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Since2020
ManWu,ShiruiPan,ChuanZhou,XiaojunChang,andXingquanZhu.UnsupervisedDomainAdaptiveGraphConvolutionalNetworks.AcceptedbyWWW-20.
ShichaoZhu,LeweiZhou,ShiruiPan,ChuanZhou,GuiyingYan,andBinWang.GSSNN:GraphSmoothingSplinesNeuralNetworks.AcceptedbyAAAI-20.[SupplementaryFile][Slides][Codes]
FanzhenLiu,JiaWu,ShanXue,ChuanZhou,JianYang,andQuanzhengSheng.Detectingtheevolvingcommunitystructureindynamicsocialnetworks.WorldWideWeb:InternetandWebInformationSystems(WWWJ)23(2):715-733(2020).[Codes]
2019
AnfengCheng,ChuanZhou,HongYang,JiaWu,LeiLi,JianlongTan,andLiGuo.DeepActiveLearningforAnchorUserPrediction.InProceedingsofthe28thInternationalJointConferenceonArtificialIntelligence(IJCAI-19),Pages2151-2157.[Codes]
HongYang,ShiruiPan,PengZhang,ChuanZhou,andLingChen.Low-BitQuantizationforAttributedNetworkRepresentationLearning.InProceedingsofthe28thInternationalJointConferenceonArtificialIntelligence(IJCAI-19),Pages4047-4053.[Codes]
ShichaoZhu,ChuanZhou,ShiruiPan,XingquanZhu,andBinWang.RelationStructure-AwareHeterogeneousGraphNeuralNetwork.InProceedingsofthe19thIEEEInternationalConferenceonDataMining(ICDM-19),Pages1534-1539.[Slides][Codes]
XixunLin,HongYang,JiaWu,ChuanZhou,andBinWang.GuidingCross-lingualEntityAlignmentviaAdversarialKnowledgeEmbedding.InProceedingsofthe19thIEEEInternationalConferenceonDataMining(ICDM-19),ages429-438.[Slides][Codes]
ManWu,ShiruiPan,XingquanZhu,ChuanZhou,andLeiPan.Domain-AdversarialGraphNeuralNetworksforTextClassification.InProceedingsofthe19thIEEEInternationalConferenceonDataMining(ICDM-19),Pages648-657.
YongshanZhang,JiaWu,ChuanZhou,ZhihuaCai,JianYang,andPhilipS.Yu.Multi-viewFusionwithExtremeLearningMachineforClustering.ACMTransactionsonIntelligentSystemsandTechnology(TIST),Volume10,Number5,November2019,Pages53:1-53:23.
XinLi,LiangYang,YiLi,andChuanZhou.DeepTrajectory:aDeepLearningApproachforMobileAdvertisinginVehicularNetworks.NeuralComputingandApplications31(7):2813-2825(2019).
QiHuang,ChuanZhou,JiaWu,MingwenWang,andBinWang.DeepStructureLearningforRumorDetectiononTwitter.Inproceedingsof2019InternationalJointConferenceonNeuralNetworks(IJCNN-19),Pages1-8.[Codes]
FanzhenLiu,JiaWu,ChuanZhou,andJianYang.EvolutionaryCommunityDetectioninDynamicSocialNetworks.Inproceedingsof2019InternationalJointConferenceonNeuralNetworks(IJCNN-19),Pages1-7.[Codes]
MengyuZheng,ChuanZhou,JiaWu,andLiGuo.SmoothDeepNetworkEmbedding.Inproceedingsof2019InternationalJointConferenceonNeuralNetworks(IJCNN-19),Pages1-8.
2018
Chun-YiLiu,ChuanZhou,JiaWu,YueHu,andLiGuo.SocialRecommendationwithanEssentialPreferenceSpace.InProceedingsofthe32ndAAAIConferenceonArtificialIntelligence(AAAI-18),Pages346-353.[Slides][Codes]
LiGao,HongYang,ChuanZhou,JiaWu,ShiruiPan,andYueHu.ActiveDiscriminativeNetworkRepresentationLearning.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI-18),Pages2142-2148.
LiGao,HongYang,JiaWu,ChuanZhou,WeixueLu,andYueHu.RecommendationwithMulti-SourceHeterogeneousInformation.InProceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI-18),Pages3378-3384.
HaiboWang,ChuanZhou,JiaWu,WeizhenDang,XingquanZhu,andJilongWang.DeepStructureLearningforFraudDetection.InProceedingsofthe18thIEEEInternationalConferenceonDataMining(ICDM-18),Pages567-576.
ChuanZhou,Wei-XueLu,JingzunZhang,LeiLi,YueHu,andLiGuo.EarlyDetectionofDynamicHarmfulCascadesinLarge-scaleNetworks.JournalofComputationalScience,Volume28,September2018,Pages304-317.
LeiLi,ChuanZhou,JianpingHe,JiamiaoWang,XinLi,andXindongWu.CollectiveSemanticBehaviorExtractioninSocialNetworks.JournalofComputationalScience,Volume28,September2018,Pages236-244.
WenZan,ChuanZhou,HongYang,YueHu,andLiGuo.iWalk:Interest-AwareRandomWalkforNetworkEmbedding.Inproceedingsof2018InternationalJointConferenceonNeuralNetworks(IJCNN-18),Pages2677-2684.
AnfengCheng,Chun-YiLiu,ChuanZhou,JianlongTan,andLiGuo.UserAlignmentviaStructuralInteractionandPropagation.Inproceedingsof2018InternationalJointConferenceonNeuralNetworks(IJCNN-18),Pages5427-5434.
MengyuZheng,ChuanZhou,JiaWu,ShiruiPan,JinqiaoShi,andLiGuo.FraudNE:aJointEmbeddingApproachforFraudDetection.Inproceedingsof2018InternationalJointConferenceonNeuralNetworks(IJCNN-18),Pages4739-4746.
LeiLi,FangZhang,DiMa,ChuanZhou,andXuegangHu.Multi-TargetCoreNetwork-basedNetworkedMulti-labelClassification.Inproceedingsof2018IEEEInternationalConferenceonBigKnowledge(ICBK-18),Pages274-281.
郭莉,曹亚男,苏马婧,尚燕敏,朱宇佳,张鹏,周川.网络空间资源测绘:概念与技术.信息安全学报,第3卷,第4期,2018年7月,1-14.（LiGuo,YananCao,MajingSu,YanminShang,YujiaZhu,PengZhang,andChuanZhou.CyberspaceResourcesSurveyingandMapping:TheConceptsandTechnologies.JournalofCyberSecurity,Vol.3,No.4,2018,1-14.)
2017
LiGao,JiaWu,ChuanZhou,andYueHu.CollaborativeDynamicSparseTopicRegressionwithUserProfileEvolutionforItemRecommendation.InProceedingsofthe31stAAAIConferenceonArtificialIntelligence(AAAI-17),Pages1316-1322.
YongshanZhang,JiaWu,ChuanZhou,andZhihuaCai.InstanceClonedExtremeLearningMachine.PatternRecognition68:52-65(2017)
PengWang,PengZhang,ChuanZhou,andZhaoLi.HierarchicalEvolvingDirichletProcessesforModelingNonlinearEvolutionaryTracesinTemporalData.DataMiningandKnowledgeDiscovery,January2017,Volume31,Issue1,Pages32–64.
HanDeng,HongtaoXie,WeiMa,ZhendongMao,andChuanZhou.Double-BitQuantizationandWeightingforNearestNeighborSearch.InProceedingsofthe42ndIEEEInternationalConferenceonAcoustics,SpeechandSignalProcessing(ICASSP-17),Pages1717-1721.
Chun-YiLiu,ChuanZhou,JiaWu,HongtaoXie,YueHu,andLiGuo.CPMF:ACollectivePairwiseMatrixFactorizationModelforUpcomingEventRecommendation.Inproceedingsof2017InternationalJointConferenceonNeuralNetworks(IJCNN-17),Pages1532-1539.(BestStudentPaperAward)[Codes]
ShunLiu,HongtaoXie,ChuanZhou,ZhendongMao,YizhiLiu,andXingyuGao.UyghurLanguageTextDetectioninComplexBackgroundImagesUsingEnhancedMSERs.InProceedingsofthe23rdInternationalConferenceonMultimediaModeling(MMM-17),Pages490-500.
2016
ChuanZhou,Wei-XueLu,PengZhang,JiaWu,YueHu,andLiGuo.OntheMinimumDifferentiallyResolvingSetProblemforDiffusionSourceInferenceinNetworks.InProceedingsofthe30thAAAIConferenceonArtificialIntelligence(AAAI-16),Pages79-85.
LiGao,JiaWu,HongYang,ZhiQiao,ChuanZhou,andYueHu.Semi-Data-DrivenNetworkCoarsening.InProceedingsoftheTwenty-FifthInternationalJointConferenceonArtificialIntelligence(IJCAI2016),Pages1483-1489.
YongshanZhang,JiaWu,ChuanZhou,PengZhang,andZhihuaCai.Multiple-InstanceLearningwithEvolutionaryInstanceSelection.DatabaseSystemsforAdvancedApplications(21stInternationalConference,DASFAA2016,Proceedings,PartI),Pages229-241.
LiGao,JiaWu,ZhiQiao,ChuanZhou,HongYang,andYueHu.CollaborativeSocialGroupInfluenceforEventRecommendation.InProceedingsofthe25thACMInternationalonConferenceonInformationandKnowledgeManagement(CIKM-16),Pages1941-1944.
YaoLu,ZhiQiao,ChuanZhou,YueHu,andLiGuo.Location-awareFriendRecommendationinEvent-basedSocialNetworks:ABayesianLatentFactorApproach.InProceedingsofthe25thACMInternationalonConferenceonInformationandKnowledgeManagement(CIKM-16),Pages1957-1960.
Wei-XueLu,ChuanZhou,andJiaWu.Bigsocialnetworkinfluencemaximizationviarecursivelyestimatinginfluencespread.Knowledge-BasedSystems(KBS),Volume113,1December2016,Pages143–154.
PengWang,PengZhang,ChuanZhou,LiGuo,BinxingFang,andTaoYang.ModelingMulti-factorSequentialUserBehaviorDataoverSocialNetworks.ChineseJournalofElectronics,Vol.25,No.2,Mar.2016,364-371.
Wei-XueLu,ChuanZhou,JiaWu,Chun-YiLiu,LiGao,andYueHu.ARecursiveMethodforBigNetworkInfluenceEstimation.Inproceedingsof2016InternationalJointConferenceonNeuralNetworks(IJCNN-16),Pages4709-4714.
HaishuaiWang,JiaWu,ChuanZhou,ZhenyanJi,andJunWu.MiningSubcascadeFeaturesforCascadeOutbreakPredictioninBigNetworks.Inproceedingsof2016InternationalJointConferenceonNeuralNetworks(IJCNN-16),Pages3942-3949.
乔治，周川，纪现才，曹亚男，郭莉.基于地域特征和异构社交关系的事件推荐算法研究.中文信息学报，第30卷，第5期，2016年9月，47-56．（ZhiQiao,ChuanZhou,XiancaiJi,YananCao,andLiGuo.EventRecommendationBasedonGeographicalFeaturesandHeterogeneousSocialRelationships.JournalofChineseInformationProcessing,2016,30(5):47-56.）
2015
ChuanZhou,PengZhang,WenyuZang,andLiGuo.OntheUpperBoundsofSpreadforGreedyAlgorithmsinSocialNetworkInfluenceMaximization.IEEETransactionsonKnowledgeandDataEngineering(TKDE),Vol.27,No.10,2015,2770-2783.
PengZhang,ChuanZhou,PengWang,ByronJ.Gao,XingquanZhu,andLiGuo.E-Tree:anefficientindexingstructureforensemblemodelsondatastreams.IEEETransactionsonKnowledgeandDataEngineering(TKDE),Vol.27,No.2,2015,461-474.
Wei-XueLu,PengZhang,ChuanZhou,ChunyiLi,andLiGao.BigNetworkInfluenceMaximization:AnIncrementalAlgorithmforStreamingSubgraphInfluenceSpreadEstimation.InProceedingsoftheTwenty-FourthInternationalJointConferenceonArtificialIntelligence(IJCAI2015),Pages2076-2082.
WenyuZang,PengZhang,ChuanZhou,andLiGuo.LocatingMultipleSourcesinSocialNetworksundertheSIRModel:ADivide-and-ConquerApproach.JournalofComputationalScience,Vol.10,September2015,Pages278-287.
PengWang,PengZhang,ChuanZhou,ZhaoLi,andLiGuo.ModelingInfiniteTopicsonSocialBehaviorDatawithSpatio-temporalDependence.InProceedingsofthe24thACMInternationalConferenceonInformationandKnowledgeManagement(CIKM2015),Pages1919-1922.
QipengYao,ChuanZhou,RuishengShi,PengWang,andLiGuo.Topic-awareSocialInfluenceMinimization.InProceedingsofthe24thInternationalConferenceonWorldWideWeb(WWW-15)Companion,Pages139-140.
WenyuZang,PengZhang,ChuanZhou,andLiGuo.Topic-awareSourceLocatinginSocialNetworks.InProceedingsofthe24thInternationalConferenceonWorldWideWeb(WWW-15)Companion,Pages141-142.
WeiweiFeng,PengWang,ChuanZhou,PengZhang,andLiGuo.FastSearchforDistanceDependentChineseRestaurantProcesses.InProceedingsofthe24thInternationalConferenceonWorldWideWeb(WWW-15)Companion,Pages33-34.
XiancaiJi,MingzeXu,PengZhang,ChuanZhou,ZhiQiao,andLiGuo.OnlineEventRecommendationforEvent-basedSocialNetworks.InProceedingsofthe24thInternationalConferenceonWorldWideWeb(WWW-15)Companion,Pages45-46.
PengWang,ChuanZhou,PengZhang,WeiweiFeng,LiGuo,andBinxingFang.EvolvingChineseRestaurantProcessesforModelingEvolutionaryTracesinTemporalData.InProceedingsofthe19thPacific-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD-15),Pages79-91.
ChuanZhou,RuishengShi,WenyuZang,andLiGuo.EfficientSensorPlacementOptimizationforEarlyDetectionofContagiousOutbreaksinMobileSocialNetworks.InProceedingsoftheIEEE4thInternationalConferenceonMobileServices(IEEEMS2015),Pages261-268.
2014
ZhiQiao,PengZhang,WenjiaNiu,ChuanZhou,PengWang,andLiGuo.OnlineNonparametricMax-MarginMatrixFactorizationforCollaborativePrediction.InProceedingsofthe14thIEEEInternationalConferenceonDataMining(ICDM-14),Pages520-529.
ZhiQiao,PengZhang,YananCao,ChuanZhou,LiGuo,andBinxingFang.CombiningHeterogenousSocialandGeographicalInformationforEventRecommendation.InProceedingsofthe28thAAAIConferenceonArtificialIntelligence(AAAI-14),Pages145-151.
ZhiQiao,PengZhang,ChuanZhou,YananCao,andLiGuo.EventRecommendationinEvent-basedSocialNetworks.InProceedingsofthe28thAAAIConferenceonArtificialIntelligence(AAAI-14),Pages3130-3131.
ChuanZhou,PengZhang,JingGuo,andLiGuo.AnUpperBoundbasedGreedyAlgorithmforMiningTop-kInfluentialNodesinSocialNetworks.InProceedingsofthe23rdInternationalConferenceonWorldWideWeb(WWW-14)Companion,Pages421-422.
ChuanZhou,PengZhang,WenyuZang,andLiGuo.MaximizingtheLong-termIntegralInfluenceinSocialNetworksUndertheVoterModel.InProceedingsofthe23rdInternationalConferenceonWorldWideWeb(WWW-14)Companion,Pages423-424.
ZhiQiao,PengZhang,JingHe,YananCao,ChuanZhou,andLiGuo.CombiningGeographicalInformationofUsersandContentofItemsforAccurateRatingPrediction.InProceedingsofthe23rdInternationalConferenceonWorldWideWeb(WWW-14)Companion,Pages361-362.
WenyuZang,PengZhang,ChuanZhou,andLiGuo.ComparativeStudybetweenIncrementalandEnsembleLearningondatastreams:Casestudy.JournalofBigData20141:5.
ChuanZhou,PengZhang,WenyuZang,andLiGuo.MaximizingtheCumulativeInfluencethroughaSocialNetworkwhenRepeatActivationExists.ProcediaComputerScience(The14thInternationalConferenceonComputationalScience(ICCS-14),Volume29,2014,Pages422–431.
WenyuZang,PengZhang,ChuanZhou,andLiGuo.DiscoveringMultipleDiffusionSourceNodesinSocialNetworks.ProcediaComputerScience(The14thInternationalConferenceonComputationalScience(ICCS-14),Volume29,2014,Pages443–452.(BestMainTrackPaperAward)
ZhiQiao,PengZhang,YananCao,ChuanZhou,andLiGuo.ImprovingCollaborativeRecommendationviaLocation-basedUser-ItemSubgroup.ProcediaComputerScience(The14thInternationalConferenceonComputationalScience(ICCS-14),Volume29,2014,Pages400–409.
ChuanZhouandLiGuo.ANoteonInfluenceMaximizationinSocialNetworksfromLocaltoGlobalandBeyond.ProcediaComputerScience(The1thInternationalConferenceonDataScience(ICDS-14)),Volume30,2014,Pages81-87.
郭静，张鹏，方滨兴，周川，曹亚男，郭莉.基于LT模型的个性化关键传播用户挖掘.计算机学报，第37卷，第4期，2014年4月，809-818.（JingGuo,PengZhang,BinxingFang,ChuanZhou,YananCao,andLiGuo.PersonalizedkeypropagatingusersminingbasedonLTmodel.ChineseJournalofComputers,Vol.37,No.4,Apr.2014,809-818.）
郭静，曹亚男，周川，张鹏，郭莉.基于线性阈值模型的影响力传播权重学习.电子与信息学报，第36卷，第8期，2014年8月，1804-1809.（JingGuo,YananCao,ChuanZhou,PengZhang,andLiGuo.Influenceweightslearningunderlinearthresholdmodelinsocialnetworks.JournalofElectronicsandInformationTechnology,Vol.36,No.8,Aug.2014,1804-1809.）
WenyuZang,ChuanZhou,XiaoWang,andLiGuo.TopicBlock:MiningUserInnerInterestsforTextandLinkAnalysisinSocialNetworks.InProceedingsofthe15thInternationalConferenceonParallelandDistributedComputing,ApplicationsandTechnologies(PDCAT-14),Pages159-165.
QipengYao,ChuanZhou,LinboXiang,YananCao,andLiGuo.MinimizingtheNegativeInfluenceByBlockingLinksinSocialNetworks.TrustworthyComputingandServices(InternationalConference,ISCTCS2014),SeriesVolume520,Pages65-73.
WeiweiFeng,PengWang,ChuanZhou,YueHu,andLiGuo.NonparametricTopic-awareSparsificationofInfluenceNetworks.TrustworthyComputingandServices(InternationalConference,ISCTCS2014),SeriesVolume520,Pages83-90.
2013andbefore
ChuanZhou,PengZhang,JingGuo,XingquanZhu,andLiGuo.UBLF:AnUpperBoundBasedApproachtoDiscoverInfluentialNodesinSocialNetworks.InProceedingsofthe13thIEEEInternationalConferenceonDataMining(ICDM-13),Pages907-916.
JingGuo,PengZhang,ChuanZhou,YananCao,andLiGuo.PersonalizedInfluenceMaximizationonSocialNetworks.InProceedingsofthe22ndInternationalConferenceonInformationandKnowledgeManagement(CIKM-13),Pages199-208.
JingGuo,PengZhang,ChuanZhou,YananCao,andLiGuo.Item-basedTop-KInfluentialUsersDiscoveringinSocialNetworks.InProceedingsofthe2013IEEE13thInternationalConferenceonDataMiningWorkshops(ICDMW-13),Pages780-787.
YutingLiu,Zhi-MingMa,andChuanZhou.FurtherStudyonWebMarkovSkeletonProcesses.In:InterdisciplinaryMathematicalSciences:Volume13,StochasticAnalysisandApplicationstoFinance,EssaysinHonourofJia-anYan(2012),313-339.
Yuting.Liu,Zhi-MingMa,andChuanZhou.WebMarkovSkeletonProcessesandTheirApplications.TohokuMath.J(2)Volume63,Number4,Dec.2011,665-695.
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