山西大学智能信息处理研究所
[1]JieWang,JiyeLiang*,KaixuanYao,JianqingLiang,DianhuiWang.Graphconvolutionalautoencoderswithco-learningofgraphstructureandnodeattributes,PatternRecognition,2022,121,108215.
[2]JiyeLiang,JunbiaoCui,JieWang,WeiWei.Graph-basedsemi-supervisedlearningviaimprovingthequalityofthegraphdynamically.MachineLearning,2021,110:1345–1388
[3]LiangBai,JiyeLiang*,FuyuanCao,Semi-supervisedclusteringwithconstraintsofdifferenttypesfrommultipleinformationsources,IEEETransactionsonPatternAnalysisandMachineIntelligence,2021,43(9):3247-3258.
[4]JiyeLiang*,YunshengSong,DeyuLi,ZhiqiangWang,ChuangyinDang,Anacceleratorforthelogisticregressionalgorithmbasedonsamplingon-demand,SCIENCECHINAInformationSciences,2020,63(6):169102.
[5]LiangBai,JiyeLiang*,Sparsesubspaceclusteringwithentropy-norm,Proceedingsofthe37thInternationalConferenceonMachineLearning(ICML),2020.
[6]LiangBai,JiyeLiang*,Athree-leveloptimizationmodelfornonlinearlyseparableclustering,Proceedingsofthe34thAAAIConferenceonArtificialIntelligence(AAAI),2020.
[7]JingLiu,FuyuanCao,XiaozhiGao,LiqinYu,JiyeLiang*,Acluster-weightedkernelk-meansmethodformulti-viewclustering,Proceedingsofthe34thAAAIConferenceonArtificialIntelligence(AAAI),2020.
[8]LiangBai,JiyeLiang*,HangyuanDu,YikeGuo,Aninformation-theoreticalframeworkforclusterensemble,IEEETransactionsonKnowledgeandDataEngineering,2019,31(8):1464-1477.
[9]LiangBai,JiyeLiang*,YikeGuo,Anensembleclustererofmultiplefuzzyk-meansclusteringstorecognizearbitrarilyshapedclusters,IEEETransactionsonFuzzySystems,2018,26(6):3524-2533.
[10]ZhiqiangWang,JiyeLiang*,RuLi,YuhuaQian,Anapproachtocold-startlinkprediction:Establishingconnectionsbetweennon-topologicalandtopologicalinformation,IEEETransactionsonKnowledgeandDataEngineering,2016,28(11):2857-2870.
[11]梁吉业*,冯晨娇,宋鹏,大数据相关分析综述,计算机学报,2016,39(1):1-18.
[12]LiangBai,JiyeLiang*,Clustervalidityfunctionsforcategoricaldata:asolution-spaceperspective,DataMiningandKnowledgeDiscover,2015,29:1560-1597.
[13]梁吉业*,钱宇华,李德玉,胡清华,大数据挖掘的粒计算理论与方法,中国科学:信息科学,2015,45(11):1355-1369.
[14]JiyeLiang,FengWang,ChuangyinDang,YuhuaQian,Agroupincrementalapproachtofeatureselectionapplyingroughsettechnique,IEEETransactionsonKnowledgeandDataEngineering,2014,26(2):294-308.
[15]JiyeLiang,XingwangZhao,DeyuLi,FuyuanCao,ChuangyinDang,Determiningthenumberofclustersusinginformationentropyformixeddata.PatternRecognition,2012,45:2251–2265.
[16]JiyeLiang,LiangBai,ChuangyinDang,FuyuanCao,Thek-means-typealgorithmsversusimbalanceddatadistributions,IEEETransactionsonFuzzySystems,2012,20(4):728-745.
[17]JiyeLiang,FengWang,ChuangyinDang,YuhuaQian.Anefficientroughfeatureselectionalgorithmwithamulti-granulationview,InternationalJournalofApproximateReasoning.2012,53:912-926.
[18]YuhuaQian,JiyeLiang*,WitoldPedrycz,ChuangyinDang,Positiveapproximation:Anacceleratorforattributereductioninroughsettheory,ArtificialIntelligence,2010,174:597-618.
[19]JiyeLiang,YuhuaQian.Informationgranulesandentropytheoryininformationsystems.ScienceinChina,SeriesF:InformationSciences,2008,51(10):1427-1444.
[20]梁吉业,钱宇华,信息系统中的信息粒与熵理论,中国科学E辑:信息科学,2008,38(12):2048-2065.