个人简历
白亮，博士，教授，硕士生导师，2012年毕业于山西大学计算机与信息技术学院，获计算机应用技术专业博士学位。2010-2011年在香港城市大学担任研究助理工作。2014-2016年在中科院计算所网络数据科学与技术重点实验室进行博士后研究工作，2016-2017年在英国帝国理工学院数据科学研究所做访问学者。目前，工作于山西大学计算机与信息技术学院和智能信息处理研究所，研究方向为无监督机器学习和社会网络分析，先后在IEEETPAMI、IEEETKDE、IEEETFS和DMKD等国际重要学术期刊发表SCI论文20余篇，主持国家自然科学基金项目2项。所获奖项包括2015年山西省科学技术奖（自然科学类）一等奖和2014年中国人工智能学会优秀博士论文奖等。
研究领域
研究方向：无监督机器学习与社会网络分析"科研项目1、带参照物的聚类集成方法研究
近期论文
[1]LiangBai,JiyeLiang,HangyuanDu,YikeGuo.AnInformation-TheoreticalFrameworkforClusterEnsemble,IEEETransactionsonKnowledgeandDataEngineering,2019,DOI:10.1109/TKDE.2018.2865954.[2]LiangBai,JiyeLiang,YikeGuo.Anensembleclustererofmultiplefuzzyk-meansclusteringstorecognizearbitrarilyshapedclusters,IEEETransactionsonFuzzySystems,2018,26(6):3524-3533.[3]LiangBai,JiyeLiang,HangyuanDu,YikeGuo.Anovelcommunitydetectionalgorithmbasedonsimplificationofcomplexnetworks,Knowledge-BasedSystems,2018,143:58-64.[4]杜航原,王文剑,白亮.基于网络节点中心性度量的重叠社区发现算法,计算机研究与发展,2018,55(8):1619-1630.[5]LiangBai,XueqiChen,JiyeLiang,HuaweiShen,YikeGuo.Fastdensityclusteringstrategiesbasedonthek-meansalgorithm,PatternRecognition,2017,71:375–386.[6]LiangBai,XueqiCheng,JiyeLiang,YikeGuo.Fastgraphclusteringwithanewdescriptionmodelforcommunitydetection,InformationSciences,2017,388-389:37–47.[7]杜航原,王文剑,白亮.一种基于优化模型的演化数据流聚类方法,中国科学(E辑:信息科学),2017.11.01,47(11):1464-1482.[8]LiangBai,XueqiCheng,JiyeLiang,HuaweiShen.Anoptimizationmodelforclusteringcategoricaldatastreamswithdriftingconcepts,IEEETransactionsonKnowledgeandDataEngineering,2016,28(11):2871-2883.[9]LiangBai,JiyeLiang.Clustervalidityfunctionsforcategoricaldata:asolution-spaceperspective,DataMiningandKnowledgeDiscovery,2015,29(6):1560-1597.[10]HangyuanDu,WenjianWang,LiangBai.Observationnoisemodelingbasedparticlefilter:Anefficientalgorithmfortargettrackinginglintnoiseenvironment,Neurocomputing,2015,158:155–166.[11]LiangBai,JiyeLiang.Thek-modestypeclusteringplusbetween-clusterinformationforcategoricaldata,Neurocomputing,2014,133:111–121.[12]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.Anovelfuzzyclusteringalgorithmwithbetween-clusterinformationforcategoricaldata,FuzzySetsandSystems,2013,215:55–73.[13]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.TheimpactofclusterrepresentativesontheconvergenceoftheK-Modestypeclustering,IEEETransactionsonPatternAnalysisandMachineIntelligence,2013,35(6):1509-1522.[14]LiangBai,JiyeLiang,ChaoSui,ChuangyinDang.Fastglobalk-meansclusteringbasedonlocalgeometricalinformation,InformationSciences,2013,245:168–180.[15]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.Aclustercentersinitializationmethodforclusteringcategoricaldata.,ExpertSystemswithApplications,2012,39(9):8022-8029.[16]JiyeLiang,LiangBai,ChuangyinDang,FuyuanCao.Thek-means-typealgorithmsversusimbalanceddatadistributions,IEEETransactionsonFuzzySystems,2012,20(4):728-745.[17]FuyuanCao,JiyeLiang,DeyuLi,LiangBai,ChuangyinDang.Adissimilaritymeasureforthek-Modesclusteringalgorithm,Knowledge-BasedSystems,2012,26:120-127.[18]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.Anovelattributeweightingalgorithmforclusteringhigh-dimensionalcategoricaldata,PatternRecognition,2011,44(12):2843-2861.[19]LiangBai,JiyeLiang,ChuangyinDang.Aninitializationmethodtosimultaneouslyfindinitialclustercentersandthenumberofclustersforclusteringcategoricaldata,Knowledge-BasedSystems,2011,24(6):785-795.[20]梁吉业,白亮,曹付元.基于新的距离度量的K-Modes聚类算法,计算机研究与发展,2010,47(10):1749-1755.[21]FuyuanCao,JiyeLiang,LiangBai,XingwangZhao,ChuangyinDang.Aframeworkforclusteringcategoricaltime-evolvingdata,IEEETransactionsonFuzzySystems,2010,18(5):872-882.[22]FuyuanCao,JiyeLiang,LiangBai.Anewinitializationmethodforcategoricaldataclustering,ExpertSystemswithApplications,2009,36(7):10223-10228.
