个人简介

梁吉业，男，1962年1月生，博士，教授，博士生导师，中国计算机学会（CCF）会士，山西大学副校长（正校级），山西大学计算智能与中文信息处理教育部重点实验室主任，教育部计算机类专业教学指导委员会委员，中国计算机学会理事，中国人工智能学会理事，中国人工智能学会知识工程与分布智能专业委员会副主任委员，中国计算机学会大数据专家委员会委员，山西省计算机学会理事长，大数据挖掘与智能技术山西省协同创新中心主任，享受国务院政府特殊津贴专家。任国际学术期刊《InternationalJournalofComputerScienceandKnowledgeEngineering》、国内学术期刊《计算机研究与发展》与《模式识别与人工智能》编委。是山西省高等学校优秀创新团队带头人、山西省首批科技创新重点团队带头人；首批入选山西省高等学校中青年拔尖创新人才、山西省新世纪学术技术带头人333人才工程；获得山西省五一劳动奖章、第五届山西省青年科学家奖、山西省模范教师、山西省优秀研究生导师等多项荣誉称号。 1983年本科毕业于山西大学，获学士学位；1990年、2001年研究生毕业于西安交通大学，分别获硕士、博士学位；2002年至2004年在中国科学院计算技术研究所从事博士后研究工作。先后赴美国、德国、瑞士、瑞典、加拿大、日本、香港等国家和地区的大学进行学术访问和合作研究。 主要从事人工智能、数据挖掘与机器学习、智能决策等方面的教学科研工作。近年来，先后主持国家863计划项目2项、国家自然科学基金项目7项（其中重点基金项目2项），973计划前期研究专项1项、骨干项目2项，教育部博士点专项基金项目（博导类）2项，省部级项目20余项。在《ArtificialIntelligence》、《IEEETransactionsonPatternAnalysisandMachineIntelligence》、《IEEETransactionsonKnowledgeandDataEngineering》、《PatternRecognition》、《NeuralNetworks》、《IEEETransactionsonFuzzySystems》、《IEEETransactionsonSystems,ManandCybernetics-PartA》、《Omega:theInternationalJournalofManagementScience》、《InformationSciences》、《中国科学》、《计算机学报》、《中国管理科学》等国际国内重要学术刊物发表论文200余篇，其中SCI收录120余篇；由科学出版社出版著作2部；获国家发明专利8项。作为第一完成人获山西省自然科学一等奖2项、第五届中国国际发明展览会金奖1项。2014年—2018年，连续入选爱思唯尔中国高被引学者榜单。指导的博士生获得全国百篇优秀博士学位论文提名奖、中国计算机学会优秀博士学位论文奖、中国人工智能学会优秀博士学位论文奖、中国中文信息学会优秀博士学位论文奖。

研究领域

研究方向：数据挖掘、机器学习、智能计算、智能决策

科研项目 1.国家自然科学基金重点项目(No.61432011):面向大数据的粒计算理论与方法,2015.01－2019.12,(主持人) 2.国家自然科学基金重点项目(No.71031006):高维复杂数据分析理论及其在投资决策中的应用,2011.01－2014.12,(主持人) 3.973计划前期研究专项(No.2011CB11805):基于认知机理的高维复杂数据建模理论与方法,2011.01-2012.12,(主持人) 4.高等学校博士学科点专项科研基金(No.20101401110002):基于粒计算的符号数据分析方法研究,2011.01-2013.12,(主持人) 5.国家863计划项目(No.2007AA01Z165):面向高维复杂数据的粒度计算理论与算法研究,2007.10－2009.12,(主持人) 6.国家863计划项目(No.2004AA115460):专家系统及计算机软硬件系统评价技术研究,2004.10－2005.12,(主持人) 7.国家自然科学基金项目(No.70971080):面向复杂数据的粗糙集多属性/多准则决策分析研究,2010.01－2012.12,(主持人) 8.国家自然科学基金项目(No.60773133):复杂信息系统的粒度结构与知识获取研究,2008.01－2010.12,(主持人) 9.国家自然科学基金项目(No.70471003):基于软计算技术的不确定性决策方法研究,2005.01－2007.12,(主持人) 10.国家自然科学基金项目(No.60275019):粗糙集理论中的不确定性、模糊性与知识获取,2003.01－2005.12,(主持人) 11.高等学校博士学科点专项科研基金(No.20050108004):基于软计算技术的粒度计算理论和方法的研究,2006.01－2008.12,(主持人) 12.教育部科学技术研究重点项目:基于粒度计算的不确定性信息处理的理论与方法研究,2006.01－2008.12,(主持人)

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1]ZhiqiangWang,JiyeLiang,RuLi.Exploitinguser-to-usertopicinclusiondegreeforlinkpredictioninsocial-informationnetworks,ExpertSystemswithApplications,2018,108:143-158. [2]LiangBai,JiyeLiang,YikeGuo.Anensembleclustererofmultiplefuzzyk-meansclusteringstorecognizearbitrarilyshapedclusters,IEEETransactionsonFuzzySystems,2018,DOI10.1109/TFUZZ.2018.2835774.. [3]ZhiqiangWang,JiyeLiang,RuLi.Afusionprobabilitymatrixfactorizationframeworkforlinkprediction,Knowledge-BasedSystems,2018,10.1016/j.knosys.2018.06.005. [4]YinfengMeng,JiyeLiang,FuyuanCao,YijunHe.Anewdistancewithderivativeinformationforfunctionalk-meansclusteringalgorithm,InformationSciences,2018,10.1016/j.ins.2018.06.035. [5]LiangBai,JiyeLiang,HangyuanDu,YikeGuo.Anovelcommunitydetectionalgorithmbasedonsimplificationofcomplexnetworks,Knowledge-BasedSystems,2018,doi.org/10.1016/j.knosys.2017.12.007. [6]张凯涵,梁吉业,赵兴旺,王智强.一种基于社区专家信息的协同过滤推荐算法,计算机研究与发展,2018,55(5):968-976. [7]XingwangZhao,FuyuanCao,JiyeLiang.Asequentialensembleclusteringsgenerationalgorithmformixeddata,AppliedMathematicsandComputation,2018,335:264–277. [8]FuyuanCao,JoshuaZhexueHang,JiyeLiang,XingwangZhao,YinfengMeng.AnAlgorithmforClusteringCategoricalDatawithSet-valuedFeatures,IEEETransactionsonNeuralNetworksandLearningSystems,2018,(DOI:10.1109/TNNLS.2017.2770167). [9]WeiWei,XiaoyingWu,JiyeLiang,JunbiaoCui,YijunSun.Discernibilitymatrixbasedincrementalattributereductionfordynamicdata,Knowledge-BasedSystems,2018,140:142-157. [10]XiaoqiangGuan,JiyeLiang,YuhuaQian,JifangPang.Amulti-viewOVAmodelbasedondecisiontreeformulti-classificationtasks,Knowledge-BasedSystems,2017,138:208–219. [11]XingwangZhao,JiyeLiang,ChuangyinDang.Clusteringensembleselectionforcategoricaldatabasedoninternalvalidityindices,PatternRecognition,2017,69:150–168. [12]JifangPang,JiyeLiang,PengSong.Anadaptiveconsensusmethodformulti-attributegroupdecisionmakingunderuncertainlinguisticenvironment,AppliedSoftComputing,2017,58:339-353. [13]YunshengSong,JiyeLiang,JingLu,XingwangZhao.Anefficientinstanceselectionalgorithmforknearestneighborregression,Neurocomputing,2017,251:26-34. [14]FuyuanCao,JoshuaZhexueHuang,JiyeLiang.AfuzzySV-k-modesalgorithmforclusteringcategoricaldatawithset-valuedattributes,AppliedMathematicsandComputation,2017,295:1–15. [15]YuhuaQian,HonghongCheng,JietingWang,JiyeLiang,WitoldPedrycz,ChuangyinDang.Groupinggranularstructuresinhumangranulationintelligence,InformationSciences,2017,382-383:150–169. [16]LiangBai,XueqiChen,JiyeLiang,HuaweiShen,YikeGuo.Fastdensityclusteringstrategiesbasedonthek-meansalgorithm,PatternRecognition,2017,71:375–386. [17]LiangBai,XueqiCheng,JiyeLiang,YikeGuo.Fastgraphclusteringwithanewdescriptionmodelforcommunitydetection,InformationSciences,2017,388-389:37–47. [18]JieWang,WenpingZheng,YuhuaQian,JiyeLiang.Aseedexpansiongraphclusteringmethodforproteincomplexesdetectioninproteininteractionnetworks,Molecules,2017,22:2179. [19]FeijiangLi,YuhuaQian,JietingWang,JiyeLiang.Multigranulationinformationfusion:ADempster-Shaferevidencetheory-basedclusteringensemblemethod,InformationSciences,2017,378:389–409. [20]FuyuanCao,LiqinYu,JoshuaZhexueHuang,JiyeLiang.k-mw-modes:analgorithmforclusteringcategoricalmatrix-objectdata,AppliedSoftComputing,2017,57:605-614. [21]YuhuaQian,XinyanLiang,GuopingLin,QianGuo,JiyeLiang.Localmultigranulationdecision-theoreticroughsets,InternationalJournalofApproximateReasoning,2017,82:119-137. [22]梁吉业,钱宇华,李德玉,胡清华.面向大数据的粒计算理论与方法研究进展,大数据,2016,4:13-23. [23]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. [24]YanliSang,JiyeLiang,YuhuaQian.Decision-theoreticroughsetsunderdynamicgranulation,Knowledge-BasedSystems,2016,91:84-92. [25]GuopingLin,JiyeLiang,YuhuaQian,JinjinLi.Afuzzymultigranulationdecision-theoreticapproachtomulti-sourcefuzzyinformationsystems,Knowledge-BasedSystems,2016,91:102-113. [26]YinfengMeng,JiyeLiang,YuhuaQian.Comparisonstudyoforthonormalrepresentationsoffunctionaldatainclassification,Knowledge-BasedSystems,2016,97:224–236. [27]FengWang,JiyeLiang.Anefficientfeatureselectionalgorithmforhybriddata,Neurocomputing,2016,193:33–41. [28]ZhiqiangWang,JiyeLiang,RuLi,YuhuaQian.Anapproachtocold-startlinkprediction:establishingconnectionsbetweennon-topologicalandtopologicalinformation,IEEETransactionsonKnowledgeandDataEngineering,2016,28(11):2857-2870. [29]史倩玉,梁吉业,赵兴旺.一种不完备混合数据集成聚类算法,计算机研究与发展,2016,53(9):1979-1989. [30]赵兴旺,梁吉业.一种基于信息熵的混合数据属性加权聚类算法,计算机研究与发展,2016,53(5):1018-1028. [31]王宝丽,梁吉业,胡运红.基于粒计算的犹豫模糊多准则决策方法,模式识别与人工智能,2016,29(3):252-262. [32]郭兰杰,梁吉业,赵兴旺.融合社交网络信息的协同过滤推荐算法,模式识别与人工智能,2016,29(3):281-288. [33]梁晋,梁吉业,赵兴旺.一种面向大规模社会网络的社区发现算法,南京大学学报(自然科学版),2016,52(1):159-166. [34]LiangBai,XueqiCheng,JiyeLiang,HuaweiShen.Anoptimizationmodelforclusteringcategoricaldatastreamswithdriftingconcepts,IEEETransactionsonKnowledgeandDataEngineering,2016,28(11):2871-2883. [35]WeiWei,JunbiaoCui,JiyeLiang,JunhongWang.Fuzzyroughapproximationsforset-valueddata,InformationSciences,2016,360:181–201. [36]YuhuaQian,FeijiangLi,JiyeLiang,BingLiu,ChuangyinDang.Spacestructureandclusteringofcategoricaldata,IEEETransactionsonNeuralNetworksandLearningSystems,2016,27(10):2047-2059. [37]王智强,李茹,梁吉业,张旭华,武娟,苏娜.基于汉语篇章框架语义分析的阅读理解问答研究,计算机学报,2016,39(4):795-807. [38]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(E辑:信息科学),2015,45(11):1355-1369. [39]LiangBai,JiyeLiang.Clustervalidityfunctionsforcategoricaldata:asolution-spaceperspective,DataMiningandKnowledgeDiscovery,2015,29(6):1560-1597. [40]YuhuaQian,JiyeLiang,ChuangyinDang.Fuzzygranularstructuredistance,IEEETransactionsonFuzzySystems,2015,23(6):2245-2259. [41]GuopingLin,JiyeLiang,YuhuaQian.Aninformationfusionapproachbycombiningmultigranulationroughsetsandevidencetheory,InformationSciences,2015,314:184–199. [42]BaoliWang,JiyeLiang,YuhuaQian,ChuangyinDang.Anormalizednumericalscalingmethodfortheunbalancedmulti-granularlinguisticsets,InternationalJournalofUncertainty,FuzzinessandKnowledge-BasedSystems,2015,23(2):221-243. [43]GuopingLin,JiyeLiang,YuhuaQian.Uncertaintymeasuresformultigranulationapproximationspace,InternationalJournalofUncertainty,FuzzinessandKnowledge-BasedSystems,2015,23(3):443–457. [44]XiaofangGao,JiyeLiang.Animprovedincrementalnonlineardimensionalityreductionforisometricdataembedding,InformationProcessingLetters,2015,115(4):492–501. [45]王杰,梁吉业,郑文萍.一种面向蛋白质复合体检测的图聚类方法,计算机研究与发展,2015,52(8):1784-1793. [46]林国平,梁吉业,李进金.多源决策信息系统的决策规则性能评价,模式识别与人工智能,2015,28(7):657-664. [47]YuhuaQian,HangXu,JiyeLiang,BingLiu,JietingWang.Fusingmonotonicdecisiontrees,IEEETransactionsonKnowledgeandDataEngineering,2015,27(10):2717-2728. [48]WeiWei,JunhongWang,JiyeLiang,XinMi,ChuangyinDang.Compacteddecisiontablesbasedattributereduction,Knowledge-BasedSystems,2015,86:261-277. [49]YuhuaQian,QiWang,HonghongCheng,JiyeLiang,ChuangyinDang.Fuzzy-roughfeatureselectionaccelerator,FuzzySetsandSystems,2015,258:61–78. [50]JiyeLiang,FengWang,ChuangyinDang,YuhuaQian.Agroupincrementalapproachtofeatureselectionapplyingroughsettechnique,IEEETransactionsonKnowledgeandDataEngineering,2014,26(2):294-308. [51]LiangBai,JiyeLiang.Thek-modestypeclusteringplusbetween-clusterinformationforcategoricaldata,Neurocomputing,2014,133:111–121. [52]BaoliWang,JiyeLiang,YuhuaQian.Preorderinformationbasedattributesweightslearninginmulti-attributedecisionmaking,FundamentaInformaticae,2014,132:331-347. [53]GuopingLin,JiyeLiang,YuhuaQian.Topologicalapproachtomultigranulationroughsets,InternationalJournalofMachineLearningandCybernetics,2014,5(2):233-243. [54]XingwangZhao,JiyeLiang,FuyuanCao.Asimpleandeffectiveoutlierdetectionalgorithmforcategoricaldata,InternationalJournalofMachineLearningandCybernetics,2014,5(3):469–477. [55]郭一鹏,梁吉业,赵兴旺.基于MapReduce的混合数据孤立点检测算法,小型微型计算机系统,2014,35(9):1961-1966. [56]XinLiu,YuhuaQian,JiyeLiang.Arule-extractionframeworkundermultigranulationroughsets,InternationalJournalofMachineLearningandCybernetics,2014,5(2):319-326. [57]YuhuaQian,ShunyongLi,JiyeLiang,ZhongzhiShi,FengWang.Pessimisticroughsetbaseddecisions:Amultigranulationfusionstrategy,InformationSciences,2014,264:196–210. [58]FuyuanCao,JoshuaZhexueHuang,JiyeLiang.Trendanalysisofcategoricaldatastreamswithaconceptchangemethod,InformationSciences,2014,276:160–173. [59]YuhuaQian,HuZhang,YanliSang,JiyeLiang.Multigranulationdecision-theoreticroughsets,InternationalJournalofApproximateReasoning,2014,55:225-237. [60]YuhuaQian,HuZhang,FeijiangLi,QinghuaHu,JiyeLiang.Set-BasedGranularComputing:aLatticeModel,InternationalJournalofApproximateReasoning,2014,55(3):834–852. [61]JiyeLiang,JunrongMi,WeiWei,FengWang.Anacceleratorforattributereductionbasedonperspectiveofobjectsandattributes,Knowledge-BasedSystems,2013,44:90–100. [62]WeiWei,JiyeLiang,JunhongWang,YuhuaQian.Decision-relativediscernibilitymatrixesinthesenseofentropies,InternationalJournalofGeneralSystems,2013,42(7):721-738. [63]WeiWei,JiyeLiang,YuhuaQian,ChuangyinDang.Canfuzzyentropiesbeeffectivemeasuresforevaluatingtheroughnessofaroughset,InformationSciences,2013,232:143-166. [64]GuopingLin,JiyeLiang,YuhuaQian.Multigranulationroughsets:frompartitiontocovering,InformationSciences,2013,241:101-118. [65]LiangBai,JiyeLiang,ChaoSui,ChuangyinDang.Fastglobalk-meansclusteringbasedonlocalgeometricalinformation,InformationSciences,2013,245:168–180. [66]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.Anovelfuzzyclusteringalgorithmwithbetween-clusterinformationforcategoricaldata,FuzzySetsandSystems,2013,215:55–73. [67]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.TheimpactofclusterrepresentativesontheconvergenceoftheK-Modestypeclustering,IEEETransactionsonPatternAnalysisandMachineIntelligence,2013,35(6):1509-1522. [68]FengWang,JiyeLiang,YuhuaQian.Attributereduction:Adimensionincrementalstrategy,Knowledge-BasedSystems,2013,39:95-108. [69]FengWang,JiyeLiang,ChuangyinDang.Attributereductionfordynamicdatasets,AppliedSoftComputing,2013,13(1):676-689. [70]FuyuanCao,JiyeLiang,DeyuLi,XingwangZhao.Aweightingk-Modesalgorithmforsubspaceclusteringofcategoricaldata,Neurocomputing,2013,108:23-30. [71]高小方,梁吉业.基于等维度独立多流形的DC-ISOMAP算法,计算机研究与发展,2013,50(8):1690~1699. [72]刘杨磊,梁吉业,高嘉伟,杨静.基于Tri-training的半监督多标记学习算法,智能系统学报,2013,8(5):439-445. [73]李茹,王智强,李双红,梁吉业,CollinBaker.基于框架语义分析的汉语句子相似度计算,计算机研究与发展,2013,50(8):1728~1736. [74]JiyeLiang,FengWang,ChuangyinDang,YuhuaQian.Anefficientroughfeatureselectionalgorithmwithamulti-granulationview,InternationalJournalofApproximateReasoning,2012,53:912-926. [75]JiyeLiang,LiangBai,ChuangyinDang,FuyuanCao.Thek-means-typealgorithmsversusimbalanceddatadistributions,IEEETransactionsonFuzzySystems,2012,20(4):728-745. [76]JiyeLiang,RuLi,YuhuaQian.Distance:amorecomprehensibleperspectiveformeasuresinroughsettheory,Knowledge-BasedSystems,2012,27:126-136. [77]JiyeLiang,XingwangZhao,DeyuLi,FuyuanCao,ChuangyinDang.Determiningthenumberofclustersusinginformationentropyformixeddata,PatternRecognition,2012,45(6):2251–2265. [78]PengSong,JiyeLiang,YuhuaQian.Atwo-gradeapproachtorankingintervaldata,Knowledge-BasedSystems,2012,27:234-244. [79]WeiWei,JiyeLiang,YuhuaQian.Acomparativestudyofroughsetsforhybriddata,InformationSciences,2012,190(5):1-16. [80]JifangPang,JiyeLiang.Evaluationoftheresultsofmulti-attributegroupdecision-makingwithlinguisticinformation,Omega,2012,40:294-301. [81]FuyuanCao,JiyeLiang,DeyuLi,LiangBai,ChuangyinDang.Adissimilaritymeasureforthek-Modesclusteringalgorithm,Knowledge-BasedSystems,2012,26:120-127. [82]YuhuaQian,JiyeLiang,PengSong,ChuangyinDang,WeiWei.Evaluationofthedecisionperformanceofthedecisionrulesetfromanordereddecisiontable,Knowledge-BasedSystems,2012,36:39–50. [83]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.Aclustercentersinitializationmethodforclusteringcategoricaldata.,ExpertSystemswithApplications,2012,39(9):8022-8029. [84]YuhuaQian,JiyeLiang,WeizhiWu,ChuangyinDang.Partialorderingsofinformationgranulations:afurtherinvestigation,ExpertSystems,2012,29(1):3-24. [85]YuhuaQian,JiyeLiang,WeiWei.Consistency-preservingattributereductioninfuzzyroughsetframework,InternationalJournalofMachineLearningandCybernetics,2012,2012:45-53. [86]白雪飞,王文剑,梁吉业.基于区域显著性的活动轮廓分割模型,计算机研究与发展,2012,49(12):2686-2695. [87]YuhuaQian,JiyeLiang,WeizhiWu,ChuangyinDang.InformationgranularityinfuzzybinaryGrCmodel,IEEETransactionsonFuzzySystems,2011,19(2):253–264. [88]LiangBai,JiyeLiang,ChuangyinDang,FuyuanCao.Anovelattributeweightingalgorithmforclusteringhigh-dimensionalcategoricaldata,PatternRecognition,2011,44(12):2843-2861. [89]LiangBai,JiyeLiang,ChuangyinDang.Aninitializationmethodtosimultaneouslyfindinitialclustercentersandthenumberofclustersforclusteringcategoricaldata,Knowledge-BasedSystems,2011,24(6):785-795. [90]YuhuaQian,JiyeLiang,WitoldPedrycz,ChuangyinDang.Anefficientacceleratorforattributereductionfromincompletedatainroughsetframework,PatternRecognition,2011,44(8):1658–1670. [91]FuyuanCao,JiyeLiang.Adatalabelingmethodforclusteringcategoricaldata,ExpertSystemswithApplications,2011,38(3):2381-2385. [92]XiaofangGao,JiyeLiang.Thedynamicalneighborhoodselectionbasedonthesamplingdensityandmanifoldcurvatureforisometricdataembedding,PatternRecognitionLetters,2011,32(2):202-209. [93]钱宇华,梁吉业,王锋.面向非完备决策表的正向近似特征选择加速算法,计算机学报,2011,34(3):435-442. [94]谭红叶,郑家恒,梁吉业.时间关系识别研究进展,中文信息学报,2011,25(5):44-52. 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学术兼职

教育部计算机类专业教学指导委员会委员，中国计算机学会理事，中国人工智能学会理事，中国人工智能学会知识工程与分布智能专业委员会副主任委员，中国计算机学会大数据专家委员会委员，山西省计算机学会理事长