熊辉，男，1972年5月生，江西省南昌市人，美国罗格斯-新泽西州立大学杰出教授(终身教授)、院长讲席教授，并担任中国科学技术大学大师讲席教授(客座)。

熊来自辉教授一直致力于数据挖掘、大数据分析、商务智能、互联网证券和信息安全等领域的科学研究。因在大数据/数据挖掘领域的突出成就和影响力，360百科熊辉教授在2014年当选ACM杰出科学家 , 在2020年当选IEEE Fellow 与 AAAS Fellow。

曾任百度研究院副院长、百度商业智能实验室主任、百度机器人与自动驾驶实村套迫刻本术乎农章验室主任、百度人才智库主任。

• 中文名称 熊辉
• 外文名称 Xiong Hui
• 国籍 中国
• 民族 汉族
• 出生地 江西南昌

人物经历

　　来自1995，中国科学技术大学，学士

　　2000，新加坡国立大学，硕士

　　2005，美国明尼苏达大学，博士

　　2018年1月18日，熊辉加盟百度研究院。

社会职务

　　熊辉教授曾在清华大学经济管理学院，中国人民360百科大学商学院，长江商学院，中国科学技术大学管理学院，南周京大学商学院，美国BSE企业家商学院，大连理工大学管理学院，厦门大学和大连高级经理学院讲授商务智能E况山什容地MBA以及MBA考作比课程，同时还被中国国家龙星计划作为海外名师邀请为数据挖掘专门授课老师，受到广泛好评。

　　熊辉教授还担任中国证券业协会互联网证券专业委员会掌神亲物敌、中国计算机学会大数据专府抓影著各务则临乐控法家委员会委员和中国房地产评估协会顾问。

研究呼段方向

　　1 数据挖掘

　　2 移动计算

　　3 商务智能

　　4 人工智能

　　5 人才管理计算

学术服务

　　数据挖掘顶级会议ACM KDD-2018 Research Track，ACM KDD-2012Indu来自stry and Government Track、IEEE ICDM-2013程序委员会主席

　　2018中国大数据技术大会(BDTC)大会主席

　　第29届中国数据库学术会议和IEEE ICDM-2015大会主席

　　IEEE Transactions on Knowledge and Data Engineering (TKDE)顶级期刊编委

　　ACM Transactions on Management Information Systems期磁日煤危组视民刊编委

　　ACM Transactions on Knowledge Discovery from Data (TKDD)期刊编委

　　IEEE Transactions on Big Data期刊编委

　　美国国家科学基金(NSF)

　　中国国家自然科学基金(N右支造顶烈还SFC)海外及港澳学者合作研究基金(海外杰出青年项目)

　　德国政府基金

人才培养

主讲课程

　　《大数据商务智能》、《数据挖掘》

指导博士研究生

　　熊辉教授培养了十余名优秀博士研究生，均成为美国知名大学TENURE-TRACK助理教授或在国际知名企业从事科研工作，包括田纳西大学(University of 360百科Tennessee-Knoxville) 、亚利桑那大学 (University of Arizona)、纽约州立大学石溪分校(Stony Brook University)、中佛罗里达大学(University of Central Florida)、乔治梅森大学(George Mason University)、德雷塞尔大学 (Drexel University)、香港城市大学(City Universit席控死永角y of Hong Kong)、Facebook和IBM Research。

获得荣誉

　　1. AAAS Fel使剧海山凯便晚总low, 2020

　　2. 费IEEE Fellow, 2020

　　3. 哈佛商业评论"拉姆·查兰管理实践奖"-全场大奖、人力资源实践奖，2018

　　4. 人绝林愿手沉向问超换室民大学商学院"第八届中国人力资源管理学死名花充院奖"-中国人力探话木若定资源管理最佳实践奖, 2018

轻间印　　5. 前程无忧"中本视输操款术给国典范雇主"-中国典范雇主、人力资源数字化管理典范，2018

出可管远短使不块　　6. IEEE ICDM-201断妒江之培支心便剧神首7杰出服务贡献奖(Outstanding Service Award)，2017

　　7. 美国罗格斯大学院长讲席教授(RBS Dean's Research Professor), 孙之协破家站来将乱2016

　　8. ACM杰出科学家(ACM Distinguished Sc备视乐群李包ientist)，2014

　　9. IEEE ICDM-2011最佳科研论文奖(Best Research Paper Award)

出版著作

书籍

　　代表性论著包括:1福歌七本专著，3本编著，高水平学术论文200余篇

• 专著:Hui Xiong, Hyperclique pat卷何晶超回tern discovery: Algorithms and applications, ISBN: 0-542-26663-6, ProQuest I基nformation and Learning, 2006.
• 编著:My T. Thai, Weili Wu and Hui Xiong, Big Data in Complex and Social Networks (Chapman & Hall/CRC Big Data Series) . ISBN-10: 1498726844, ISBN-13: 978-1498726849, November, 2016.
• 编著:Shashi Shekhar, Hui Xiong (Editor-in-Chiefs), Encyclopedia of GIS (The book web site maintained by Springer). (Brochure). ISBN-10: 0387359753, ISBN-13: 978-0387359755, Springer; 1 edition, January, 2008. CHOICE Outstanding Academic Title of the Year 2008.
• 编著:Weili Wu, Hui Xiong, Shashi Shekhar (Eds.), Clustering and Information Retrieval , ISBN: 1-4020-7682-7, Kluwer Academic Publishers, 2003.

期刊论文

　　近5年代表性期刊:

1. Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo.Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach, ACM Transactions on Knowledge Discovery from Data(TKDD),2019.
2. ChuanQin,HengshuZhu,TongXu,ChenZhu,EnhongChen,HuiXiong,AnEnhancedNeuralNetworkApproachtoPerson-JobFitinTalentRecruitment,ACMTransactionsonInformationSystems(ACMTOIS),2019.
3. QiLiu,ZhenyaHuang,YuYin,EnhongChen,HuiXiong,YuSu,GuopingHu.EKT:Exercise-awareKnowledgeTracingforStudentPerformancePrediction,IEEETransactionsonKnowledgeandDataEngineering(TKDE),2019.
4. PengpengZhao,ChengfengXu,YanchiLiu,VictorSheng,KaiZheng,HuiXiong,XiaofangZhou.ExploitingVisualContentsinGeo-taggedPhotosforPersonalizedTourRecommen-dation,IEEETransactionsonKnowledgeandDataEngineering(TKDE),2019.
5. TongXu,HengshuZhu,HuiXiong,HaoZhong,EnhongChen.ExploringtheSocialLearn-ingofTaxiDriversinLatentVehicle-to-VehicleNetwork,IEEETransactionsonMobileCom-puting(TMC),2019.
6. TongXu,HengshuZhu,HaoZhong,GuannanLiu,HuiXiong,EnhongChen.ExploitingtheDynamicMutualInfluenceforPredictingSocialEventParticipation,IEEETransactionsonKnowledgeandDataEngineering(TKDE),2018.
7. JieLiu,BinLiu,YanchiLiu,LinaFeng,HuipengChen,HuiXiong,YalouHuang.PersonalizedAirTravelPrediction:AMulti-factorPerspective,ACMTransactiononIntelligentSystemsandTechnology(TIST),2018.
8. ChenZhu,HengshuZhu,HuiXiong,ChaoMa,FangXie,PengliangDing,PanLi.Person-JobFit:AdaptingtheRightTalentfortheRightJobwithJointRepresentationLearning,ACMTransactionsonManagementInformationSystems(TMIS),2018.
9. WenjunZhou,HuiXiong,LianDuan,KeliXiao,andRobertMee.Paradoxicalcorrelationpatternmining,IEEETransactionsonKnowledgeandDataEngineering(TKDE),2018.
10. BowenDu,WenjunZhou,ChuanrenLiu,YifengCui,andHuiXiong.Transitpatterndetectionusingtensorfactorization,INFORMSJournalonComputing(JOC),2018.
11. JingyuanYang,ChuanrenLiu,MingfeiTeng,JiChen,HuiXiong.AUnifiedViewofSocialandTemporalModelingforB2BMarketingCampaignRecommendation,IEEETransactionsonKnowledgeandDataEngineering(TKDE),2017.
12. KeliXiao,QiLiu,ChuanrenLiu,andHuiXiong.PriceShockDetectionWithanInfluence-BasedModelofSocialAttention,ACMTransactionsonManagementInformationSystems(TMIS),9(1):NO.2(2017).
13. YanhongGuo,WenjunZhou,ChunyuLuo,ChuanrenLiu,HuiXiong.Instance-BasedCreditRiskAssessmentforInvestmentDecisionsinP2PLending,EuropeanJournalofOperationalResearch(EJOR),249(2):417-426(2016)
14. HaoZhong,ChuanrenLiu,JunweiZhongandHuiXiong.WhichStartuptoInvestin:APersonalizedPortfolioStrategy,AnnalsofOperationsResearch(ANOR),pp1-22(2016).
15. ChuanrenLiu,HuiXiong,SpirosPapadimitriou,YongGe,KeliXiao.AProactiveWorkflowModelforHealthcareOperationandManagement,IEEETransactionsonKnowledgeandDataEngineering(TKDE),29(3):586-598(2016).
16. BinLiu,YaoWu,NeilZhengqianagGong,JunjieWu,HuiXiong,MartinEster.StructuralAnalysisofUserChoicesforMobileAppRecommendation,ACMTransactionsonKnowledgeDiscoveryfromData(TKDD),11(2):NO.17(2016).
17. YanjieFu,HuiXiong,YongGe,YuZheng,ZijunYao,Zhi-HuaZhou.ModelingofGeographicalDependenciesforRealEstateRanking,ACMTransactionsonKnowledgeDiscoveryfromData(TKDD),11(1):NO.11(2016).
18. YanjieFu,HuiXiong,XinjiangLu,JinYang,CanChenServiceUsageClassificationwithEncryptedInternetTrafficinMobileMessagingApps,IEEETRANSACTIONSONMOBILECOMPUTING(TMC),15(11):2851-2864(2016).
19. ChuanrenLiu,KaiZhang,HuiXiong,GuofeiJiang,QiangYang.Temporalskeletonizationonsequentialdata:patterns,categorization,andvisualization,IEEETransactionsonKnowledgeandDataEngineering(TKDE),28(1):211-223(2016)
20. XiuyuanZheng,JieYang,YingyingChen,HuiXiong.AnAdaptiveFrameworkCopingwithDynamicTargetSpeedforDevice-FreePassiveLocalization,IEEETransactionsonMobileComputing(TMC),14(6):1138-1150(2015)
21. BinLiu,HuiXiong,SpirosPapadimitriou,YanjieFu,ZijunYao.AGeneralGeographicalProbabilisticFactorModelforPointofInterestRecommendation.IEEETransactionsonKnowledgeandDataEngineering(TKDE),27(5):1167-1179(2015).
22. NicholasJingYuan,YuZheng,XingXie,YingziWang,KaiZheng,HuiXiong.DiscoveringUrbanFunctionalZonesUsingLatentActivityTrajectories.IEEETransactionsonKnowledgeandDataEngineering(TKDE),27(3):712-725(2015).
23. JunjieWu,HongfuLiu,HuiXiong,JieCao,JianChen.K-Means-BasedConsensusClustering:AUnifiedView.IEEETransactionsonKnowledgeandDataEngineering(TKDE),27(1):155-169(2015).
24. HengshuZhu,HuiXiong,YongGe,EnhongChen.DiscoveryofRankingFraudforMobileApps.IEEETransactionsonKnowledgeandDataEngineering(TKDE),27(1):74-87(2015).
25. YongGe,HuiXiong,AlexanderTuzhilin,andQiLiuCost-awareCollaborativeFilteringforTravelTourRecommendations,ACMTransactionsonInformationSystems(TIS),Volume32Issue1,ArticleNo.4,January2014.
26. BaoxingHuai,EnhongChen,HengshuZhu,HuiXiong,TengfeiBao,QiLiu,JileiTianTowardsPersonalizedContextRecognitionforMobileUsers:ASemi-SupervisedBayesianHMMApproachACMTransactionsonKnowledgeKnowledgeDiscoveryfromData(TKDD)9(2):1-29(2014)
27. YongGe,GuofeiJiang,MinDing,HuiXiong,RankingMetricAnomalyinInvariantNetworks,,ACMTransactionsonKnowledgeDiscoveryfromData(TKDD)8(2):1:30(2014)
28. HengshuZhu,HuanhuanCao,EnhongChen,HuiXiong,JileiTian,MobileAppClassificationwithEnrichedContextualInformation,IEEETransactionsonMobileComputing(TMC)13(7):1550-1563(2014)

会议论文

　　近5年代表性会议论文:

1. XiZhang,YuqingZhao,XinlinTang,HengshuZhu,HuiXiong,DevelopingFairnessRulesforTalentIntelligenceManagementSystem,InProceedingsofthe53rdHawaiiInternationalConferenceonSystemSciences(HICSS-2020),Maui,Hawaii,USA,2020.
2. WeijiaZhang,HaoLiu,YanchiLiu,JingboZhou,HuiXiong,Semi-SupervisedHierarchicalRecurrentGraphNeuralNetworkforCity-WideParkingAvailabilityPrediction,InProceed-ingsofthe34thAAAIConferenceonArtificialIntelligence(AAAI-2020),NewYorkCity,USA,2020.
3. ZhaoZhang,FuzhenZhuang,HengshuZhu,ZhipingShi,HuiXiong,QingHe,RelationalGraphNeuralNetworkwithHierarchicalAttentionforKnowledgeGraphCompletion,InProceedingsofthe34thAAAIConferenceonArtificialIntelligence(AAAI-2020),NewYorkCity,USA,2020.
4. ChaoWang,HengshuZhu,ChenZhu,ChuanQin,HuiXiong,SetRank:ASetwiseBayesianApproachforCollaborativeRankingfromImplicitFeedback,InProceedingsofthe34thAAAIConferenceonArtificialIntelligence(AAAI-2020),NewYorkCity,USA,2020.
5. Zhang,TongXu,HengshuZhu,ChuanQin,QingxinMeng,HuiXiong,EnhongChen,Large-ScaleTalentFlowEmbeddingforCompanyCompetitiveAnalysis,InProceedingsofTheWebConference2020(WWW-2020),Taipei,2020.
6. ChaoWang,HengshuZhu,ChenZhu,XiZhang,EnhongChen,HuiXiong,Personal-izedEmployeeTraniningCourseRecommendationwithCareerDevelopmentAwareness,InProceedingsofTheWebConference2020(WWW-2020),Taipei,2020.
7. JinXu,JingboZhou,YongpoJia,JianLi,HuiXiong,AnAdaptiveMaster-SlaveRegularizedModelforUnexpectedRevenuePredictionEnhancedwithAlternativeData,InProceedingsofthe36thIEEEInternationalConferenceonDataEngineering(ICDE),2020.
8. YangYang,Ke-TaoWang,De-ChuanZhan,HuiXiong,YuanJiang.ComprehensiveSemi-SupervisedMulti-ModalLearning.InProceedingsofthe28thInternationalJointConfer-enceonArtificialIntelligence(IJCAI19),Macao,China,2019.
9. XunxianWu,TongXu,HengshuZhu,LeZhang,EnhongChen,HuiXiong.Trend-AwareTensorFactorizationforJobSkillDemandAnalysis.InProceedingsofthe28thInternationalJointConferenceonArtificialIntelligence(IJCAI19),Macao,China,2019.
10. HaoLiu,YongxinTong,PanpanZhang,XinjiangLu,JianguoDuan,HuiXiong.Hydra:APersonalizedandContext-AwareMulti-ModalTransportationRecommendationSystem,InProceedingsofthe25rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2019),Anchorage,Alaska,USA,2019.
11. ChuanQin,HengshuZhu,ChenZhu,TongXu,FuzhenZhuang,ChaoMa,JingshuaiZhang,HuiXiong.DuerQuiz:APersonalizedQuestionRecommenderSystemforIn-telligentJobInterview,InProceedingsofthe25rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2019),Anchorage,Alaska,USA,2019.
12. YingSun,FuzhenZhuang,HengshuZhu,XinSong,QingHe,HuiXiong.TheImpactofPerson-OrganizationFitonTalentManagement:AStructure-AwareConvolutionalNeuralNetworkApproach,InProceedingsofthe25rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2019),Anchorage,Alaska,USA,2019.
13. JunchenYe,LeileiSun,BowenDu,YanjieFu,XinranTong,HuiXiong.Co-PredictionofMultipleTransportationDemandsBasedonDeepSpatio-TemporalNeuralNetwork,InProceedingsofthe25rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2019),Anchorage,Alaska,USA,2019.
14. QingxinMeng,HengshuZhu,KeliXiao,LeZhang,HuiXiong.AHierarchicalCareer-Path-AwareNeuralNetworkforJobMobilityPrediction,InProceedingsofthe25rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2019),Anchorage,Alaska,USA,2019.
15. LeZhang,HengshuZhu,TongXu,ChenZhu,ChuanQin,HuiXiong,andEnhongChen.Large-ScaleTalentFlowForecastwithDynamicLatentFactorModel.InProceedingsofthe26thWorldWideWebConference(WWW2019),2019.
16. ChengfengXu,PengpengZhao,YanchiLiu,JiajieXu,VictorSheng,ZhimingCui,XiaofangZhou,andHuiXiong.RecurrentConvolutionalNeuralNetworkforSequentialRecommendation.InProceedingsofthe26thWorldWideWebConference(WWW2019),2019.
17. HuangXu,ZhiwenYu,BinGuo,MingfeiTeng,andHuiXiong.ExtractingJobTitleHierarchyfromCareerTrajectories:ABayesianPerspective.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI'18).Stockholm,Sweden,July13-19,2018.
18. ZijunYao,YanjieFu,BinLiu,WangsuHu,andHuiXiong.RepresentingUrbanFunctionsthroughZoneEmbeddingwithHumanMobilityPatterns.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI'18).Stockholm,Sweden,July13-19,2018.
19. XiaoZhang,WenzhongLi,VuNguyen,FuzhenZhuang,HuiXiong,andSangluLu.Label-SensitiveTaskGroupingbyBayesianNonparametricApproachforMulti-TaskMulti-LabelLearning.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI'18).Stockholm,Sweden,July13-19,2018.
20. DazhongShen,HengshuZhu,ChenZhu,TongXu,ChaoMa,andHuiXiong.AJointLearningApproachtoIntelligentJobInterviewAssessment.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI'18).Stockholm,Sweden,July13-19,2018.
21. ChuanQin,HengshuZhu,TongXu,ChenZhu,LiangJiang,EnhongChen,andHuiXiong.EnhancingPerson-JobFitforTalentRecruitment:AnAbility-awareNeuralNetworkApproach.The41stInternationalACMSIGIRConferenceonResearchandDevelopmentinInformationRetrieval(SIGIR-2018),AnnArbor,MI,USA,2018.
22. HaochaoYing,FuzhenZhuang,FuzhengZhang,YanchiLiu,GuandongXu,XingXie,HuiXiong,andJianWu.SequentialRecommenderSystembasedonHierarchicalAttentionNetworks.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI'18).Stockholm,Sweden,July13-19,2018.
23. TongXu,HengshuZhu,ChenZhu,PanLi,andHuiXiong.MeasuringthePopularityofJobSkillsinRecruitmentMarket:AMulti-CriteriaApproach.InProceedingsoftheThirty-SecondAAAIConferenceonArtificialIntelligence(AAAI'18),NewOrleans,LA,USA,2018.
24. KaiZhang,ChuanrenLiu,JieZhang,HuiXiong,EricXingandJiepingYe.FindingStructuresofLargeMatricesThroughCompression.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
25. HaoWang,YanmeiFu,QinyongWang,ChangyingDu,HongzhiYinandHuiXiong.ALocation-Sentiment-AwareRecommenderSystemforBothHome-TownandOut-of-TownMobileUsers.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
26. JunmingLiu,LeileiSun,QiaoLi,JingciMing,YanchiLiuandHuiXiong.FunctionalZoneBasedHierarchicalDemandPredictionForBikeSystemExpansion.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
27. JunmingLiu,YanjieFu,JingciMing,YongRen,LeileiSunandHuiXiong.EffectiveandReal-timeIn-AppActivityAnalysisinEncryptedInternetTrafficStreams.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
28. YanchiLiu,ChuanrenLiu,XinjiangLu,MingfeiTeng,HengshuZhu,HuiXiong.PointofInterestDemandModelingwithHumanMobilityPatterns.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
29. SenYang,XinDong,LeileiSun,YichenZhou,RichardA.Farneth,HuiXiong,RandallS.Burd,IvanMarsic.AData-drivenProcessRecommenderFramework.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
30. YanjieFu,CharuAggarwal,SrinivasanParthasarathy,DeepakS.Turaga,andHuiXiong.REMIX:AutomatedExplorationforInteractiveOutlierDetection.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
31. HuayuLi,YongGe,HengshuZhu,HuiXiongandHongkeZhao.ProspectingtheCareerDevelopmentofTalents:ASurvivalAnalysisPerspective.The23rdACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2017),Halifax,NovaScotia,Canada,2017.
32. PeizheCheng,ShuaiqiangWang,JunMa,JiankaiSunandHuiXiong.LearningtoRecommendAccurateandDiverseItems.InProceedingsofthe26thWorldWideWebConference(WWW-17),2016.
33. HaoLin,HengshuZhu,YuanZuo,ChenZhu,JunjieWuandHuiXiong.CollaborativeCompanyProfiling:InsightsfromanEmployee’sPerspective.InProceedingsoftheThirty-FirstAAAIConferenceonArtificialIntelligence(AAAI-17),2017.
34. XinjiangLu,ZhiwenYu,LeileiSun,ChuanrenLiu,HuiXiongandChuGuan.Characterizingthelifecycleofpointofinterestsusinghumanmobilitypatterns.InProceedingsofthe2016ACMInternationalJointConferenceonPervasiveandUbiquitousComputing(UbiComp2016),2016.
35. TongXu,HengshuZhu,XiangyuZhao,QiLiu,HaoZhong,EnhongChen,HuiXiong.TaxiDrivingBehaviorAnalysisinLatentVehicle-to-VehicleNetworks:ASocialInfluencePerspective.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
36. HuangXu,JingyuanYang,ZhiwenYu,HuiXiong,HengshuZhu.TalentCircleDetectioninJobTransitionNetworks.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016..
37. ChenZhu,HengshuZhu,HuiXiong,PengliangDing,FangXie.TrendAnalysisofRecruitmentMarketwithSequentialLatentVariableModel.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
38. LeileiSun,ChuanrenLiu,ChonghuiGuo,HuiXiong,YanmingXie.Data-drivenAutomaticTreatmentRegimenDevelopmentandRecommendation.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
39. BowenDu,ChuanrenLiu,WenjunZhou,HuiXiong.CatchMeIfYouCan:DetectingPickpocketSuspectsfromLarge-ScaleTransitRecords.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
40. YuanZuo,JunjieWu,HasLin,HuiXiong.Pseudo-Document-basedTopicModelingofShortTextswithoutAuxiliaryInformation.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016..
41. YanchiLiu,ChuanrenLiu,BinLiu,MengQu,HuiXiong.UnifiedPoint-of-InterestRecommendationwithTemporalIntervalAssessment.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
42. JunmingLiu,LeileiSun,HuiXiong,WeiweiChen.RebalancingBikeSharingSystems:AMulti-sourceDataSmartOptimization.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
43. HengshuZhu,HuiXiong,FangshuangTang,QiLiu,YongGe,EnhongChen,YanjieFu.DaysonMarkets:MeasuringtheLiquidityofRealEstateMarkets.The22ndACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD-2016),SanFrancisco,CA,USA,2016.
44. DefuLian,YongGe,NicholasYuan,XingXie,HuiXiong.SparseBayesianContent-AwareCollaborativeFilteringforImplicitFeedback.25thInternationalJointConferenceonArtificialIntelligence(IJCAI2016),2016.
45. ChuanrenLiu,FeiWang,JianyingHuandHuiXiong.TemporalPhenotypingfromLongitudinalElectronicHealthRecords:AGraphBasedFramework.The21thACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2015),2015.
46. YanjieFu,GuannanLiu,SpirosPapadimitriou,HuiXiong,YongGe,HengshuZhu,ChenZhu.RealEstateRankingviaMixedLand-useLatentModels.The21thACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2015),2015.
47. BinLiu,DeguangKong,LeiCen,NeilZhenqiangGong,HongxiaJin,andHuiXiong.PersonalizedMobileAppRecommendation:ReconcilingAppFunctionalityandUserPrivacyPreference,InProceedingsoftheEighthInternationalConferenceonWebSearchandDataMining(WSDM2015),(FullPaper,16.4%acceptance),2015.
48. HengshuZhu,HuiXiong,YongGe,EnhongChen.MobileAppRecommendationwithSecurityandPrivacyAwareness.The20thACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2014),2014.
49. YanjieFu,HuiXiong,YongGe,ZijunYao,YuZheng,ZhihuaZhou.ExploitingGeographicDependenciesforRealEstateAppraisal:AMutualPerspectiveofRankingandClustering.The20thSIGKDDconferenceonKnowledgeDiscoveryandDataMining(KDD2014),2014.
50. MengQu,HengshuZhu,JunmingLiu,GuannanLiu,HuiXiong.ACost-EffectiveRecommenderSystemforTaxiDrivers.2014ACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2014),2014.
51. ChuanrenLiu,KaiZhang,HuiXiong,GuofeiJiang,QiangYang.TemporalSkeletonizationonSequentialData:Patterns,Categorization,andVisualization.The20thACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2014),2014.
52. ChuanrenLiu,YongGe,HuiXiong,KeliXiao,WeiGeng,MattPerkins.ProactiveWorkflowModelingbyStochasticProcesseswithApplicationtoHealthcareOperationandManagement.The20thACMSIGKDDInternationalConferenceonKnowledgeDiscoveryandDataMining(KDD2014),2014.