagementCo.,Ltd.),

    81.BillionscaleCommodityEmbeddingforEcommerceRecommendationinAlibaba

    Jizhe Wang (Alibaba Group), Pipei Huang (Alibaba Group), Huan Zhao (Hong Kong University of Science and

    Technology), Zhibo Zhang (Alibaba Group), Binqiang Zhao (Alibaba Group), Dik Lun Lee (Hong Kong University of

    ScienceandTechnology)

    82.RecommendationswithNegativeFeedbackviaPairwiseDeepReinforcementLearning

    Xiangyu Zhao (Michigan State University), Liang Zhang (JD.com), Zhuoye Ding (JD.com), Long Xia (JD.com), Jiliang Tang

    (MichiganStateUniversity),DaweiYin(JD.com)

    83.ProductCharacterisationtowardsPersonalisation

    ngeloCardoso(ASOS.com),FabioDaolio(ASOS.com),SalVargas(ASOS.com)

    84.BuyItAgain:ModelingRepeatPurchaseRecommendations

    Rahul Bhagat (Amazon.com Inc.), Srevatsan Muralidharan (Amazon.com Inc.), Alex Lobzhanidze (Amazon.com Inc.),

    ShankarVishwanath(Amazon.comInc.)

    85. Automated Audience Segmentation Using Reputation Signals, Maria Daltayanni (University of San Francisco (USF)),

    AliDasdan(KDConsulting),LucadeAlfaro(UniversityofCalifornia,SantaCruz)

    86.A0383p,DynamicPricingunderCompetitiononOnlineMarketplaces:ADataDrivenApproach

    RainerSchlosser(HassoPlattnerInstitute),MartinBoissier(HassoPlattnerInstitute)

    87.DistributedCollaborativeHashingandItsApplicationsinAntFinancial

    Chaochao Chen (Ant Financial Services Group), Ziqi Liu (Ant Financial Services Group), Peilin Zhao (Ant Financial

    Services Group), Longfei Li (Ant Financial Services Group), Jun Zhou (Ant Financial Services Group), Xiaolong Li (Ant

    FinancialServicesGroup)

    88.OptimalAllocationofRealTimeBiddingandDirectCampaigns

    GrgoireJauvion(AlephD),NicolasGrislain(AlephD)

    89.TaxFraudDetectionforUnderReportingDeclarationsUsinganUnsupervisedMachineLearningApproach

    Daniel de Roux (Universidad de los Andes), Boris Perz (Universidad de los Andes & Univ. Francisco de Paula

    Santander), Andrs Moreno (Universidad de los Andes), Maria del Pilar Villamil (Universidad de los Andes), Csar

    Figueroa(SecretaradeHaciendaDistrital)

    90.AdaptivePaywallMechanismforDigitalNewsMedia

    Heidar Davoudi (York University), Aijun An (York University), Morteza Zihayat (Ryerson University), Gordon Edall (The

    GlobeandMail)

    91.ScalableQueryNGramEmbeddingforImprovingMatchingandRelevanceinSponsoredSearch

    Xiao Bai (Yahoo Research), Erik Ordentlich (Yahoo Research), Yuanyuan Zhang (Yahoo Research), Andy Feng (Nvidia),

    AdwaitRatnaparkhi(RokuInc.),ReenaSomvanshi(OathInc.),AldiTjahjadi(OathInc.)

  • 92.DeepReinforcementLearningforSponsoredSearchRealtimeBidding

    Jun Zhao (Alibaba Group), Guang Qiu (Alibaba Group), Ziyu Guan (Xidian University), Wei Zhao (Xidian University),

    XiaofeiHe(ZhejiangUniversity)

    93. Lessons Learned from Developing and Deploying a LargeScale Employer Name Normalization System for Online

    Recruitment

    Qiaoling Liu (CareerBuilder LLC), Josh Chao (CareerBuilder LLC), Thomas Mahoney (CareerBuilder LLC), Alan Chern

    (CareerBuilderLLC),ChrisMin(CareerBuilderLLC),FaizanJaved(CareerBuilderLLC),ValentinJijkoun(TextkernelBV)

    94.CareerTransitionsandTrajectories:ACaseStudyinComputing

    TaraSafavi(UniversityofMichigan),MaryamDavoodi(PurdueUniversity),DanaiKoutra(UniversityofMichigan)

    95.DynamicRecommendationsforSequentialHiringDecisionsinOnlineLaborMarkets

    MariosKokkodis(BostonCollege)

    96.AssessingCandidatePreferencethroughWebBrowsingHistory

    Giovanni Comarela (Federal University of Viosa), Ramakrishnan Durairajan (University of Oregon), Paul Barford

    (University of WisconsinMadison & comScore, Inc.), Dino Christenson (Boston University), Mark Crovella (Boston

    University)

    97.HowLinkedInEconomicGraphBondsInformationandProduct:ApplicationsinLinkedInSalary

    Xi Chen (LinkedIn Corporation), Yiqun Liu (LinkedIn Corporation), Liang Zhang (LinkedIn Corporation), Krishnaram

    Kenthapadi(LinkedInCorporation)

    98.DeepDistributedFusionNetworkforAirQualityPrediction

    Xiuwen Yi (Southwest Jiaotong University & JD Finance), Junbo Zhang (JD Finance & Southwest Jiaotong University),

    Zhaoyuan Wang (Southwest Jiaotong University & JD Finance), Tianrui Li ( Southwest Jiaotong University), Yu Zheng (JD

    Finance,SouthwestJiaotongUniversity&XidianUniversity)

    99.StateSpaceModelsforForecastingWaterQualityVariables

    Joel Janek Dabrowski (Data61, CSIRO), Ashfaqur Rahman (Data61, CSIRO), Andrew George (Data61, CSIRO), Stuart

    Arnold(CSIRO),JohnMcCulloch(Data61,CSIRO)

    100.InfrastructureQualityAssessmentinAfricausingSatelliteImageryandDeepLearning

    Barak Oshri (Stanford University), Annie Hu (Stanford University), Peter Adelson (Stanford University), Xiao Chen

    (Stanford University), Pascaline Dupas (Stanford University), Jeremy Weinstein (Stanford University), Marshall Burke

    (StanfordUniversity),DavidLobell(StanfordUniversity),StefanoErmon(StanfordUniversity)

    101.RotationblendedCNNsonaNewOpenDatasetforTropicalCycloneImagetointensityRegression

    Boyo Chen (National Taiwan University), BuoFu Chen (National Center of Atmospheric Research), HsuanTien Lin

    (NationalTaiwanUniversity)

    102. A DataDriven ThreeLayer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading

    Constraint

    Xijun Li (Shanghai Jiao Tong University), Mingxuan Yuan (Huawei Technologies), Di Chen (Huawei Technologies),

    JianguoYao(ShanghaiJiaoTongUniversity),JiaZeng(HuaweiTechnologies)

  • 103.PredictingEstimatedTimeofArrivalforCommercialFlights

    Samet Ayhan (University of Maryland), Pablo Costas (Boeing Research & Technology Europe), Hanan Samet (University

    ofMaryland)

    104.DeepSequenceLearningwithAuxiliaryInformationforTrafficPrediction

    Binbing Liao (Zhejiang University), Jingqing Zhang (Imperial College London), Chao Wu (Zhejiang University), Douglas

    McIlwraith (Imperial College London), Tong Chen (Zhejiang University), Shengwen Yang (Baidu Inc.), Yike Guo (Imperial

    CollegeLondon),FeiWu(ZhejiangUniversity)

    105.LearningtoEstimatetheTravelTime

    ZhengWang(DiDiAILabs&DidiChuxing),KunFu(DiDiAILabs&DidiChuxing),JiepingYe(DiDiAILabs&DidiChuxing)

    106.MobileAccessRecordResolutiononLargeScaleIdentifierLinkageGraphs

    SHEN Xin (Zhejiang University), Hongxia Yang (Alibaba Group), Weizhao Xian (Zhejiang University), Martin Ester (Simon

    FraserUniversity),JiajunBu(ZhejiangUniversity),ZhongyaoWang(AlibabaGroup),CanWang(ZhejiangUniversity)

    107. HeteroConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous SpatioTemporal

    Data

    ZhuoningYuan(UniversityofIowa),XunZhou(UniversityofIowa),TianbaoYang(UniversityofIowa)

    108.PittGrub:AFrustrationFreeSystemtoReduceFoodWastebyNotifyingHungryCollegeStudents

    Mark Silvis (University of Pittsburgh), Anthony Sicilia (University of Pittsburgh), Alexandros Labrinidis (University of

    Pittsburgh)

    109.DeployingMachineLearningModelsforPublicPolicy:AFramework

    Klaus Ackermann (Monash University), Joe Walsh (University of Chicago), Adolfo De Unnue (University of Chicago),

    Hareem Naveed (University of Chicago), Andrea Navarrete Rivera (University of Chicago), SunJoo Lee (University of

    Chicago), Jason Bennett (CharlotteMecklenburg Police Department), Michael Defoe (CharlotteMecklenburg Police

    Department), Crystal Cody (CharlotteMecklenburg Police Department), Lauren Haynes (University of Chicago), Rayid

    Ghani(UniversityofChicago),

    110.DiscoveringLatentPatternsofUrbanCulturalInteractionsinWeChatforModernCityPlanning

    Xiao Zhou (University of Cambridge), Anastasios Noulas (New York University), Cecilia Mascolo (University of

    Cambridge),ZhongxiangZhao(TencentInc.)

    111.StepDeep:ANovelSpatialtemporalMobilityEventPredictionFrameworkbasedonDeepNeuralNetwork

    Bilong Shen (Tsinghua University), Xiaodan Liang (Carnegie Mellon University), Yufeng Ouyang (Arizona State

    University), Miaofeng Liu (University of Science and Technology of China), Weimin Zheng (Tsinghua University),

    KathleenM.Carley(CarnegieMellonUniversity)

    112.SDREGION:FastSpottingofChangingCommunitiesinBiologicalNetworks

    Serene W.H. Wong (University Health Network), Chiara Pastrello (University Health Network), Max Kotlyar (University

    Health Network), Christos Faloutsos (Carnegie Mellon University), Igor Jurisica (University of Toronto & University

    HealthNetwork)

    113.InterpretableRepresentationLearningforHealthcareviaCapturingDiseaseProgressionthroughTime

  • Tian Bai (Temple University), Shanshan Zhang (Temple University), Brian L. Egleston (Fox Chase Cancer Center),

    SlobodanVucetic(TempleUniversity)

    114.FatiguePredictioninOutdoorRunnersViaMachineLearningandSensorFusion

    Tim Op De Beck (KU Leuven), Wannes Meert (KU Leuven), Kurt Schtte (KU Leuven), Benedicte Vanwanseele (KU

    Leuven),JesseDavis(KULeuven)

    115.InferringMetapopulationPropagationNetworkforIntracityEpidemicControlandPrevention

    JingyuanWang(BeihangUniversity),XiaojianWang(BeihangUniversity),JunjieWu(BeihangUniversity)

    116.IdentifySusceptibleLocationsinMedicalRecordsviaAdversarialAttacksonDeepPredictiveModels

    Mengying Sun (Michigan State University), Fengyi Tang (Michigan State University), Jinfeng Yi (JD AI Research), Fei

    Wang(WeillCornellMedicalSchool),JiayuZhou(MichiganStateUniversity)

    117.DetectionofParoxysmalAtrialFibrillationusingAttentionbasedBidirectionalRecurrentNeuralNetworks

    Supreeth P. Shashikumar (Georgia Institute of Technology), Amit J. Shah (Emory University), Gari D. Clifford (Emory

    University&GeorgiaInstituteofTechnology),ShamimNemati(EmoryUniversity)

    118.LearningTasksforMultitaskLearning:HeterogenousPatientPopulationsintheICU

    Harini Suresh (Massachusetts Institute of Technology), Jen J. Gong (Massachusetts Institute of Technology), John V.

    Guttag(MassachusettsInstituteofTechnology)

    119.MultimodalSentimentAnalysisToExploretheStructureofEmotions

    AnthonyHu(UniversityofOxford),SethFlaxman(ImperialCollegeLondon)

    120.MultiTaskLearningwithNeuralNetworksforVoiceQueryUnderstandingonanEntertainmentPlatform

    Jinfeng Rao (Comcast Applied AI Research Lab & University of Maryland), Ferhan Ture (Comcast Applied AI Research

    Lab),JimmyLin(UniversityofWaterloo)

    121.TowardsKnowledgeDiscoveryfromtheVaticanSecretArchives

    Donatella Firmani (Roma Tre University), Marco Maiorino (Vatican Secret Archives), Paolo Merialdo (Roma Tre

    University),ElenaNieddu(RomaTreUniversity)

    122.AScalableSolutionforRuleBasedPartofSpeechTaggingonNovelHardwareAccelerators

    Elaheh Sadredini (University of Virginia), Deyuan Guo (University of Virginia), Chunkun Bo (University of Virginia), Reza

    Rahimi(UniversityofVirginia),KevinSkadron(UniversityofVirginia),HongningWang(UniversityofVirginia)

    123.Pangloss:FastEntityLinkinginNoisyTextEnvironments

    Michael Conover (Workday, Inc.), Matthew Hayes (Workday, Inc.), Scott Blackburn (Workday, Inc.), Pete Skomoroch

    (Workday,Inc.),SamShah(Workday,Inc.)

    124.AnatomyofaPrivacySafeLargeScaleInformationExtractionSystemOverEmail

    Ying Sheng (Google), Sandeep Tata (Google), James B Wendt (Google), Jing Xie (Google), Qi Zhao (Google), Marc

    Najork(Google)

    125.NotificationVolumeControlandOptimizationSystematPinterest

  • BoZhao(Pinterest),KoichiroNarita(Pinterest),BurkayOrten(Pinterest),JohnEgan(Pinterest)

    126.DeepLearningforPracticalImageRecognition:CaseStudyonKaggleCompetitions

    Xulei Yang (Institute for Infocomm Research), Zeng Zeng (Institute for Infocomm Research), Sin G. Teo (Institute for

    Infocomm Research), Li Wang (Institute for Infocomm Research), Vijay Chandrasekhar (Institute for Infocomm

    Research),StevenHoi(SingaporeManagementUniversity)

    127.ResolvingAbstractAnaphoraImplicitlyinConversationalAssistantsusingaHierarchicallystackedRNN

    Prerna Khurana (Tata Consultancy Services), Puneet Agarwal (Tata Consultancy Services), Gautam Shroff (Tata

    ConsultancyServices),LovekeshVig(TataConsultancyServices)

    128.MIX:MultiChannelInformationCrossingforTextMatching

    Haolan Chen (Mobile Internet Group, Tencent), Fred X. Han (University of Alberta), Di Niu (University of Alberta), Dong

    Liu (Mobile Internet Group, Tencent), Kunfeng Lai (Mobile Internet Group, Tencent), Chenglin Wu (Mobile Internet

    Group,Tencent),YuXu(MobileInternetGroup,Tencent)

    129.VisualSearchatAlibaba

    Yanhao Zhang (Alibaba Group), Pan Pan (Alibaba Group), Yun Zheng (Alibaba Group), Kang Zhao (Alibaba Group),

    YingyaZhang(AlibabaGroup),XiaofengRen(AlibabaGroup),RongJin(AlibabaGroup)

    130.Autotune:ADerivativefreeOptimizationFrameworkforHyperparameterTuning

    Patrick Koch (SAS Institute Inc.), Oleg Golovidov (SAS Institute Inc.), Steven Gardner (SAS Institute Inc.), Brett Wujek

    (SASInstituteInc.),JoshuaGriffin(SASInstituteInc.),YanXu(SASInstituteInc.)

    131.WebScaleResponsiveVisualSearchatBing

    Houdong Hu (Microsoft), Yan Wang (Microsoft), Linjun Yang (Microsoft), Pavel Komlev (Microsoft), Li Huang

    (Microsoft), Xi (Stephen) Chen (Microsoft), Jiapei Huang (Microsoft), Ye Wu (Microsoft), Meenaz Merchant (Microsoft),

    Arun Sacheti (Microsoft)A0578p, NextStep Suggestions for Modern Interactive Data Analysis Platforms, Tova Milo (Tel

    AvivUniversity),AmitSomech(TelAvivUniversity),

    132.NextStepSuggestionsforModernInteractiveDataAnalysisPlatforms

    TovaMilo(TelAvivUniversity),AmitSomech(TelAvivUniversity)

    133.DeviceGraphingbyExample

    Keith Funkhouser (comScore), Matthew Malloy (comScore), Enis Ceyhun Alp (comScore), Phillip Poon (comScore), Paul

    Barford(comScore,UniversityofWisconsin)

    134.RapidScorer:FastTreeEnsembleEvaluationbyMaximizingCompactnessinDataLevelParallelization

    Ting Ye (Microsoft), Hucheng Zhou (Alibaba Group), Will Y. Zou (Microsoft), Bin Gao (Microsoft), Ruofei Zhang

    (Microsoft)

    135.ARealtimeFrameworkforDetectingEfficiencyRegressionsinaGloballyDistributedCodebase

    Martin ValdezVivas (Facebook), Caner Gocmen (Facebook), Andrii Korotkov (Facebook), Ethan Fang (Facebook), Kapil

    Goenka(Facebook),SherryChen(Facebook)

    136.BigIN4:Instant,InteractiveInsightIdentificationforMultiDimensionalBigData

  • Qingwei Lin (Microsoft Research), Weichen Ke (Peking University), JianGuang Lou (Microsoft Research), Hongyu

    Zhang (The University of Newcastle), Kaixin Sui (Microsoft Research), Yong Xu (Microsoft Research), Ziyi Zhou

    (MicrosoftResearch),BoQiao(MicrosoftResearch),DongmeiZhang(MicrosoftResearch)

    137.SQR:BalancingSpeed,QualityandRiskinOnlineExperiments

    YaXu(LinkedInCorporation),WeitaoDuan(LinkedInCorporation),ShaochenHuang(LinkedInCorporation)

    138.ScalableOptimizationforEmbeddingHighlyDynamicandRecencySensitiveData

    Xumin Chen (Tsinghua University), Peng Cui (Tsinghua University), Lingling Yi (Tencent Technology (Shenzhen) Co Ltd),

    ShiqiangYang(TsinghuaUniversity)

    139.SHIELD:Fast,PracticalDefenseandVaccinationforDeepLearningusingJPEGCompression

    Nilaksh Das (Georgia Institute of Technology), Madhuri Shanbhogue (Georgia Institute of Technology), ShangTse Chen

    (Georgia Institute of Technology), Fred Hohman (Georgia Institute of Technology), Siwei Li (Georgia Institute of

    Technology), Li Chen (Intel Corporation), Michael E. Kounavis (Intel Corporation), Duen Chau (Georgia Institute of

    Technology)

    140.ActiveDeepLearningtoTuneDowntheNoiseinLabels

    KaranSamel(Astound),XuMiao(Astound)

    141.AcceleratingLargeScaleDataAnalysisbyOffloadingtoHighPerformanceComputingLibrariesusingAlchemist

    Alex Gittens (Rensselaer Polytechnic Institute), Kai Rothauge (University of California, Berkeley), Shusen Wang

    (University of California, Berkeley), Michael W. Mahoney (University of California, Berkeley), Lisa Gerhardt

    (NERSC/LBNL), Prabhat (NERSC/LBNL), Jey Kottalam (University of California, Berkeley), Michael Ringenburg (Cray Inc.),

    KristynMaschhoff(CrayInc.)

    142.AnExtensibleEventExtractionSystemWithCrossMediaEventResolution

    Fabio Petroni (Thomson Reuters), Natraj Raman (Thomson Reuters), Timothy Nugent (Thomson Reuters), Armineh

    Nourbakhsh (S&P Global), arko Panic (Thomson Reuters), Sameena Shah (S&P Global), Jochen L. Leidner (Thomson Reuters)

    143.GotchaSlyMalware!Scorpion:AMetagraph2vecBasedMalwareDetectionSystem

    Yujie Fan (West Virginia University), Shifu Hou (West Virginia University), Yiming Zhang (West Virginia University),

    YanfangYe(WestVirginiaUniversity),MelihAbdulhayoglu(ComodoSecuritySolutions,Inc.)

    144.ManagingComputerAssistedDetectionSystemBasedonTransferLearningwithNegativeTransferInhibition

    Issei Sato (University of Tokyo), Yukihiro Nomura (University of Tokyo Hospital), Shouhei Hanaoka (University of Tokyo

    Hospital), Soichiro Miki (University of Tokyo Hospital), Naoto Hayashi (University of Tokyo Hospital), Osamu Abe

    (UniversityofTokyoHospital),YoshitakaMasutani(HiroshimaCityUniversity)

    145.EANN:EventAdversarialNeuralNetworksforMultiModalFakeNewsDetection

    Yaqing Wang (SUNY Buffalo), Fenglong Ma (SUNY Buffalo), Zhiwei Jin (University of Chinese Academy of Sciences), Ye

    Yuan (Beijing University of Technology), Guangxu Xun (SUNY Buffalo), Kishlay Jha (SUNY Buffalo), Lu Su (SUNY Buffalo),

    JingGao(SUNYBuffalo)

    146.NGUARD:AGameBotDetectionFrameworkforNetEaseMMORPGs

  • Jianrong Tao (NetEase Fuxi AI Lab), Jiarong Xu (Zhejiang University), Linxia Gong (NetEase Fuxi AI Lab), Yifu Li (NetEase

    FuxiAILab),ChangjieFan(NetEaseFuxiAILab),ZhouZhao(ZhejiangUniversity)

    147.IKnowYou'llBeBack:InterpretableNewUserClusteringandChurnPredictiononaMobileSocialApplication

    Yanhao Zhang (Alibaba Group); Pan Pan (Alibaba Group); Yun Zheng (Alibaba Group); Kang Zhao(Alibaba Group); Yingya

    Zhang(AlibabaGroup);XiaofengRen(AlibabaGroup);RongJin(AlibabaGroup)

    148.PerceiveYourUsersinDepth:LearningUniversalUserRepresentationsfromMultipleEcommerceTasks

    Yabo Ni (Alibaba Group); Dan Ou (Alibaba Group); Shichen Liu (Alibaba Group); Xiang Li (Alibaba Group); Wenwu Ou

    (AlibabaGroup);AnxiangZeng(AlibabaGroup);LuoSi(AlibabaGroup)

    149.EtailProductReturnPredictionviaHypergraphbasedLocalGraphCut

    JianboLi(ThreeBridgesCapital);JingruiHe(ArizonaStateUniversity);YadaZhu(IBMResearch)

    150.OpenTag:OpenAttributeValueExtractionfromProductProfiles

    Guineng Zheng (University of Utah); Subhabrata Mukherjee (Amazon.com); Xin Luna Dong (Amazon.com); Feifei Li

    (UniversityofUtah)

    151.LearningandTransferringIDsRepresentationinEcommerce

    KuiZhao(AlibabaGroup);YuechuanLi(AlibabaGroup);ZhaoqianShuai(AlibabaGroup);ChengYang(AlibabaGroup)

    152.LargeScaleOrderDispatchinOnDemandRideHailingPlatforms:ALearningandPlanningApproach

    Zhe Xu (Didi Chuxing); Zhixin Li (Didi Chuxing); Qingwen Guan (Didi Chuxing); Dingshui Zhang (Didi Chuxing); Qiang Li

    (Didi Chuxing); Junxiao Nan (Didi Chuxing); Chunyang Liu (Didi Chuxing); Wei Bian (Didi Chuxing); Jieping Ye(Didi

    Chuxing)

    153.CustomizedRegressionModelforAirbnbDynamicPricing

    Peng Ye (Airbnb Inc.); Julian Qian (Ant Financial); Jieying Chen (Airbnb Inc.); Chenhung Wu (Airbnb Inc.);Yitong Zhou

    (AirbnbInc);SpencerDeMars(ImpiraInc.);FrankYang(AirbnbInc.);LiZhang(AirbnbInc.)

    154.AudienceSizeForecasting

    Yeming Shi (Dstillery); Claudia Perlich (Dstillery); Rod Hook (Dstillery); Wickus Martin (Dstillery);Melinda Han Williams

    (Dstillery); Justin Moynihan (Dstillery); Patrick McCarthy (Dstillery); Peter Lenz (Dstillery); Reka DanielWeiner

    (Dstillery);RogerCost(Dstillery)

    155.OptimizationofaSSPsHeaderBiddingStrategyusingThompsonSampling

    Grgoire Jauvion (AlephD); Nicolas Grislain (AlephD); Pascal Dkengne Sielenou (IMT); Aurlien Garivier (IMT); Sbastien

    Gerchinovitz(IMT)

    156.ApplyingtheDeltaMethodinMetricAnalytics

    AlexDeng(MicrosoftCorporation);UlfKnoblich(MicrosoftCorporation);JiannanLu(MicrosoftCorporation)

    157.OnlineParameterSelectionforWebbasedRankingProblems

    Deepak Agarwal (LinkedIn Corporation); Kinjal Basu (LinkedIn Corporation); Souvik Ghosh (LinkedIn Corporation); Ying

    Xuan(LinkedInCorporation);YangYang(LinkedInCorporation);LiangZhang(LinkedInCorporation)

  • 158.NearRealtimeOptimizationofActivitybasedNotifications

    Yan Gao (LinkedIn Corporation); Viral Gupta (LinkedIn Corporation); Jinyun Yan (LinkedIn Corporation); Changji Shi

    (LinkedIn Corporation); Zhongen Tao (LinkedIn Corporation); PJ Xiao (LinkedIn Corporation); Curtis Wang (LinkedIn

    Corporation); Shipeng Yu (LinkedIn Corporation); Romer Rosales (LinkedIn Corporation); Ajith Muralidharan (LinkedIn

    Corporation);ShaunakChatterjee(LinkedInCorporation)

    159.RealtimePersonalizationusingEmbeddingsforSearchRankingatAirbnb

    MihajloGrbovic(Airbnb,Inc.);HaibinCheng(Airbnb,Inc.)

    160.GraphConvolutionalNeuralNetworksforWebScaleRecommenderSystems

    Rex Ying (Stanford University & Pinterest); Ruining He (Pinterest ); Kaifeng Chen (Pinterest & Stanford University); Pong

    Eksombatchai(Pinterest);WilliamL.Hamilton(StanfordUniversity);JureLeskovec(StanfordUniversity&Pinterest)

    161.Q&R:ATwoStageApproachtowardInteractiveRecommendation

    Konstantina Christakopoulou (University of Minnesota); Alex Beutel (Google Inc); Rui Li (Google Inc);Sagar Jain (Google

    Inc);EdH.Chi(GoogleInc)

    162.WattHome:ADatadrivenApproachforEnergyEfficiencyAnalyticsatCityscale

    Srinivasan Iyengar(University of Massachusetts Amherst); Stephen Lee (University of Massachusetts Amherst);David

    Irwin(University of Massachusetts Amherst); Prashant Shenoy (University of Massachusetts Amherst); Benjamin Weil

    (UniversityofMassachusettsAmherst)

    163.TowardsStationLevelDemandPredictionforEffectiveRebalancinginBikeSharingSystems

    PierreHulot(PolytechniqueMontral);DanielAloise(PolytechniqueMontral);SanjayDominikJena(ESGUQAM)

    164.DuParking:SpatioTemporalBigDataTellsYouRealtimeParkingAvailability

    YuechengRong(Baidu);ZhimianXu(Baidu);RuiboYan(Baidu);XuMa(Baidu)

    165.DetectingVehicleIllegalParkingEventsusingSharingBikes'Trajectories

    Tianfu He (Harbin Institute of Technology); Jie Bao (Urban Computing Business Unit, JD Finance); Ruiyuan Li (Xidian

    University & Urban Computing Business Unit, JD Finance); Sijie Ruan (Xidian University & Urban Computing Business

    Unit, JD Finance); Yanhua Li (Worcester Polytechnic Institute); Chao Tian (Beijing Mobike Technology Co., Ltd); Yu Zheng

    (UrbanComputingBusinessUnit,JDFinance&XidianUniversity)

    166.WhereWillDocklessSharedBikesbeStacked?ParkingHotspotsDetectioninaNewCity

    Zhaoyang Liu (Shanghai Jiao Tong University); Yanyan Shen (Shanghai Jiao Tong University); Yanmin Zhu (Shanghai Jiao

    TongUniversity)

    167.UsingMachineLearningtoAssesstheRiskofandPreventWaterMainBreaks

    Avishek Kumar (University of Chicago); Syed Ali Asad Rizvi (University of Oxford); Benjamin Brooks (University of

    Chicago); R. Ali Vanderveld (ShopRunner); Kevin H. Wilson (The Lab at DC); Chad Kenney (City of Denver, CO);Sam

    Edelstein (City of Syracuse, NY); Adria Finch (City of Syracuse, NY); Andrew Maxwell (City of Syracuse, NY); Joe

    Zuckerbraun(CityofSyracuse,NY);RayidGhani(UniversityofChicago)

    168.DetectingSpacecraftAnomaliesUsingLSTMsandNonparametricDynamicThresholding

  • Kyle Hundman (California Institute of Technology); Valentino Constantinou (California Institute of Technology);

    Christopher Laporte (California Institute of Technology); Ian Colwell (California Institute of Technology); Tom Soderstrom

    (CaliforniaInstituteofTechnology)

    169.ExplainingAviationSafetyIncidentsUsingDeepTemporalMultipleInstanceLearning

    VijayManikandanJanakiraman(NASAAmesResearchCenter)

    170.ActiveRemediation:TheSearchforLeadPipesinFlint,Michigan

    Jacob Abernethy (Georgia Institute of Technology & University of Michigan); Alex Chojnacki (University of Michigan);

    AryaFarahi(UniversityofMichigan);EricSchwartz(UniversityofMichigan);JaredWebb(BrighamYoungUniversity)

    171.ADynamicPipelineforSpatioTemporalFireRiskPrediction

    Bhavkaran Singh Walia (Carnegie Mellon University); Qianyi Hu (Carnegie Mellon University); Jeffrey Chen (Carnegie

    Mellon University); Fangyan Chen (Carnegie Mellon University); Jessica Lee (Carnegie Mellon University);Nathan Kuo

    (Carnegie Mellon University); Palak Narang (Carnegie Mellon University); Jason Batts (Pittsburgh Bureau of Fire);

    GeoffreyArnold(Dept.ofInnovationandPerformance);MichaelMadaio(CarnegieMellonUniversity)

    172.CorpusConversionService:AMachineLearningPlatformtoIngestDocumentsatScale

    Peter W J Staar (IBM Research); Michele Dolfi (IBM Research); Christoph Auer (IBM Research); Costas Bekas(IBM

    Research)

    173.RareQueryExpansionThroughGenerativeAdversarialNetworksinSearchAdvertising

    MuChuLee(CarnegieMellonUniversity);BinGao(Microsoft);RuofeiZhang(Microsoft)

    174.CollaborativeDeepMetricLearningforVideoUnderstanding

    Joonseok Lee (Google AI Perception); Sami AbuElHaija (Google AI Perception); Balakrishnan Varadarajan (Google AI

    Perception);Apostol(Paul)Natsev(GoogleAIPerception)

    175.NameDisambiguationinAMiner:Clustering,Maintenance,andHumanintheLoop

    Yutao Zhang (Tsinghua University);Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang

    (TsinghuaUniversity)

    176.Rosetta:LargeScaleSystemforTextDetectionandRecognitioninImages

    FedorBorisyuk(FacebookInc.);AlbertGordo(FacebookInc.);ViswanathSivakumar(FacebookInc.)

    177.TATC:PredictingAlzheimer'sDiseasewithActigraphyData

    Jia Li (The Chinese University of Hong Kong); Yu Rong (Tencent AI Lab); Helen Meng (The Chinese University of Hong

    Kong); Zhihui Lu (The Chinese University of Hong Kong); Timothy Kwok (The Chinese University of Hong Kong); Hong

    Cheng(TheChineseUniversityofHongKong)

    178. Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with PatternBased Regularization and

    Visualization

    Hiroki Sugiura (University of Tokyo); Taichi Kiwaki (University of Tokyo); Siamak Yousefi (University of Tennessee Health

    Science Center); Hiroshi Murata (University of Tokyo); Ryo Asaoka (University of Tokyo); Kenji Yamanishi (University of

    Tokyo)

    179.AcceleratingPrototypeBasedDrugDiscoveryusingConditionalDiversityNetworks

  • ShaharHarel(TechnionIsraelInstituteofTechnology);KiraRadinsky(TechnionIsraelInstituteofTechnology)

    180.ReleasingeHealthAnalyticsintotheWild:LessonsLearntfromtheSPHEREProject

    Tom Diethe (Amazon Research); Mike Holmes (University of Bristol); (Meelis Kull) University of Tartu; Miquel Perello

    Nieto (University of Bristol); Kacper Sokol (University of Bristol); Hao Song (University of Bristol); Emma Tonkin

    (UniversityofBristol);NiallTwomey(UniversityofBristol);PeterFlach(UniversityofBristol)

    181.DetectionofApathyinAlzheimerPatientsbyAnalysingVisualScanningBehaviourwithRNNs

    Jonathan Chung (University of Toronto); Sarah A. Chau (Sunnybrook Research Institute and University of Toronto);

    Nathan Herrmann (Sunnybrook Research Institute and University of Toronto); Krista L. Lanctt (Sunnybrook Research

    InstituteandUniversityofToronto);MosheEizenman(UniversityofToronto)

    182.FalseDiscoveryRateControlledHeterogeneousTreatmentEffectDetectionforOnlineControlledExperiments

    YuxiangXie(UniversityofWashington);NanyuChen(LinkedIn);XiaolinShi(SnapInc.)

    183.Winner'sCurse:BiasEstimationforTotalEffectsofFeaturesinOnlineControlledExperiments

    MinyongR.Lee(Airbnb,Inc.);MilanShen(Airbnb,Inc.)

    184.AutomaticDiscoveryofTacticsinSpatioTemporalSoccerMatchData

    TomDecroos(KULeuven);JanVanHaaren(SciSports);JesseDavis(KULeuven)

    185.UsingRuleBasedLabelsforWeakSupervisedLearning

    Garrett B. Goh (Pacific Northwest National Lab (PNNL)); Charles Siegel (Cray Inc.); Abhinav Vishnu (Advanced Micro

    DevicesInc.);NathanHodas(PacificNorthwestNationalLab(PNNL))

    186.PrePePAToolfortheIdentificationandCharacterizationofPanAssayInterferenceCompounds

    Maksim Koptelov (Normandie Universit); Albrecht Zimmermann(Normandie Universit); Pascal Bonnet

    (ICOA/University of Orlans); Ronan Bureau (CERMN/University of Caen); Normandy Bruno (Crmilleux Normandie

    Universit)

    187.196.KDDCupPosters

    Tuesday7:30PM9:30PM,OCDinner

  • WednesdayAugust22,2018DetailedProgram

    Wednesday7:00AM5:00PM,Registration,RegistrationDeskBoulevard(Level0)

    Wednesday9:30AM6:00PM,SponsorRoomICCCapitalSuiteRoom5(Level3)

    Wednesday9:30AM6:00PM,KDDExhibitHallICCCapitalHall(Level0)Wednesday8:30AM12:00PM,HandsOnTutorial:BeyondGraphMining:HigherOrderDataAnalyticsforTemporalNetworkDataICCCapitalSuiteRoom2+3+4(Level3)Wednesday8:30AM12:00PM,HandsOnTutorial:DeepLearningwithKerasICCCapitalSuiteRoom14+15+16(Level3)Tuesday8:00PM9:30PM,ICCAuditorium(Level0)

    KeynoteSession3:MarketDesignandComputerizedMarketplaces

    Speaker:AlvinE.Roth,NobelMemorialPrizeinEconomics,ProfessorofEconomics,StanfordUniversity

    Abstract: Markets and marketplaces are ancient human artifacts, but in recent years they have become ever more important. In part this is because marketplaces are becoming computerized. Together with the introduction of smartphones, this also makes them ubiquitous. We can order car rides to the airport, plane rides to London, and hotel rooms for when we arrive, all on our smartphones. And as we do so we leave a data trail that is easily combined with other streams of data. This is changing not only how we interact with markets, but also how we manage and regard privacy.Illdiscusssomerecentdevelopmentsincomputerizedmarketsandspeculateaboutsomestilltocome.

    Wednesday9:30AM10:00AM,KDDCoffeeBreak,ICCCapitalHall(Level0)

    Wednesday10:00AM12:00PM

    ResearchTrackSessionRT9:SupervisedLearningI,ICCCapitalSuiteRoom8+11(Level3)

    UnlearnWhatYouHaveLearned:AdaptiveCrowdTeachingwithExponentiallyDecayedMemoryLearnersYaoZhou(ArizonaStateUniversity);ArunReddyNelakurthi(ArizonaStateUniversity);JingruiHe(ArizonaStateUniversity)CalibratedMultiTaskLearningFeipingNie(DepartmentofComputerScience,OPTIMAL,NorthwesternPolytechnicalUniversity);ZhanxuanHu(DepartmentofComputerScience,OPTIMAL,NorthwesternPolytechnicalUniversity);XuelongLi(OPTIMAL,XianInstituteofOpticsandPrecisionMechanics,ChineseAcademyofSciences)ModelingTaskRelationshipsinMultitaskLearningwithMultigateMixtureofExpertsJiaqiMa(UniversityofMichigan);ZheZhao(Google);XinyangYi(Google);JilinChen(Google);LichanHong(Google);EdChi(Google)ComplexObjectClassification:AMultiModalMultiInstanceMultiLabelDeepNetworkwithOptimalTransportYangYang(NanJinguniversity);YiFengWu(LAMDAGroup,NanjingUniversity);DeChuanZhan(NanjingUniversity);ZhiBinLiu(Tencent);YuanJiang(NanjingUniversity)FeedbackGuidedAnomalyDiscoveryviaOnlineOptimizationMdAmranSiddiqui(OregonStateUniversity);AlanFern(OregonStateUniversity);ThomasDietterich(OregonStateUniversity);RyanWright(Galois,Inc.);AlecTheriault(Galois,Inc.);DavidArcher(Galois,Inc.)

  • AppliedDataScienceTrackSessionADS4:UrbanPlanning,ICCCapitalSuiteRoom7+12(Level3)

    Chair:KamalikaDas

    WattHome:ADatadrivenApproachforEnergyEfficiencyAnalyticsatCityscale

    Srinivasan Iyengar(University of Massachusetts Amherst); Stephen Lee (University of Massachusetts Amherst);David

    Irwin(University of Massachusetts Amherst); Prashant Shenoy (University of Massachusetts Amherst); Benjamin Weil

    (UniversityofMassachusettsAmherst)

    TowardsStationLevelDemandPredictionforEffectiveRebalancinginBikeSharingSystems

    PierreHulot(PolytechniqueMontral);DanielAloise(PolytechniqueMontral);SanjayDominikJena(ESGUQAM)

    DuParking:SpatioTemporalBigDataTellsYouRealtimeParkingAvailability

    YuechengRong(Baidu);ZhimianXu(Baidu);RuiboYan(Baidu);XuMa(Baidu)

    DetectingVehicleIllegalParkingEventsusingSharingBikes'Trajectories

    Tianfu He (Harbin Institute of Technology); Jie Bao (Urban Computing Business Unit, JD Finance); Ruiyuan Li (Xidian

    University & Urban Computing Business Unit, JD Finance); Sijie Ruan (Xidian University & Urban Computing Business

    Unit, JD Finance); Yanhua Li (Worcester Polytechnic Institute); Chao Tian (Beijing Mobike Technology Co., Ltd); Yu Zheng

    (UrbanComputingBusinessUnit,JDFinance&XidianUniversity)

    WhereWillDocklessSharedBikesbeStacked?ParkingHotspotsDetectioninaNewCity

    Zhaoyang Liu (Shanghai Jiao Tong University); Yanyan Shen (Shanghai Jiao Tong University); Yanmin Zhu (Shanghai Jiao

    TongUniversity)

    ResearchTrackSessionRT10:RecommendersI,ICCCapitalSuiteRoom9+10(Level3)

    LeveragingMetapathbasedContextforTopNrecommendationwithCoattentionmechanismBinbinHu(BeijingUniversityofPostsandTelecommunications);ChuanShi(BeijingUniversityofPostsandTelecommunications);XinZhao(SchoolofInformation,RenminUniversityofChina);PhilipS.Yu(UniversityofIllinoisatChicago)EfficientAttributeRecommendationwithProbabilisticGuaranteeChiWang(Microsoft);KaushikChakrabarti(Microsoft)RankingDistillation:LearningCompactRankingModelsWithHighPerformanceforRecommenderSystemJiaxiTang(SimonFraserUniversity);KeWang(SimonFraserUniversity)AlgorithmsforHiringandOutsourcingintheOnlineLaborMarketArisAnagnostopoulos(SapienzaUniversityofRome);CarlosCastillo(UniversitatPompeuFabra);AdrianoFazzone(SapienzaUniversityofRome);StefanoLeonardi(SapienzaUniversityofRome);EvimariaTerzi(BostonUniversity)MultiPointerCoAttentionNetworksforRecommendationYiTay(NanyangTechnologicalUniversity);AnhTuanLuu(I2r);SiuCheungHui(NanyangTechnologicalUniversity)

    ResearchTrackSessionRT11:RepresentationandEmbeddingI,ICCCapitalSuiteRoom6+13(Level3)

    MultiTypeItemsetEmbeddingforLearningBehaviorSuccess

  • DahengWang(UniversityofNotreDame);MengJiang(UniversityofNotreDame);QingkaiZeng(UniversityofNotreDame);ZacharyEberhart(UniversityofNotreDame);NiteshChawla(UniversityofNotreDame)MultilabelLearningwithHighlyIncompleteDataviaCollaborativeEmbeddingGuansongPang(UniversityofTechnology,Sydney);LongbingCao(FacultyofIT,UniversityofTechnologySydney);LingChen(UniversityofTechnology,Sydney);HuanLiu(ArizonaStateUniversity)LearningRepresentationsofUltrahighdimensionalDataforRandomDistancebasedOutlierDetectionZeminLiu(ZhejiangUniversity);VincentW.Zheng(AdvancedDigitalSciencesCenter);ZhouZhao(ZhejiangUniversity);ZhaoLi(AlibabaGroup);HongxiaYang(AlibabaGroup);MinghuiWu(ZhejiangUniversity);JingYing(ZhejiangUniversity)InteractivePathsEmbeddingforSemanticProximitySearchonHeterogeneousGraphseminLiu(ZhejiangUniversity);VincentW.Zheng(AdvancedDigitalSciencesCenter);ZhouZhao(ZhejiangUniversity);ZhaoLi(AlibabaGroup);HongxiaYang(AlibabaGroup);MinghuiWu(ZhejiangUniversity);JingYing(ZhejiangUniversity)ConceptsBridges:UncoveringConceptualBridgesBasedonBiomedicalConceptEvolutionKishlayJha(StateUniversityofNewYorkatBuffalo);GuangxuXun(StateUniversityofNewYorkatBuffalo);YaqingWang(StateUniversityofNewYorkatBuffalo);VishrawasGopalakrishnan(StateUniversityofNewYorkatBuffalo);AidongZhang(StateUniversityofNewYorkatBuffalo)

    AppliedDataScienceInvitedSessionAI2:ConsumerInternetApplications,ICCAuditorium(Level0)

    BuildingNearlineContextualRecommendationsforActiveCommunitiesonLinkedInHemaRaghavan(LinkedIn)ThePinterestApproachtoMachineLearningGraceHuang(Pinterest)ChallengesandInnovationsinBuildingaProductKnowledgeGraphXinLunaDong(Amazon)

    ProjectShowcase,ICCLondonSuiteRoom3

    Wednesday12:00PM1:30PM,KDDLunch,ICCCapitalHall(Level0)

    Wednesday12:00PM1:30PM,KDDWomen'sLunch(TicketRequired),HallsN20N23

    Wednesday 1:30PM 5:30PM, Hands On Tutorial: Beyond Graph Mining: HigherOrder Data Analytics for Temporal

    NetworkData,ICCCapitalSuiteRoom2+3+4(Level3)

    Wednesday 1:30PM 5:30PM, Hands On Tutorial: Feature Extraction and Summarization with Sequence to Sequence

    Learning,ICCCapitalSuiteRoom14+15+16(Level3)

    Wednesday1:30PM6:00PM,ProjectShowcase,ICCLondonSuiteRoom3

    Wednesday1:30PM6:00PM,GlobalAIInitiativesEvent,ICCCapitalSuiteRoom7+12(Level3)

    Wednesday1:30PM3:00PM

    ResearchTrackSessionRT12:RecommendersII,ICCCapitalSuiteRoom9+10(Level3)

    LocalLatentSpaceModelsforTopNRecommendationEvangeliaChristakopoulou(UniversityofMinnesota);GeorgeKarypis(UniversityofMinnesota)

  • STAMP:ShortTermAttention/MemoryPriorityModelforSessionbasedRecommendationQiaoLiu(UniversityofScienceandTechnologyofChina);YifuZeng(UniversityofScienceandTechnologyofChina);RefuoeMokhosi(UniversityofScienceandTechnologyofChina);HaibinZhang(UniversityofScienceandTechnologyofChina)MultiUserMobileSequentialRecommendation:AnEfficientParallelComputingParadigmeyangYe(StonyBrookUniversity);LihaoZhang(StonyBrookUniversity);KeliXiao(StonyBrookUniversity);WenjunZhou(UniversityofTennesseeKnoxville);YongGe(UniversityofArizona);YuefanDeng(StonyBrookUniversity)TrajectorydrivenInfluentialBillboardPlacementPingZhang(WuhanUniversity);ZhifengBao(RMITUniversity);YuchenLi(SingaporeManagementUniversity);GuoliangLi(TsinghuaUniversity);YipengZhang(RMITUniversity);ZhiyongPeng(WuhanUniversity)OfflineEvaluationofRankingPolicieswithClickModelsShuaiLi(TheChineseUniversityofHongKong);YasinAbbasiYadkori(AdobeResearch);BranislavKveton(AdobeResearch);S.Muthukrishnan(RutgersUniversity);VishwaVinay(AdobeResearch);ZhengWen(AdobeResearch)xDeepFM:CombiningExplicitandImplicitFeatureInteractionsforRecommenderSystemsJianxunLian(UniversityofScienceandTechnologyofChina);XiaohuanZhou(BeijingUniversityofPostsandTelecommunications);FuzhengZhang(Microsoft);ZhongxiaChen(UniversityofScienceandTechnologyofChina);XingXie(Microsoft);GuangzhongSun(UniversityofScienceandTechnologyofChina)

    ResearchTrackSessionRT13:RepresentationandEmbeddingII,ICCCapitalSuiteRoom6+13(Level3)

    FindingSimilarExercisesinOnlineEducationSystemsQiLiu(UniversityofScienceandTechnologyofChina);ZaiHuang(UniversityofScienceandTechnologyofChina);ZhenyaHuang(UniversityofScienceandTechnologyofChina);ChuanrenLiu(DecisionSciencesandMISDepartment,DrexelUniversity);EnhongChen(UniversityofScienceandTechnologyofChina);YuSu(SchoolofComputerScienceandTechnology,AnhuiUniversity);GuopingHu(iFLYTEKResearch)ArbitraryOrderProximityPreservedNetworkEmbeddingZiweiZhang(TsinghuaUniversity);PengCui(TsinghuaUniversity);XiaoWang(TsinghuaUniversity);JianPei(SimonFraserUniversity);XuanrongYao(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)NetWalk:AFlexibleDeepEmbeddingApproachforAnomalyDetectioninDynamicNetworksWenchaoYu(UniversityofCalifornia,LosAngeles);WeiCheng(NECLabsAmerica);CharuAggarwal(IBM);KaiZhang(NEC);HaifengChen(NEC);WeiWang(UniversityofCalifornia,LosAngeles)HierarchicalTaxonomyAwareNetworkEmbeddingJianxinMa(TsinghuaUniversity);PengCui(TsinghuaUniversity);XiaoWang(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)DeepRecursiveNetworkEmbeddingwithRegularEquivalenceKeTu(TsinghuaUniversity);PengCui(TsinghuaUniversity);XiaoWang(TsinghuaUniversity);PhilipS.Yu(UniversityofIllinoisatChicago);WenwuZhu(TsinghuaUniversity)EmbeddingTemporalNetworkviaNeighborhoodFormationYuanZuo(BeihangUniversity);GuannanLiu(BeihangUniversity);HaoLin(BeihangUniversity);JiaGuo(BeihangUniversity);XiaoqianHu(BeihangUniversity);JunjieWu(BeihangUniversity)

  • AppliedDataScienceInvitedSessionAI3:DataScienceInfrastructure,ICCAuditorium(Level0)

    SysML:OnSystemandAlgorithmcodesignandAutomaticMachineLearningEricXing(CMUandPetuum)Algorithms,Data,HardwareandToolsaPerfectStormAlexSmola(AmazonWebService)Software2.0andSnorkel:BeyondHandLabeledDataChrisRe(StanfordUniversity)AppliedDataScienceInvitedPanel,ICCCapitalSuiteRoom8+11(Level3)WhoisaDataScientist?DefiningtheAnalyticsProfessionandCuttingOuttheHypeandConfusionPanelChair:UsamaFayyad(OODAHealthandOpenInsights)USA

    Wednesday3:30PM4:00PM,KDDCoffeeBreak,ICCCapitalHall(Level0)Wednesday4:00PM6:00PM

    ResearchTrackSessionRT14:SupervisedLearningII,ICCCapitalSuiteRoom8+11(Level3)

    StablePredictionacrossUnknownEnvironmentsKunKuang(TsinghuaUniversity);PengCui(TsinghuaUniversity);SusanAthey(StanfordUniversity);RuoxuanXiong(StanfordUniversity);BoLi(TsinghuaUniversity)ATreatmentEnginebyPredictingNextPeriodPrescriptionsBoJin(DalianUniversityofTechnology);HaoyuYang(DalianUniversityofTechnology);LeileiSun(TsinghuaUniversity);ChuanrenLiu(DrexelUniversity);YueQu(DalianUniversityofTechnology);JianingTong(TongjiUniversity)TrainingBigRandomForestswithLittleResourcesFabianGieseke(UniversityofCopenhagen);ChristianIgel(UniversityofCopenhagen)R2SDH:RobustRotatedSupervisedDiscreteHashingJieGui(RutgersUniversity);PingLi(RutgersUniversity)AdversarialDetectionwithModelInterpretationNinghaoLiu(TexasA&MUniversity);HongxiaYang(AlibabaGroup);XiaHu(TexasA&MUniversity)RiskPredictiononElectronicHealthcareRecordswithPriorMedicalKnowledgeFenglongMa(SUNYBuffalo);JingGao(SUNYBuffalo);QiulingSuo(SUNYBuffalo);QuanzengYou(MicrosoftAI&Research);JingZhou(EheathInc);AidongZhang(SUNYBuffalo)

    AppliedDataScienceTrackSessionADS5:Safety,ICCCapitalSuiteRoom9+10(Level3)

    Chair:MouniaLalmas

    UsingMachineLearningtoAssesstheRiskofandPreventWaterMainBreaks

  • AvishekKumar(UniversityofChicago);SyedAliAsadRizvi(UniversityofOxford);BenjaminBrooks(UniversityofChicago);R.AliVanderveld(ShopRunner);KevinH.Wilson(TheLabatDC);ChadKenney(CityofDenver,CO);SamEdelstein(CityofSyracuse,NY);AdriaFinch(CityofSyracuse,NY);AndrewMaxwell(CityofSyracuse,NY);JoeZuckerbraun(CityofSyracuse,NY);RayidGhani(UniversityofChicago)DetectingSpacecraftAnomaliesUsingLSTMsandNonparametricDynamicThresholdingKyleHundman(CaliforniaInstituteofTechnology);ValentinoConstantinou(CaliforniaInstituteofTechnology);ChristopherLaporte(CaliforniaInstituteofTechnology);IanColwell(CaliforniaInstituteofTechnology);TomSoderstrom(CaliforniaInstituteofTechnology)ExplainingAviationSafetyIncidentsUsingDeepTemporalMultipleInstanceLearningVijayManikandanJanakiraman(NASAAmesResearchCenter)ActiveRemediation:TheSearchforLeadPipesinFlint,MichiganJacobAbernethy(GeorgiaInstituteofTechnology&UniversityofMichigan);AlexChojnacki(UniversityofMichigan);AryaFarahi(UniversityofMichigan);EricSchwartz(UniversityofMichigan);JaredWebb(BrighamYoungUniversity)ADynamicPipelineforSpatioTemporalFireRiskPredictionBhavkaranSinghWalia(CarnegieMellonUniversity);QianyiHu(CarnegieMellonUniversity);JeffreyChen(CarnegieMellonUniversity);FangyanChen(CarnegieMellonUniversity);JessicaLee(CarnegieMellonUniversity);NathanKuo(CarnegieMellonUniversity);PalakNarang(CarnegieMellonUniversity);JasonBatts(PittsburghBureauofFire);GeoffreyArnold(Dept.ofInnovationandPerformance);MichaelMadaio(CarnegieMellonUniversity)

    ResearchTrackSessionRT15:SemisupervisedandTransferLearning,ICCCapitalSuiteRoom6+13(Level3)

    MultiviewAdversariallyLearnedInferenceforCrossdomainJointDistributionMatchingChangyingDu(InstituteofSoftware,ChineseAcademyofSciences);ChangdeDu(InstituteofAutomation,ChineseAcademyofSciences);XingyuXie(NanjingUniversityofAeronauticsandAstronautics);ChenZhang(Qihoo360SearchLab);HaoWang(Qihoo360SearchLab)LearningAdversarialNetworksforSemiSupervisedTextClassificationviaPolicyGradientYanLi(UniversityofMichigan);JiepingYe(UniversityofMichigan)ScalableActiveLearningbyApproximatedErrorReductionWeijieFu(HefeiUniversityofTechnology);MengWang(HefeiUniversityofTechnology);ShijieHao(HefeiUniversityofTechnology);XindongWu(UniversityofLouisianaatLafayette)LearningDynamicsofDecisionBoundarieswithoutAdditionalLabeledDataAtsutoshiKumagai(NTT);TomoharuIwata(NTT)TowardsMitigatingtheClassImbalanceProblemforPartialLabelLearningJingWang(SoutheastUniversity);MinLingZhang(SoutheastUniversity)

    Wednesday6:00PM7:00PM,KDDBusinessPresentation,ICCAuditorium(Level0)

    Wednesday7:00PM8:30PM,KDD2018Banquet,HallsN20N23

  • ThursdayAugust23,2018DetailedProgram

    Thursday7:00AM5:00PM,Registration,RegistrationDeskBoulevard(Level0)

    Thursday9:30AM6:00PM,SponsorRoomICCCapitalSuiteRoom5(Level3)

    Thursday9:30AM6:00PM,KDDExhibitHallICCCapitalHall(Level0)Thursday8:30AM12:00PM,HandsOnTutorial:IntroductiontoReinforcementLearningwithRayICCCapitalSuiteRoom2+3+4(Level3)Thursday8:30AM12:00PM,HandsOnTutorial:BuildingCustomDeepRecommendationEnginesICCCapitalSuiteRoom14+15+16(Level3)Tuesday8:00PM9:30PM,ICCAuditorium(Level0)

    KeynoteSession4:OnBigDataLearningforSmallDataProblems

    Speaker:YeeWhyeTeh,Professor,DepartmentofStatistics,UniversityofOxford;ResearchScientist,DeepMind

    Abstract: Much recent progress in machine learning have been fueled by the explosive growth in the amount and diversity of data available, and the computational resources needed to crunch through the data. This begs the question of whether machine learning systems necessarily need large amounts of data to solve a task well. An exciting recent development, under the banners of metalearning, lifelong learning, learning to learn, multitask learning etc., has been the observation that often there is heterogeneity within the data sets at hand, and in fact a large data set can be viewed more productively as many smaller data sets, each pertaining to a different task. For example, in recommender systems each user can be said to be a different task with a small associated data set, and in AI one holy grail is how to develop systemsthatcanlearntosolvenewtasksquicklyfromsmallamountsofdata.

    In such settings, the problem is then how to learn to learn quickly, by making use of similarities among tasks. One perspective for how this is achievable is that exposure to lots of previous tasks allows the system to learn a rich prior knowledge about the world in which tasks are sampled from, and it is with rich world knowledge that the system is able to solve new tasks quickly. This is a very active, vibrant and diverse area of research, with many different approaches proposed recently. In this talk I will describe a view of this problem from probabilistic and deep learning perspectives, anddescribeanumberofeffortsinthisdirectionthatIhaverecentlybeeninvolvedin.

    Thursday9:30AM10:00AM,KDDCoffeeBreak,ICCCapitalHall(Level0)

    Thursday10:00AM12:00PM

    ResearchTrackSessionRT16:UnsupervisedLearningI,ICCCapitalSuiteRoom8+11(Level3)

    TaxoGen:UnsupervisedTopicTaxonomyConstructionbyAdaptiveTermEmbeddingandClusteringChaoZhang(UniversityofIllinoisatUrbanaChampaign);FangboTao(Facebook);XiusiChen(UniversityofIllinoisatUrbanaChampaign);JiamingShen(UniversityofIllinoisatUrbanaChampaign);MengJiang(UniversityofNotreDame);BrianSadler(U.S.ArmyResearchLab);MichelleVanni(U.S.ArmyResearchLab);JiaweiHan(UniversityofIllinoisatUrbanaChampaign)DiscoveringNonRedundantKmeansClusteringsinOptimalSubspacesDominikMautz(LudwigMaximilianUniversityofMunich);WeiYe(LudwigMaximilianUniversityofMunich);ClaudiaPlant(UniversityofVienna);ChristianBhm(LudwigMaximilianUniversityofMunich)

  • ScalablekMeansClusteringviaLightweightCoresetsOlivierBachem(ETHZurich);MarioLucic(Google);AndreasKrause(ETHZurich)TextTruth:AnUnsupervisedApproachtoDiscoverTrustworthyInformationfromMultiSourcedTextDataHengtongZhang(SUNYatBuffalo);YaliangLi(BaiduResearch);FenglongMa(SUNYBuffalo);JingGao(UniversityatBuffalo);LuSu(TheStateUniversityofNewYorkatBuffalo)TruePIE:DiscoveringReliablePatternsinPatternBasedInformationExtractionQiLi(UniversityofIllinoisatUrbanaChampaign);MengJiang(UniversityofNotreDame);XikunZhang(UniversityofIllinoisatUrbanaChampaign);MengQu(UniversityofIllinoisatUrbanaChampaign);TimothyHanratty(USArmyResearchLaboratory);JingGao(UniversityatBuffalo);JiaweiHan(UniversityofIllinoisatUrbanaChampaign)AppliedDataScienceTrackSessionADS6:Texts,ImagesandVideos,ICCCapitalSuiteRoom9+10(Level3)

    Chair:ElenaBaralis

    CorpusConversionService:AMachineLearningPlatformtoIngestDocumentsatScale

    Peter W J Staar (IBM Research); Michele Dolfi (IBM Research); Christoph Auer (IBM Research); Costas Bekas(IBM

    Research)

    RareQueryExpansionThroughGenerativeAdversarialNetworksinSearchAdvertising

    MuChuLee(CarnegieMellonUniversity);BinGao(Microsoft);RuofeiZhang(Microsoft)

    CollaborativeDeepMetricLearningforVideoUnderstanding

    Joonseok Lee (Google AI Perception); Sami AbuElHaija (Google AI Perception); Balakrishnan Varadarajan (Google AI

    Perception);Apostol(Paul)Natsev(GoogleAIPerception)

    NameDisambiguationinAMiner:Clustering,Maintenance,andHumanintheLoop

    Yutao Zhang (Tsinghua University);Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang

    (TsinghuaUniversity)

    Rosetta:LargeScaleSystemforTextDetectionandRecognitioninImages

    FedorBorisyuk(FacebookInc.);AlbertGordo(FacebookInc.);ViswanathSivakumar(FacebookInc.)

    AppliedDataScienceTrackSessionADS7:MedicineandHealthcare,ICCCapitalSuiteRoom7+12(Level3)

    TATC:PredictingAlzheimer'sDiseasewithActigraphyDataJiaLi(TheChineseUniversityofHongKong);YuRong(TencentAILab);HelenMeng(TheChineseUniversityofHongKong);ZhihuiLu(TheChineseUniversityofHongKong);TimothyKwok(TheChineseUniversityofHongKong);HongCheng(TheChineseUniversityofHongKong)EstimatingGlaucomatousVisualSensitivityfromRetinalThicknesswithPatternBasedRegularizationandVisualizationHirokiSugiura(UniversityofTokyo);TaichiKiwaki(UniversityofTokyo);SiamakYousefi(UniversityofTennesseeHealthScienceCenter);HiroshiMurata(UniversityofTokyo);RyoAsaoka(UniversityofTokyo);KenjiYamanishi(UniversityofTokyo)AcceleratingPrototypeBasedDrugDiscoveryusingConditionalDiversityNetworksShaharHarel(TechnionIsraelInstituteofTechnology);KiraRadinsky(TechnionIsraelInstituteofTechnology)

  • ReleasingeHealthAnalyticsintotheWild:LessonsLearntfromtheSPHEREProjectTomDiethe(AmazonResearch);MikeHolmes(UniversityofBristol);(MeelisKull)UniversityofTartu;MiquelPerelloNieto(UniversityofBristol);KacperSokol(UniversityofBristol);HaoSong(UniversityofBristol);EmmaTonkin(UniversityofBristol);NiallTwomey(UniversityofBristol);PeterFlach(UniversityofBristol)DetectionofApathyinAlzheimerPatientsbyAnalysingVisualScanningBehaviourwithRNNsJonathanChung(UniversityofToronto);SarahA.Chau(SunnybrookResearchInstituteandUniversityofToronto);NathanHerrmann(SunnybrookResearchInstituteandUniversityofToronto);KristaL.Lanctt(SunnybrookResearchInstituteandUniversityofToronto);MosheEizenman(UniversityofToronto)

    ResearchTrackSessionRT17:MethodologyI,ICCCapitalSuiteRoom6+13(Level3)

    CountMin:OptimalEstimationandTightErrorBoundsusingEmpiricalErrorDistributionsDanielTing(TableauSoftware)MetricLearningfromProbabilisticLabelsMengdiHuai(StateUniversityofNewYorkatBuffalo);ChenglinMiao(StateUniversityofNewYorkatBuffalo);YaliangLi(BaiduResearchBigDataLab);QiulingSuo(StateUniversityofNewYorkatBuffalo);LuSu(StateUniversityofNewYorkatBuffalo);AidongZhang(StateUniversityofNewYorkatBuffalo)NewRobustMetricLearningModelUsingMaximumCorrentropyCriterionJieXu(UniversityofPittsburgh);LeiLuo(UniversityofPittsburgh);ChengDeng(XidianUniversity);HengHuang(UniversityofPittsburgh)AUnifiedApproachtoQuantifyingAlgorithmicUnfairness:MeasuringIndividual&GroupUnfairnessviaInequalityIndicesillSpeicher(MPISWS);HodaHeidari(ETHZurich);NinaGrgicHlaca(MPISWS);KrishnaP.Gummadi(MPISWS);AdishSingla(MPISWS);AdrianWeller(UniversityofCambridge);MuhammadBilalZafar(MPISWS)PCAbyDeterminantOptimizationhasnoSpuriousLocalOptimaRaphaelHauser(UniversityofOxford);ArminEftekhari(AlanTuringInstitute);HeinrichMatzinger(GeorgiaInstituteofTechnology)

    AppliedDataScienceInvitedSessionAI4:NovelApplications,ICCAuditorium(Level0)

    PlanetScaleLandCoverClassificationWithFPGAsJosephSirosh(Microsoft)DataScienceandEntertainmentProductionJenWalraven(Netflix)TheU.S.CensusBureauAdoptsDifferentialPrivacyJohnM.Abowd(UnitedStatesCensusBureau)

    Thursday12:00PM1:30PM,KDDLunch,ICCCapitalHall(Level0)

    Thursday 1:30PM 5:30PM Hands On Tutorial: Introduction to Reinforcement Learning with Ray ICC Capital Suite

    Room2+3+4(Level3)

    Thursday1:30PM3:00PM

  • ResearchTrackSessionRT18:UnsupervisedLearningII,ICCCapitalSuiteRoom8+11(Level3)

    SpectralClusteringofLargescaleDatabyDirectlySolvingNormalizedCutXiaojunChen(ShenzhenUniversity);WeijunHong(ShenzhenUniversity);FeipingNie(NorthwesternPolytechnicalUniversity);DanHe(ShenzhenUniversity);MinYang(ChineseAcademyofSciences);JoshuaZ.Huang(ShenzhenUniversity)MultiviewClusteringviaAdaptivelyWeightedProcrustesFeipingNie(NorthwesternPolytechnicalUniversity);LaiTian(NorthwesternPolytechnicalUniversity);XuelongLi(CenterforOPTIMAL,Xi'anInstituteofOpticsandPrecisionMechanics,ChineseAcademyofSciences)ScalableSpectralClusteringUsingRandomBinningFeaturesLingfeiWu(IBM);PinYuChen(IBM);IanEnHsuYen(CMU);FangliXu(CollegeofWilliam&Mary);YinglongXia(HuaweiResearch);CharuAggarwal(IBM)ModelbasedClusteringofShortTextStreamsJianhuaYin(SchoolofComputerScienceandTechnology,ShandongUniversity);DarenChao(SchoolofComputerScienceandTechnology,ShandongUniversity);ZhongkunLiu(SchoolofComputerScienceandTechnology,ShandongUniversity);WeiZhang(ShanghaiKeyLaboratoryofTrustworthyComputing,EastChinaNormalUniversity);XiaohuiYu(SchoolofComputerScienceandTechnology,ShandongUniversity);JianyongWang(TsinghuaUniversity)MiSoSouP:MiningInterestingSubgroupswithSamplingandPseudodimensionMatteoRiondato(TwoSigmaInvestments,LP);FabioVandin(UniversityofPadova)

    Applied Data Science Track Session ADS8: Natural Sciences, Sport, and the Application of Controlled Experiments, ICC

    CapitalSuiteRoom7+12(Level3)

    FalseDiscoveryRateControlledHeterogeneousTreatmentEffectDetectionforOnlineControlledExperimentsYuxiangXie(UniversityofWashington);NanyuChen(LinkedIn);XiaolinShi(SnapInc.)Winner'sCurse:BiasEstimationforTotalEffectsofFeaturesinOnlineControlledExperimentsMinyongR.Lee(Airbnb,Inc.);MilanShen(Airbnb,Inc.)AutomaticDiscoveryofTacticsinSpatioTemporalSoccerMatchDataTomDecroos(KULeuven);JanVanHaaren(SciSports);JesseDavis(KULeuven)UsingRuleBasedLabelsforWeakSupervisedLearningGarrettB.Goh(PacificNorthwestNationalLab(PNNL));CharlesSiegel(CrayInc.);AbhinavVishnu(AdvancedMicroDevicesInc.);NathanHodas(PacificNorthwestNationalLab(PNNL)) PrePePAToolfortheIdentificationandCharacterizationofPanAssayInterferenceCompoundsMaksimKoptelov(NormandieUniversit);AlbrechtZimmermann(NormandieUniversit);PascalBonnet(ICOA/UniversityofOrlans);RonanBureau(CERMN/UniversityofCaen);NormandyBruno(CrmilleuxNormandieUniversit)

    ResearchTrackSessionRT19:KnowledgeDiscovery,ICCCapitalSuiteRoom9+10(Level3)

    DynamicEmbeddingsforUserProfilinginTwitterShangsongLiang(KingAbdullahUniversityofScienceandTechnology);XiangliangZhang(KingAbdullahUniversityofScienceandTechnology);ZhaochunRen(JD.com);EvangelosKanoulas(UniversityofAmsterdam)

  • TINET:LearningInvariantNetworksviaKnowledgeTransferChenLuo(RiceUniversity);ZhengzhangChen(NECLaboratoriesAmerica);LuAnTang(NECLaboratoriesAmerica);AnshumaliShrivastava(RiceUniversity);ZhichunLi(NECLaboratoriesAmerica);HaifengChen(NECLaboratoriesAmerica);JiepingYe(UniversityofMichigan)CanWhoEditsWhatPredictEditSurvivalAliBatuhanYardm(BilkentUniversity);VictorKristof(EcolePolytechniqueFdraledeLausanne);LucasMaystre(EcolePolytechniqueFdraledeLausanne);MatthiasGrossglauser(EcolePolytechniqueFdraledeLausanne)AnEfficientTwoLayerMechanismforPrivacyPreservingTruthDiscoveryYaliangLi(BaiduResearch);ChenglinMiao(SUNYBuffalo);LuSu(SUNYBuffalo);JingGao(SUNYBuffalo);QiLi(UniversityofIllinoisatUrbanaChampaign);BolinDing(Microsoft);ZhanQin(SUNYBuffalo);KuiRen(SUNYBuffalo)GeneralizedScoreFunctionsforCausalDiscoveryBiweiHuang(CarnegieMellonUniversity);KunZhang(CarnegieMellonUniversity);YizhuLin(CarnegieMellonUniversity);BernhardSchlkopf(MaxPlanckInstituteforIntelligentSystems);ClarkGlymour(CarnegieMellonUniversity)RVQA:LearningVisualRelationFactswithSemanticAttentionforVisualQuestionAnsweringPanLu(TsinghuaUniversity);LeiJi(Microsoft);WeiZhang(EastChinaNormalUniversity);NanDuan(Microsoft);MingZhou(Microsoft);JianyongWang(TsinghuaUniversity)

    ResearchTrackSessionRT20:MethodologyII,ICCCapitalSuiteRoom6+13(Level3)

    LearningandInterpretingComplexDistributionsinEmpiricalDataChengxiZang(TsinghuaUniversity);PengCui(TsinghuaUniversity);WenwuZhu(TsinghuaUniversity)SequencesofSetsAustinBenson(CornellUniversity);RaviKumar(Google);AndrewTomkins(Google)DataDiff:Interpretable,ExecutableSummariesofChangesinDistributionsforDataWranglingCharlesSutton(TheUniversityofEdinburgh);TimothyHobson(TheAlanTuringInstitute);JamesGeddes(TheAlanTuringInstitute);RichCaruana(Microsoft)ConcentratedDifferentiallyPrivateGradientDescentwithAdaptiveperIterationPrivacyBudgetJaewooLee(UniversityofGeorgia);DanielKifer(ThePennsylvaniaStateUniversity)FAHES:ARobustDisguisedMissingValuesDetectorMouradOuzzani(QatarComputingResearchInstitute,HBKU);NanTang(QatarComputingResearchInstitute,HBKU);AhmedElmagarmid(QatarComputingResearchInstitute,HBKU);RaulCastroFernandez(CSAILMIT);AbdulhakimA.Qahtan(QatarComputingResearchInstitute,HBKU)HeavyGuardian:SeparateandGuardHotItemsinDataStreamsTongYang(PekingUniversity);JunzhiGong(PekingUniversity);HaoweiZhang(PekingUniversity);LeiZou(PekingUniversity);LeiShi(SKLCS,InstituteofSoftware,ChineseAcademyofSciences);XiaomingLi(PekingUniversity)

    Thursday4:00PM5:00PM,KDDClosingSession,ICCAuditorium(Level0)

  • KDD2018ConferenceOrganization

    KDD2018OrganizingCommittee

    GeneralChairs

    YikeGuo,ImperialCollegeLondon

    FaisalFarooq,IBM

    AssociateChair

    JieTang,TsinghuaUniversity

    ResearchTrackPCChairs

    ChihJenLin,NationalTaiwanUniversity

    HuiXiong,RutgersUniversity/Baidu

    AppliedDataScienceTrackPCChairs

    AndreiBroder,Google

    MyraSpiliopoulou,OttovonGuerickeUniversityMagdeburg

    LocalChairs

    KaiSun,ImperialCollegeLondon

    DouglasMcilwraith,ImperialCollegeLondon

    TutorialChairs

    LemanAkoglu,CMU

    IanDavidson,UniversityofCalifornia,Davis

    PanelChairs

    ClaudiaPerlich,TwoSigma

    DouShen,Baidu

    WorkshopChairs

    NiteshChawla,UniversityofNotreDame

    JunHuan,Baidu

    AppliedDataScienceInvitedTalkChairs

    DeepakAgarwal,LinkedIn

    JohannesGehrke,Microsoft

    AppliedDataScienceInvitedPanelChair

    UsamaFayyad,OpenInsights

    DeepLearningDayChairs

    AnimaAnandkumar,Caltech

    JureLeskovec,Stanford/Pinterest

    JoanBruna,NYU

    MediaandPublicityChairs

    TianruiLi,SouthwestJiaotongUniversity

    PingZhang,IBM

    AldoFaisal,ImperialCollegeLondon

    SponsorshipChairs

    YuZheng,Microsoft

    BalajiKrishnapuram,IBM

    ShipengYu,IBM

    ProjectShowcaseChairs

  • JamesHodson,JozefStefanInstitute

    DunjaMladenic,JozefStefanInstitute

    WebChair

    DerekYoung,Amazon

    SocialNetworkingChairs

    XiaBenHu,TexasA&MUniversity

    XiaoguangWang,Alibaba

    ProceedingsChairs

    RmerRosales,LinkedIn

    JiliangTang,MichiganStateUniversity

    KDDCupChairs

    RonBekkerman,UniversityofHaifa

    HangZhang,Microsoft

    JeongYoonLee,Microsoft

    TestofTimeAwardChair

    ClaudiaPerlich,TwoSigma

    DissertationAwardChair

    GeorgeKarypis,UniversityofMinnesota

    SpecialEventChair

    OonaghMcGee,AlanTuringInstitute

    StudentTravelAwardsChair

    WeiWang,UniversityofCalifornia,LosAngeles

    FinanceChairs

    DianaOMalley,ImperialCollegeLondon

    TedSenator,NGA/Research

    SocialImpactChairs

    RayidGhani,UniversityofChicago

    MohakShah,BoschResearch

    VideoandStreamingChair

    MarkoGrobelnik,JozefStefanInstitute

    BestPaperChairs

    CharlesElkan,UCSanDiego

    YehudaKoren,Google

    PosterChairs

    ChandanReddy,VirginiaTech

    HanghangTong,ArizonaStateUniversity

    JobMatchingChair

    DerekYoung,Amazon

    HandsonTutorialChairs

    RitwikKumar,Netflix

    LeiLi,ByteDance

    StartupAwardChair

    XingXie,Microsoft

    PublicRelationshipsChair

    PingHuang,ImperialCollegeLondon

  • ResearchTrackSeniorProgramCommitteeCharuAggarwal IBMJamesBailey TheUniversityofMelbourneMichaelBerthold UniversityofKonstanzAlbertBifet LTCITelecomParisTechFrancescoBonchi TheISIFoundation,Turin,ItalyHenrikBostrm KTHRoyalInstituteofTechnologyUlfBrefeld LeuphanaUniversittLneburgJamesCaverlee TexasA&MUniversitySanjayChawla QatarComputingResearchInstitute(QCRI)EnhongChen UniversityofScienceandTechnologyofChinaLeiChen TheHongKongUniversityofScienceandTechnologyYixinChen WashingtonUniversityinSt.LouisDianeCook WashingtonStateUniversityJesseDavis KatholiekeUniversiteitLeuvenCarlottaDomeniconi GeorgeMasonUniversityMartinEster SimonFraserUniversityJohannes,Frnkranz TUDarmstadtChristosFaloutsos CarnegieMellonUniversityPeterFlach UniversityofBristolJoaoGama UniversityofPortoJingGao UniversityatBuffaloFoscaGiannotti ISTICNRBartGoethals UniversityofAntwerpJiaweiHan UniversityofIllinoisatUrbanaChampaignGeoffreyHolmes UniversityofWaikatoShuiwangJi WashingtonStateUniversityKristianKersting TUDarmstadtYehudaKoren GoogleHangLi BytedanceAILabZhenhuiJessieLi ThePennsylvaniaStateUniversityEePengLim SingaporeManagementUniversityJimmyLin UniversityofWaterlooBingLiu UniversityofIllinoisatChicagoYanLiu UniversityofSouthernCaliforniaJieboLuo RochesterUniversityQiaozhuMei UniversityofMichiganKatharinaMorik TUDortmundJenniferNeville PurdueUniversityZoranObradovic TempleUniversityJianPei SimonFraserUniversityBernhardPfahringer UniversityofWaikatoNarenRamakrishnan VirginiaTechSanjayRanka UniversityofFloridaSteffenRendle GoogleD.Sculley GoogleShashiShekhar UniversityofMinnesotaKyuseokShim SeoulNationalUniversityVikasSindhwani Google

  • PangNingTan MichiganStateUniversityDachengTao TheUniversityofSydneyEvimariaTerzi BostonUniversityVolkerTresp SiemensAGandLMUAlexanderTuzhilin NewYorkUniversityJianyongWang TsinghuaUniversityKeWang SimonFraserUniversityWeiWang UniversityofCaliforniaLosAngelesTakashiWashio ISIROsakaUniv.StefanWrobel FraunhoferIAIS&Univ.ofBonnWeiliWu DeptofComputerScienceUniversityofTexasatDallasXintaoWu UniversityofArkansasXifengYan UniversityofCaliforniaatSantaBarbaraQiangYang TheHongKongUniversityofScienceandTechnologyJeffreyXuYu TheChineseUniversityofHongKongPhilipYu UniversityofIllinoisatChicagoOsmarR.Zaiane UniversityofAlbertaMohammedZaki RensselaerPolytechnicInstituteAidongZhang StateUniversityofNewYorkatBuffaloZhiHuaZhou NanjingUniversityXingquanZhu FloridaAtlanticUniversity

    AppliedDataScienceTrackSeniorProgramCommitteeIraAssent AarhusUniversityRicardoBaezaYates NTENT&NortheasternUniversityElenaBaralis PolitecnicodiTorinoTanyaBergerWolf UniversityofIllinoisatChicagoMicheleBerlingerio IBMMichelangeloCeci UniversitdegliStudidiBariFlavioChierichetti SapienzaUniversityofRomeEdithCohen GoogleBrianDalessandro ZocdocKamalikaDas NASARayidGhani UniversityofChicagoSreenivasGollapudi GoogleVanjaJosifovski PinterestDragiKocev JozefStefanInstituteTamaraKolda SandiaNationalLaboratoriesRaviKumar GoogleMouniaLalmas SpotifyLianeLewin AmazonResearchYoelleMaarek AmazonResearchErnestinaMenasalvas UniversidadPolitcnicadeMadridDunjaMladenic JozefStefanInstituteOlfaNasraoui UniversityofLouisvilleNuriaOliver VodafoneResearchThemisPalpanas ParisDescartesUniversityClaudiaPerlich DstilleryMohakShah LGElectronicsSandeepTata Google

  • MaguelonneTeisseire IrsteaUMRTetisYanaVolkovich AppNexus

    ResearchTrackProgramCommittee

    NesreenAhmed IntelLemanAkoglu CarnegieMellonUniversityTimAlthoff StanfordUniversityAijunAn YorkUniversityAnnalisaAppice UniversityAldoMoroofBariGowthamAtluri UniversityofCincinnatiMartinAtzmueller TilburgUniversityKlemensBhm KarlsruheInstituteofTechnologyTonyBagnall UniversityofEastAngliaForrestBao IowaStateUniversitySenjutiBasuRoy NewJerseyInstituteOfTechnologyGustavoBatista UniversityofSoPauloChristianBauckhage FraunhoferLucaBecchetti SapienzaUniversityofRomeRonBekkerman UniversityofHaifaAndrasA.Benczur HungarianAcademyofSciencesAustinBenson CornellUniversityMicheleBerlingerio IBMAlexBeutel GoogleKanishkaBhaduri AppleIncJinboBi UniversityofConnecticutCarstenBinnig TUDarmstadtPetkoBogdanov UniversityatAlbanySUNYDuBowen BeihangUniversityPavelBrazdil UniversityofPortoIvanBrugere UniversityofIllinoisatChicagoDavidButtler LLNLRajmondaCaceres MassachusettsInstituteofTechnologyDengCai ZhejiangUniversityToonCalders UniversiteitAntwerpenB.BarlaCambazoglu NTENTInc.IvnCantador UniversidadAutnomadeMadridHuipingCao NewMexicoStateUniversityJianCao ShanghaiJiaoTongUniversityLongbingCao UniversityofTechnologySydneyXiaochunCao ChineseAcademyofSciencesLiciaCapra UniversityCollegeLondonMarkCarman MonashUniversityCarlosCastillo UniversitatPompeuFabraAniketChakrabarti MicrosoftShayokChakraborty FloridaStateUniversityJeffreyChan RMITUniversityEdwardChang HTCResearchKevinChang UniversityofIllinoisatUrbanaChampaignShiyuChang IBMYiChang HuaweiResearchAmerica

  • W.ArtChaovalitwongse UniversityofArkansasFayettevilleDuenHorngChau GeorgiaInstituteofTechnologyNiteshV.Chawla UniversityofNotreDameBeeChungChen LinkedInChienYuChen NationalTaiwanUniversityFengChen UniversityatAlbanySUNYHuanhuanChen UniversityofSciandTechnologyofChinaSongqingChen GeorgeMasonUniversityWeiChen MicrosoftWenlinChen FacebookHongCheng TheChineseUniversityofHongKongJianCheng ChineseAcademyofSciencesReynoldCheng TheUniversityofHongKongEdH.Chi GoogleAlvinChin BMWGroupPeterChristen TheAustralianNationalUniversityLingyangChu SimonFraserUniversityKunTaChuang NationalChengKungUniversityGaoCong NanyangTechnologicalUniversityJamesCook GooglePaoloCremonesi PolitecnicodiMilanoBinCui PekingUniversityPengCui TsinghuaUniversityBorisCule UniversityofAntwerpAlfredoCuzzocrea ICARCNRandUniversityofCalabriaMahashwetaDas VisaResearchAnirbanDasgupta IITGandhinagarPrafullaDawadi IBMTijlDeBie GhentUniversityGianmarcoDeFrancisciMorales QatarComputingResearchInstituteDaveDebarr MicrosoftAlexDeng MicrosoftChengDeng XidianUniversityHongboDeng GoogleTomDiethe AmazonBistraDilkina UniversityofSouthernCaliforniaBolinDing AlibabaGroupHuDing MichiganStateUniversityWeiDing UniversityofMassachusettsBostonCarlosDiuk FacebookGuozhuDong WrightStateUniversityYuxiaoDong MicrosoftJanaDoppa WashingtonStateUniversityDejingDou UniversityofOregonGideonDror TheAcademicCollegeofTelAvivYaffoBoDu WuhanUniversityDevdattDubhashi ChalmersUniversityofTechnologyWouterDuivesteijn EindhovenUniversityofTechnologySasoDzeroski JozefStefanInstituteTapioElomaa TampereUniversityofTechnologyAlessandroEpasto Google

  • DoraErdos BostonUniversityAlexFabrikant GoogleHuaFang UniversityofMassachusettsDartmouthAlexanderFelfernig GrazUniversityofTechnologyElenaFerrari UniversityofInsubriaCesarFerri UniversitatPolitcnicadeValnciaAdaWaiCheeFu TheChineseUniversityofHongKongYanjieFu MissouriUniversityofSciandTechnologyNicoGrnitz TUBerlinStephan,Gnnemann TechnicalUniversityofMunichEstherGalbrun AaltoUniversityBrianGallagher LawrenceLivermoreNationalLaboratoryBinGao MicrosoftByronGao TexasStateUniversityTianshiGao FacebookWeiGao NanjingUniversityJacobGardner CornellUniversityYongGe UniversityofArizonaJohannesGehrke MicrosoftHassanGhasemzadeh WashingtonStateUniversityRumiGhosh RobertBoschLLCAristidesGionis AaltoUniversityTobiasGlasmachers InstitutfrNeuroinformatikDavidGleich PurdueUniversityManuelGomezRodriguez MPIforSoftwareSystemsNeilGong IowaStateUniversityBinGu UniversityofPittsburghQuanquanGu UniversityofVirginiaFrancescoGullo UniCreditKrishnaGummadi MPISWSJiafengGuo InstituteofComputingTechnologyManishGupta MicrosoftAlexanderGutfraind UofIllinoisChicagoWookShinHan POSTECHYuanHao GoogleSatoshiHara OsakaUniversityJingruiHe ArizonaStateUniversityLifangHe CornellUniversityQiHe LinkedInXiangnanHe NationalUniversityofSingaporeXiaofengHe EastChinaNormalUniversityJoseHernandezOrallo UniversitatPolitcnicadeValnciaJaakko,Hollmn AaltoUniversityLiangjieHong EtsyInc.MahmudShahriarHossain UniversityofTexasatElPasoVagelisHristidis UCRiversideChoJuiHsieh UniversityofCaliforniaDavisHsunPingHsieh NationalChengKungUniversityChunNanHsu UniversityofCaliforniaSanDiegoTianranHu UniversityofRochesterXiaBenHu TexasA&MUniversity

  • LukeHuan BaiduHengHuang UniversityofPittsburghShengJunHuang NUAAShuaiHuang UniversityofWashingtonXinHuang HongKongBaptistUniversityXuanjingHuang FudanUniversitySeungWonHwang YonseiUniversityTomoharuIwata NTTMohsenJamali TheUniversityofBritishColumbiaDietmarJannach AAUKlagenfurtSzymonJaroszewicz PolishAcademyofSciencesDavidJensen UniversityofMassachusettsAmherstMengJiang UniversityofNotreDameZheJiang theUniversityofAlabamaBoJin DalianUniversityofTechnologyFangJin TexasTechUniversityHongxiaJin SamsungElectronicsRuomingJin KentStateUniversityWenJin IndependentResearcherXiaomingJin TsinghuaUniversityAlipioM.Jorge UniversityofPortoArndChristian,Knig MicrosoftVanaKalogeraki AthensUniversityofEconomicsandBusinessJaapKamps UniversityofAmsterdamBhargavKanagal GoogleUKang SeoulNationalUniversityRamakrishnanKannan OakRidgeNationalLaboratoryMuratKantarcioglu TheUniversityofTexasatDallasSanjivKapoor IllinoisInstituteofTechnologyAlexandrosKaratzoglou TelefonicaResearchAnujKarpatne UniversityofMinnesotaGeorgeKarypis UniversityofMinnesotaHisashiKashima KyotoUniversity/RIKENShivaKasiviswanathan AmazonAWSAIYoshinobuKawahara OsakaUniversityMehdiKaytoue InfologicEamonnKeogh UCRiversideLatifurKhan UTDEmreKiciman MicrosoftMariusKloft TUKaiserslauternDeguangKong YahooResearchXiangnanKong WorcesterPolytechnicInstituteLarsKotthoff UniversityofWyomingNickKoudas UniversityofTorontoNicolasKourtellis TelefonicaResearchDanaiKoutra UniversityofMichiganStefanKramer JohannesGutenbergUniversityMainzRuiKuang UniversityofMinnesotaTwinCitiesMeelisKull UniversityofTartuSrijanKumar StanfordUniversityNicolasLachiche UniversityofStrasbourg

  • WaiLam TheChineseUniversityofHongKongTheodorosLappas StevensInstituteofTechnologyNealLathia MonzoSilvioLattanzi GoogleKristenLefevre GoogleKristinaLerman UniversityofSouthernCaliforniaChengTeLi NationalChengKungUniversityChengkaiLi UniversityofTexasatArlingtonGuoliangLi TsinghuaUniversityJiangLi OldDominionUniversityJuanziLi TsinghuaUniversityJundongLi ArizonaStateUniversityLiangyueLi ArizonaStateUniversityMingLi NanjingUniversityQingLi CityUniversityofHongKongRongHuaLi BeijingInstituteofTechnologyShengLi AdobeResearchWuJunLi NanjingUniversityXiaoLinLi NanjingUniversityXiaoliLi InstituteforInfocommResearchYaliangLi TencentAmericaYangLi GoogleYufengLi NanjingUniversityZhenguoLi HuaweiZhongmouLi FacebookDefuLian UniversityofScienceandTechnologyofChinaBangyongLiang GoogleEdoLiberty AmazonJefreyLijffijt GhentUniversityHsuanTienLin NationalTaiwanUniversityJessicaLin GeorgeMasonUniversityShouDeLin NationalTaiwanUniversityXueminLin TheUniversityofNewSouthWalesYuRuLin UniversityofPittsburghCharlesLing UniversityofWesternOntarioBinLiu IBMTJWatsonResearchCenterChuanrenLiu DrexelUniversityGuannanLiu BeihangUniversityGuimeiLiu InstituteforInfocommResearchHuanLiu ArizonaStateUniversityQiLiu UniversityofSciandTechnologyofChinaTongliangLiu TheUniversityofSydneyWeiLiu TencentAILabWeiLiu UniversityofTechnologySydneyYongLiu NTUCLinkPteLtd,SingaporeDavidLo SingaporeManagementUniversityMingshenLong TsinghuaUniversityChangTienLu VirginiaTechDijunLuo TencentAILabYongLuo NanyangTechnologicalUniversityEmmanuel,Mller HassoPlattnerInstitute

  • RichardMaclin UniversityofMinnesotaArunMaiya InstituteforDefenseAnalysesHiroshiMamitsuka KyotoUniversity/AaltoUniversityYasukoMatsubara KumamotoUniversityCharalamposMavroforakis BostonUniversityJulianMcauley UniversityofCaliforniaSanDiegoRyanMcbride SimonFraserUniversityWagnerMeiraJr. UniversidadeFederaldeMinasGeraisJooMendesMoreira UniversityofPortoWeiyiMeng BinghamtonUniversityLucasMentch UniversityofPittsburghPauliMiettinen MaxPlanckInstituteforInformaticsPrasenjitMitra ThePennsylvaniaStateUniversityDunjaMladenic JozefStefanInstituteMarieFrancineMoens KatholiekeUniversiteitLeuvenSebastianMoreno UniversidadAdolfoIbaezAbdullahMueen UniversityofNewMexicoSathappanMuthiah VirginiaTechMircoNanni KDDLabISTICNRPisaAmedeoNapoli LORIANancy,FranceFrancoMariaNardini ISTICNRSriraamNatarajan IndianaUniversityBloomingtonRaymondNg TheUniversityofBritishColumbiaWilfredNg TheHongKongUniversityofSciandTechXiaNing IUPUIEiriniNtoutsi LeibnizUniversityofHanoverTimOates UniversityofMarylandBaltimoreCountyMatthewOtey GoogleGerhardPaass FraunhoferTapioPahikkala UniversityofTurkuAmichaiPainsky TheHebrewUniversityofJerusalemAdityaPal PinterestThemisPalpanas TBDRongPan SunYatsenUniversityWeikePan ShenzhenUniversitySpirosPapadimitriou RutgersUniversityEvangelosPapalexakis UniversityofCaliforniaRiversidePanagiotisPapapetrou StockholmUniversityRajeshParekh GoogleLaurencePark WesternSydneyUniversityVladimirPavlovic RutgersUniversityWenChihPeng NationalChiaoTungUniversityBryanPerozzi GoogleDinhPhung MonashUniversityNicoPiatkowski AIGroup,TUDortmundAskePlaat LeidenUniversityClaudiaPlant UniversityofViennaB.AdityaPrakash VirginiaTechRonaldoPrati UniversidadeFederaldoABCUFABCRicardoPrudencio InformaticsCenter,UFPEGuoJunQi UniversityofCentralFlorida

  • BuyueQian Xi'anJiaotongUniversityTaoQin MicrosoftChedyRassi INRIAGaneshRamakrishnan IITBombayHuzefaRangwala GeorgeMasonUniversitySayanRanu IITDelhiJinfengRao UniversityofMarylandS.S.Ravi UniversityatAlbanySUNYChandanK.Reddy VirginiaTechXiangRen UniversityofSouthernCaliforniaChiaraRenso ISTICNRPisa,ItalyBrunoRibeiro PurdueUniversityFrancescoRicci FreeUniversityofBozenBolzanoMatteoRiondato TwoSigmaInvestments,LPCelineRobardet INSALyonMarkoRobnikSikonja UniversityofLjubljanaSalvatoreRuggieri DipartimentodiInformatica,UniversitadiPisaElkeRundensteiner WorcesterPolytechnicInstituteYasushiSakurai KumamotoUniversityRaulSantosRodriguez UniversityofBristolMariaLuisaSapino Universit'diTorinoA.Erdem,Saryce UniversityatBuffaloTamasSarlos GoogleRalfSchenkel TrierUniversityLarsSchmidtThieme UniversityofHildesheimAssafSchuster TechnionYingShan MicrosoftHuaweiShen ChineseAcademyofScienceWeiShen NankaiUniversityYiDongShen theChineseAcademyofSciencesVictorSheng UniversityofCentralArkansasChuanShi BeijingUniversityofPostsandTelecommunicationsGyorgySimon UniversityofMinnesotaAmbujSingh UniversityofCalifornia,SantaBarbaraSameerSingh UniversityofCalifornia,IrvineKaushikSinha WichitaStateUniversityKevinSmall AmazonLeSong GeorgiaInstituteofTechnologyShaoxuSong TsinghuaUniversityYangqiuSong TheHongKongUniversityofSciandTechSuchetaSoundarajan SyracuseUniversityMauroSozio TlcomParisTechHaraldSteck NetflixW.NickStreet TheUniversityofIowaLuSu TheStateUniversityofNewYorkatBuffaloYuSu UniversityofCaliforniaSantaBarbaraL.VenkataSubramaniam IBMResearchIndiaMahitoSugiyama NationalInstituteofInformaticsJianTaoSun MicrosoftYizhouSun UniversityofCalifornia,LosAngelesZhaonanSun IBM

  • EinoshinSuzuki KyushuUniversityAdithSwaminathan MicrosoftMarcinSydow PJIITandICSPAS,WarsawAndreaTagarelli DIMES,UniversityofCalabriaRikiyaTakahashi ManAHLIchiroTakeuchi NagoyaInstituteofTechnology/RIKENAIPChenhaoTan UniversityofColoradoBoulderJiliangTang MichiganStateUniversityLuAnTang NECLabsAmericaYufeiTao TheChineseUniversityofHongKongNikolajTatti AaltoUniversityAlexThomo UniversityofVictoriaJileiTian BMWTechnologyCorporationChicagoYonghongTian PekingUniversityKaiMingTing FederationUniversityAustraliaHanghangTong ArizonaStateUniversityPanayiotisTsaparas UniversityofIoanninaVincentTseng NationalChiaoTungUniversityGrigoriosTsoumakas AristotleUniversityofThessalonikiCharalamposTsourakakis HarvardUniversityNiallTwomey UniversityofBristolAnttiUkkonen UniversityofHelsinkiMatthijsvanLeeuwen LeidenUniversityKushVarshney IBMThomasJWatsonResearchCenterSergeiVassilvitskii GoogleRangaRajuVatsavai NorthCarolinaStateUniversityMichailVlachos IBMJillesVreeken MaxPlanckInst.forInformatics/SaarlandUniversitySlobodanVucetic TempleUniversityCanWang ZhejiangUniversityChiWang MicrosoftChonggangWang InterDigitalCommunicationsDongWang UniversityofNotreDameFeiWang CornellUniversityGuanWang NioAutomotiveHaishuaiWang HarvardUniversityHaoWang 360SearchHongningWang UniversityofVirginiaHongzhiWang HarbinInstituteofTechnologyJiannanWang SimonFraserUniversityJieWang UniversityofSciandTechnologyofChinaJingyuanWang BeihangUniversityLidanWang UniversityofMarylandQuanWang ChineseAcademyofSciencesShengruiWang UniversityofSherbrookeTingWang LehighUniversityWilliamYangWang UniversityofCalifornia,SantaBarbaraXiangWang GoogleXiangjunWang NetflixXiaoqianWang UniversityofPittsburghZhongyuanWang Facebook

  • IngmarWeber QatarComputingResearchInstituteZhiWei NJITGerhardWeikum MaxPlanckInstituteforInformaticsJiRongWen RenminUniversityofChinaTimWeninger UniversityofNotreDameJennaWiens UniversityofMichiganRanWolff YahooResearch,OathRaymondChiWingWong TheHongKongUniversityofSciandTechHaishanWu SenSight.aiJiaWu MacquarieUniversityJunjieWu BeihangUniversityLiangWu ArizonaStateUniversityLingfeiWu IBMResearchAIWeiWu MicrosoftXindongWu MiningLampSoftwareSystems,ChinaYinghuiWu WashingtonStateUniversityYinglongXia HuaweiResearchAmericaRongjingXiang GoogleKeliXiao StonyBrookUniversityXiaokuiXiao NationalUniversityofSingaporeYanghuaXiao FudanUniversitySihongXie LehighUniversityXingXie MicrosoftChenyanXiong CarnegieMellonUniversityChangXu TheUniversityofSydneyJianXu AlibabaGroupJianpengXu eBay.IncLinliXu UniversityofSciandTechnologyofChinaTongXu UniversityofSciandTechnologyofChinaXiaoweiXu UniversityofArkansas,LittleRockTakeshiYamada NTTKeisukeYamazaki AISTDeNianYang AcademiaSinicaHongxiaYang AlibabaGroupLiuYang UniversityofMassachusettsAmherstPeilinYang TwitterInc.SenYang AlibabaGroupShuangYang AntFinancialTaoYang UniversityofCaliforniaatSantaBarbaraTianbaoYang UniversityofIowaYangYang ZhejiangUniversityYuYang SimonFraserUniversityYuanYao NanjingUniversityYanfangYe WestVirginiaUniversityMiYenYeh AcademiaSinicaJianhuaYin ShandongUniversityJieYin TheUniversityofSydneyQuanzengYou MicrosoftDantongYu NewJerseyInstituteofTechnologyHsiangFuYu AmazonHwanjoYu POSTECH

  • LinyunYu BytedanceIncYangYu NanjingUniversityNicholasJingYuan MicrosoftRezaZafarani SyracuseUniversityNayyarZaidi MonashUniversityCarloZaniolo UniversityofCalifornia,LosAngelesDeChuanZhan NanjingUniversityAstonZhang AmazonAIBaichuanZhang FacebookChaoZhang UniversityofIllinoisatUrbanaChampaignDanZhang FacebookDuoZhang KunlunInc.JiaweiZhang FloridaStateUniversityKunZhang CarnegieMellonUniversityKunpengZhang UniversityofMarylandLefeiZhang WuhanUniversityLijunZhang NanjingUniversityLuZhang UniversityofArkansasMinLingZhang SoutheastUniversityNanZhang ThePennsylvaniaStateUniversityPengZhang AntFinancial,AlibabaPingZhang IBMRuiZhang IBMShichaoZhang GuangxiNormalUniversityTengZhang NJUWeiZhang EastChinaNormalUniversityXiZhang CornellUniversityXianchaoZhang DalianUniversityofTechnologyXiangZhang ThePennsylvaniaStateUniversityXiangliangZhang KingAbdullahUniversityofSciandTechXuchaoZhang VirginiaTechYaZhang ShanghaiJiaoTongUniversityYongfengZhang RutgersUniversityZhaojunZhang CourseraBoZhao PinterestLiangZhao GeorgeMasonUniversityPeixiangZhao FloridaStateUniversityZhouZhao ZhejiangUniversityKaiZheng UniversityofSciandTechnologyofChinaVincentW.Zheng AdvancedDigitalSciencesCenterYuZheng JDFinanceAoyingZhou EastChinaNormalUniversityDaweiZhou ArizonaStateUniversityJiayuZhou MichiganStateUniversityWenjunZhou UniversityofTennesseeKnoxvilleXiaofangZhou TheUniversityofQueenslandYangZhou AuburnUniversityChenZhu BaiduTalentIntelligenceCenterFeidaZhu SingaporeManagementUniversityHengshuZhu BaiduInc.WenwuZhu TsinghuaUniversity

  • FuzhenZhuang ChineseAcademyofSciencesAlbrechtZimmermann UniversitCaenNormandieUniversityMarinkaZitnik StanfordUniversityGuobingZou ShanghaiUniversity

    AppliedDataScienceTrackProgramCommitteeTalelAbdessalem ParisTechNaokiAbe IBMEvrimAcar SimulaResearchLabPuneetAgarwal TCSResearchJohnMarkAgosta MicrosoftAzureAmrAhmed GoogleAzinAshkan GoogleRenatoAssuncao UFMGNicolaBarbieri SchibstedMarketplacesRohanBaxter ATOMichaelBendersky GoogleCharlieBerger OracleCorporationSmritiBhagat FacebookSiddharthaBhattacharyya UniversityofIllinois,ChicagoJiangBian MicrosoftAlexisBondou OrangeLabsRajeshBordawekar IBMTilmannBruckhaus InstrumentalJoseCadena LawrenceLivermoreNationalLaboratoryMicheleCatasta StanfordUniversityTaniaCerquitelli PolitecnicodiTorinoDianeChang IntuitVineetChaoji AmazonZhengzhangChen NorthwesternUniversitySilviaChiusano PolitecnicodiTorinoChristopheClaramunt NavalAcademyResearchInstituteJuanColmenares LinkedInPhilippeCudreMauroux U.ofFribourgHanjunDai GeorgiaInstituteofTechnologyMahashwetaDas VisaResearchPujaDas AppleInc.GianlucaDemartini TheUniversityofQueenslandAyhanDemiriz GebzeTechnicalUniversitySauptikDhar RobertBoschDjellelDifallah NYUNemanjaDjuric UberATGZhenhuaDong Noah'sarklab,HuaweiTechnologiesNanDu GoogleNurcanDurak RocketFuelShobeirFakhrei UniversityofSouthernCaliforniaLiyueFan UniversityatAlbany,SUNYLucaFoschini EvidationHealthDmitriyFradkin SiemensVanessaFriasMartinez UniversityofMaryland

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  • AminMantrach Yahoo!BrunoMartins UniversityofLisbonManishMarwah HewlettPackardLabsMichaelMathioudakis UniversityofHelsinkiCharalamposMavroforakis DepartmentofComputerScience,BostonUniversitySuzanneMcIntosh NewYorkUniversityWannesMeert KatholiekeUniversiteitLeuvenEdgarMeij BloombergL.P.YelenaMejova QatarComputingResearchInstituteGaborMelli SonyPlayStationAnnaMonreale ComputerScienceDep.,UniversityofPisaRobertMoskovitch DeutscheTelekomLaboratoriesatBenGurionUniversitySeeKiongNg NationalUniversityofSingaporeKarlNi InQTelFeipingNie NorthwesternPolytechnicalUniversityAlexandrosNtoulas LinkedInNeilO'Hare Yahoo!GirishPalshikar TataResearchDevelopmentandDesignCentrePanagiotisPapapetrou StockholmUniversityDebprakashPatnaik Amazon.comNielsPeek TheUniversityofManchesterWenChihPeng NationalChiaoTungUniversityPedroPereiraRodrigues UniversityofPortoFabioPinelli VodafoneItaliaVassilisPlachouras FacebookLuisaPolania AMFAMVladanRadosavljevic OLXSujuRajan CriteoNikhilRao TechnicolorResearchChotiratRatanamahatana ChulalongkornUniversityAlejandroRodriguez UniversidadPolitcnicadeMadridCatherineRoussey IrsteaClermontFerrandCenterNishanthSastry King'sCollegeLondonPavelSerdyukov YandexAneeshSharma GoogleLiShen UniversityofPennsylvaniaCongleiShi AirbnbInc.MiladShokouhi MicrosoftGautamShroff TCSResearch,TataConsultancyServicesFabrizioSilvestri FacebookAlkisSimitsis HPLabsDonourSizemore TwoSigmaInvestmentsParikshitSondhi NeulogicInc.FrancescaSpezzano BoiseStateUniversityAnnaSquicciarini ThePennsylvaniaStateUniversityKumarSricharan PaloAltoResearchCenterMudhakarSrivatsa IBMGiovanniStilo UniversityofRomeLaSapienzaOriStitelman DstilleryTorstenSuel NewYorkUniversityParthaTalukdar IndianInstituteofScience

  • LiangTang GoogleDanTecuci EY(Ernst&Young)MarkoTkalcic FreeUniversityofBozenBolzanoYongxinTong BeihangUniversityVincentS.Tseng NationalChiaoTungUniversityAllanTucker BrunelUniversityGeorgeValkanas DetecticaInc.PetervanderPutten LIACS,LeidenUniversity&PegasystemsLavVarshney UniversityofIllinoisatUrbanaChampaignDarrenVengroff TwoSigmaAnilKumarVullikanti VirginiaTechPengyuanWang UniversityofGeorgiaJamesB.Wendt GoogleBoXie FacebookInc.RuiYan PekingUniversityZhijunYin FacebookKuiYu HefeiUniversityofTechnologyWenluZhang CaliforniaStateUniversityLongBeachZhenjieZhang YituTechnologyYadaZhu IBMIndreZliobaite UniversityofHelsinki

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  • ConferenceVenueandWiFiInformation

    ConferenceVenue:

    ExcelLondon

    RoyalVictoriaDock

    1WesternGateway,

    LondonE161FR

    WhenarrivingviatheDocklandsLightRailway(DLR),alightatthePrinceRegentstop.

    BanquetVenue:

    ThebanquetwilltakeplaceattheExcelLondon,WednesdayAugust22nd,7pminHallsN20N23.

    WiFiInformationintheconferenceareas

    ConnecttoExcelFreeWiFiandfollowtheinstructions.

  • UsefulLinksandEmergencyContacts

    AboutLondon

    The beautiful capital of England is known for imposing landmarks such as Big Ben , the London Eye and Tower Bridge, as 1

    well as its iconic red buses and telephone boxes; the city is a centre of architectural greats and harbours a rich history

    withabigrangeofmuseums.PickupyourfreevisitLondonbrochure andenjoyourfabulouscity.2

    TowerBridge,Londoneye,andbigBenareonly30minutesawayfromtheVenue.PlanyourdayintheCityofLondon

    ahead ,anddonotforgettobringyourumbrella.3

    InLondonyoureneverfarfromamuseumandintotaltherearemorethan170inourcapital.TheV&A,Science

    museumandNaturalHistoryMuseumcanbefoundinwhatisknownastheAlbertopolisinSouthKensington (named4

    afterPrinceAlbert,withthelandpurchasedfromtheprofitsoftheGreatExhibitionof1851).Thisisacenterofcultural

    1Funfact:BigBenisactuallythenicknameoftheGreatBellwithinElizabethTower,butithasbeenappropriatedbyconstantusetorefertoboththeclockandtheclocktower.2http://content.tfl.gov.uk/visitor-leaflet-welcome-to-london-nov16.pdf3http://www.city-walks.info/London-en/Top-10-Sights.html4https://en.wikipedia.org/wiki/Albertopolis

    http://content.tfl.gov.uk/visitor-leaflet-welcome-to-london-nov16.pdfhttp://www.city-walks.info/London-en/Top-10-Sights.html

  • andscientificexcellence,andisalsohometoImperialCollege,theRoyalCollegeofMusicandtheRoyalAlbertHall.For

    moreinformationabouttours,museumsandgalleries,visitguidelondon.org.uk. 5

    StayingSafeinLondon 6

    Call999or112inanemergencytocontactthepolice,ambulanceorfiredepartment.

    Fornonurgentcrimescontactthepolicebycalling101. Neverleaveyourbagunattended,andreportanyunattendedbagsoritemsinpublicplaces. InformationaboutmajorincidentscanbefoundontheMetPolicewebsite(https://www.met.police.uk/).

    HereareafewtipstoenjoyingLondonsafely,whetheryou'reafirsttimevisitor,regulartravellerorlocal.EmergencycontactsandinformationInanemergency,contactthepolice,ambulance,orfiredepartmenton999or112.Thesenumbersarefreetocallonlyusetheminarealemergency.Toreportnonurgentcrime,contactyourlocalpolicestationbycalling101fromwithintheUK.InformationaboutmajorincidentsinthecapitalcanbefoundontheMetPolicewebsite

    (https://www.met.police.uk/).YoucanalsosignuptoalertsonTwitter(https://www.met.police.uk/)orFacebook

    (https://engb.facebook.com/metpoliceuk/).

    ThelatesttransportinformationcanbefoundontheTransportforLondonwebsite(https://tfl.gov.uk/).

    SafetravelinLondon

    Planyourroutebeforeyouleave.SeetheTransportforLondonwebsite(https://tfl.gov.uk/). Onlyusetaxisorregisteredminicabs. Trytoavoidwalkingaloneatnight.Keeptowelllitmainroads. Bewareofwearingheadphonestheyreduceawarenessofyoursurroundings. IntheUK,carsdriveontheleft.Toensureyoucrossroadssafely,onlyusedesignatedcrossings,onlycross

    whenthegreenmanisshowingandtakenoteofthesignsindicating"lookright"or"lookleft"tospotany

    oncomingtraffic.

    Stayingsafeinbarsandrestaurants

    Makesureyoukeepyourpropertyoutofsightandsafelyunderthetable. Manyvenueshaveclipsunderthetables,usethemtosecureyourhandbagorbriefcase. Don'tacceptdrinksfromstrangers.

    5https://www.guidelondon.org.uk/tours/museumsandgalleriestours/6Informationreproducedfromvisitlondon.com,theofficialLondonVisitorsguide,endorsedbytheMayorofLondon.

    https://www.met.police.uk/https://www.met.police.uk/https://www.met.police.uk/https://tfl.gov.uk/https://tfl.gov.uk/

  • Checkuponyourfriendsbyphoneortexttomakesuretheygothomesafelyandviceversa.

    Keepyourbelongingssafe

    Don'tleaveyourbagunattendedanywhereinLondonthiscanleadtoasecurityalert. Keepyourpurseorwalletclosetoyourbodyanddon'tcarrytoomuchcash. Whenusingacashpoint,checkthatnooneislookingoveryourshoulderandthattheATMhasn'tbeen

    tamperedwith.CoverthekeypadsonooneelsecanseeyourPINnumber.

    Keepyourmobilephone,MP3player,cameraandothergadgetsoutofsightinyourpocketorhandbagwhennotinuse.

    Recorddetailsofyourelectronicserialnumbers(ESNs). Informyourserviceproviderandpoliceifyourphoneorothervaluablesarestolenorlost.Dial101foryour

    nearestPoliceservice.

    Beaware

    Makesuretoreportanyunattendedbagsorbelongingsinpublicplaces. WatchtheNationalPoliceChiefs'Council's(NPCC)videowithadviceonwhattodointherareeventofa

    firearmsorweaponsattack .7

    DownloadthefreeCitizenAidapponAndroidorApple,whichgivesadviceonimmediateactionsincaseofanincident.

    7https://www.youtube.com/watch?v=4jxOXbpTmnk

    https://www.youtube.com/watch?v=4jxOXbpTmnk

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