电子科技大学计算机学刘峰林,康昭电子科技大学计算机科学与工程学院

个人简介

个人背景

硕士生导师&＃xff0c;中国计算机学会人工智能与模式识别专委会委员&＃xff0c;中国人工智能学会机器学习专委会委员。2017年5月博士毕业于美国南伊利诺伊大学计算机系。曾在韩国高等研究院、美国国家技术标准研究院、美国科罗拉多大学博尔德分校学习和研究物理。2017年7月&＃xff0c;加入电子科技大学&＃xff0c;从事教学科研工作。已在人工智能、模式识别、信息检索和数据挖掘领域的国际顶级会议和期刊发表论文30多篇&＃xff0c;包括AAAI、IJCAI、ICDE、CVPR、SIGKDD、ICDM、SDM、CIKM、IEEETransonCybernetics,ACMTIST、ACMTKDD、Neurocomputing、Knowledge-BasedSystems,PatternRecognition等。并多次受邀担任相关领域顶级期刊(如IEEETransactionsonCybernetics、IEEETNNLS)的审稿人和会议(如AAAI、IJCAI、ACMMM、ICDM、CIKM)程序委员会委员。荣获电子科大计算机学院2018年“卓越科研奖”&＃xff0c;“卓越人才奖”&＃xff0c;“卓越人才培养奖”&＃xff0c;“优秀共产党员”。

欢迎各位同学报考我的硕士研究生&＃xff0c;也欢迎想获得科研训练、发表论文的本科生联系我&＃xff0c;目前已有多名本科生给我合作了论文。

研究项目

1&＃xff1a;2019.1-2021.12&＃xff0c;复杂结构数据的相似度学习及其应用研究(No.61806045)

自然科学基金&＃xff0c;26万&＃xff0c;主持

2&＃xff1a;2018.1-2019.12&＃xff0c;高维数据的低维结构学习(No.ZYGX2017KYQD177)

中央高校基本科研业务费&＃xff0c;15万&＃xff0c;主持

教学工作

2018年秋&＃xff0c;机器学习2018年秋&＃xff0c;人工智能

个人简介

个人背景

硕士生导师&＃xff0c;中国计算机学会人工智能与模式识别专委会委员&＃xff0c;中国人工智能学会机器学习专委会委员。2017年5月博士毕业于美国南伊利诺伊大学计算机系。曾在韩国高等研究院、美国国家技术标准研究院、美国科罗拉多大学博尔德分校学习和研究物理。2017年7月&＃xff0c;加入电子科技大学&＃xff0c;从事教学科研工作。已在人工智能、模式识别、信息检索和数据挖掘领域的国际顶级会议和期刊发表论文30多篇&＃xff0c;包括AAAI、IJCAI、ICDE、CVPR、SIGKDD、ICDM、SDM、CIKM、IEEETransonCybernetics,ACMTIST、ACMTKDD、Neurocomputing、Knowledge-BasedSystems,PatternRecognition等。并多次受邀担任相关领域顶级期刊(如IEEETransactionsonCybernetics、IEEETNNLS)的审稿人和会议(如AAAI、IJCAI、ACMMM、ICDM、CIKM)程序委员会委员。荣获电子科大计算机学院2018年“卓越科研奖”&＃xff0c;“卓越人才奖”&＃xff0c;“卓越人才培养奖”&＃xff0c;“优秀共产党员”。

欢迎各位同学报考我的硕士研究生&＃xff0c;也欢迎想获得科研训练、发表论文的本科生联系我&＃xff0c;目前已有多名本科生给我合作了论文。

研究项目

1&＃xff1a;2019.1-2021.12&＃xff0c;复杂结构数据的相似度学习及其应用研究(No.61806045)

自然科学基金&＃xff0c;26万&＃xff0c;主持

2&＃xff1a;2018.1-2019.12&＃xff0c;高维数据的低维结构学习(No.ZYGX2017KYQD177)

中央高校基本科研业务费&＃xff0c;15万&＃xff0c;主持

教学工作

2018年秋&＃xff0c;机器学习2018年秋&＃xff0c;人工智能

研究领域

科研方向

从事人工智能和机器学习中的理论和方法设计等方面的工作&＃xff0c;并将所设计的方法应用于计算机视觉&＃xff0c;多媒体&＃xff0c;信息检索&＃xff0c;数据挖掘等领域的实际问题中。

研究领域

专业&＃xff1a;

研究方向&＃xff1a;

科研方向

从事人工智能和机器学习中的理论和方法设计等方面的工作&＃xff0c;并将所设计的方法应用于计算机视觉&＃xff0c;多媒体&＃xff0c;信息检索&＃xff0c;数据挖掘等领域的实际问题中。

研究领域和兴趣&＃xff1a;

近期论文

查看导师最新文章

(温馨提示&＃xff1a;请注意重名现象&＃xff0c;建议点开原文通过作者单位确认)

36&＃xff1a;MultiplePartitionsAlignedClustering,ZhaoKang,ZipengGuo,ShudongHuang,SiyingWang,WenyuChen,YuanzhangSu,ZenglinXu,The28thInternationalJointConferenceonArtificialIntelligence(IJCAI-19),Aug.2019,Macao,China.(Acceptrate17.9%)(CCFA类)(ZipengGuo为本科生)35:ClusteringwithSimilarityPreserving,ZhaoKang,HonghuiXu,BoyuWang,HongyuanZhu,ZenglinXu,Neurocomputing,2019.(JCR二区)(HonghuiXu为本科生)34:RES-PCA:AScalableApproachtoRecoveringLow-rankMatrices,CPeng,CChen,ZKang,JLi,QCheng,IEEEConferenceonComputerVisionandPatternRecognition(CVPR&＃39;2019).(Acceptrate25.2%)(CCFA类)33:Locality-constrainedgrouplassocodingformicrovesselimageclassification,JChen,SZhou,ZKang,QWen,PatternRecognitionLetters,2019.32:SimilarityLearningviaKernelPreservingEmbedding,ZhaoKang;YiweiLu;YuanzhangSu;ChangshengLi;ZenglinXu,TheThirty-ThirdAAAIConferenceonArtificialIntelligence(AAAI-19),Honolulu,Hawaii,Jan.2019.(Acceptrate16.2%)(CCFA类)(YiweiLu为本科生)31:RobustGraphLearningfromNoisyData,ZhaoKang,HaiqiPan,StevenC.H.Hoi,ZenglinXu,IEEETransactionsonCybernetics,2019.(JCR一区&＃xff0c;影响因子8.8)(HaiqiPan为本科生)30:TwoBirdswithOneStone:TransformingandGeneratingFacialImageswithIterativeGAN,DanMa,BinLiu,ZhaoKang,JiayuZhou&＃xff0c;JiankeZhu,ZenglinXu,Neurocomputing,2018.(JCR二区)29:Auto-weightedMulti-viewClusteringviaKernelizedGraphLearning,ShudongHuang,ZhaoKang,IvorW.Tsang,ZenglinXu,PatternRecognition,Volume88,April2019,Pages174-184.(JCR二区)28:Low-rankKernelLearningforGraph-basedClustering,ZhaoKang,LiangjianWen,WenyuChen,ZenglinXu,Knowledge-BasedSystems,Volume163,1January2019,Pages510-517.(JCR二区)27:RobustGraphLearningforSemi-SupervisedClassification,HaiqiPan,ZhaoKang,InternationalConferenceonIntelligentHuman-MachineSystemsandCybernetics(IHMSC2018),Hangzhou,China.(HaiqiPan为本科生)26:Low-rankKernelLearningforGraph-basedClustering,ZhaoKang,LiangjianWen,WenyuChen,ZenglinXu,Knowledge-BasedSystems,2018.(JCR二区)25:MultipleKernelLearningforGraph-basedClusteringandSemi-supervisedClassification,ZhaoKang;XiaoLu;JinfengYi;ZenglinXu,the27thInternationalJointConferenceonArtificialIntelligence(IJCAI-2018),July.2018,Stockholm,Sweden.(Acceptrate20.5%)(CCFA类)24:Self-weightedMulti-ViewClusteringwithSoftCappedNorm,ShudongHuang;ZhaoKang;ZenglinXu,Knowledge-BasedSystems,2018.(JCR二区)23:IntegrateandConquer:Double-SidedTwo-DimensionalK-MeansViaIntegratingofProjectionandManifoldConstruction,ChongPeng;ZhaoKang;ShutingCai;QiangCheng,ACMTransactionsonIntelligentSystemsandTechnology(ACMTIST),2018.(JCR二区)22:UnifiedSpectralClusteringwithOptimalGraph,ZhaoKang;ChongPeng;QiangCheng;ZenglinXu,TheThirty-SecondAAAIConferenceonArtificialIntelligence,NewOrleans,Lousiana,Feb.2018.(Acceptrate24.5%)(CCFA类)21:Kernel-drivenSimilarityLearning,ZhaoKang;ChongPeng;QiangCheng,Neurocomputing,Elsevier,2017.(JCR二区)20:ExploitingNonlinearRelationshipsforTop-NRecommenderSystems,ZhaoKang;ChongPeng;MingYang,QiangCheng,The8thIEEEInternationalConferenceonBigKnowledge,Hefei,China,August.2017.19:Onidentifiabilityof3-tensorsofmultilinearrank(1,Lr,Lr),MingYang,DunRenChe,WenLiu,ZhaoKang,ChongPeng,MingqingXiao,QiangCheng,BigDataandInformationAnalytics(BDIA),AmericanInstituteofMathematicalSciences,Vol.1,no.4,October2016.18:ImageProjectionRidgeRegressionforSubspaceClustering,ChongPeng;ZhaoKang;FeiXu;YongyongChen;QiangCheng,IEEESignalProcessingLetters(IEEESPL),2017.17:SubspaceClusteringviaVarianceRegularizedRidgeRegression,ChongPeng;ZhaoKang;QiangCheng,TheThirtiethIEEE/CVFConferenceonComputerVisionandPatternRecognition(CVPR2017),Honolulu,Hawaii,July,2017.(Acceptrate29%)(CCFA类)16:IntegratingFeatureandGraphLearningwithLow-RankRepresentation,ChongPeng;ZhaoKang;QiangCheng,Neurocomputing,2017.(JCR二区)15:ClusteringwithAdaptiveManifoldStructureLearning,ZhaoKang;ChongPeng;QiangCheng,The33rdIEEEInternationalConferenceonDataEngineering(ICDE2017),SanDiego,USA,April.2017.(Acceptrate28.9%)(CCFA类)14:TwinLearningforSimilarityandClustering:AUnifiedKernelApproach,ZhaoKang;ChongPeng;QiangCheng,TheThirty-FirstAAAIConferenceonArtificialIntelligence(AAAI-17),SanFrancisco,CaliforniaUSA,Feb.2017.(Acceptrate24.6%)(CCFA类)13:RobustGraphRegularizedNonnegativeMatrixFactorizationforClustering,ChongPeng;ZhaoKang;YunhongHu;QiangCheng,ACMTransactionsonKnowledgeDiscoveryfromData(ACMTKDD),Volume11Issue3,ArticleNo.33,March2017.(CCFB类)12:AFastFactorization-basedApproachtoRobustPrincipalComponentAnalysis,ChongPeng;ZhaoKang;QiangCheng,TheIEEEInternationalConferenceonDataMiningseries(ICDM2016),Barcelona,Spain,Dec.2016.(Acceptrate19.6%)(CCFB类)11:NonnegativeMatrixFactorizationwithIntegratedGraphandFeatureLearning,ChongPeng;ZhaoKang;YunhongHu;QiangCheng,ACMTransactionsonIntelligentSystemsandTechnology(ACMTIST),Vol.8,No.3,Article42,February2017.(JCR二区)10:Top-NRecommendationonGraphs,ZhaoKang;ChongPeng;MingYang,QiangCheng,The25thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2016),Indianapolis,UnitedStates,Oct.2016.(Acceptrate23.2%)(CCFB类)9:RAP:ScalableRPCAforLow-rankMatrixRecovery,ChongPeng;ZhaoKang;MingYang,QiangCheng,The25thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2016),Indianapolis,UnitedStates,Oct.2016.(Acceptrate23.2%)(CCFB类)8:FeatureSelectionEmbeddedSubspaceClustering,ChongPeng;ZhaoKang;MingYang,QiangCheng,IEEESignalProcessingLetters(IEEESPL)23(7),1018-1022,2016.7:Top-Nrecommendationwithnovelrankapproximation,ZhaoKangandQiangCheng,2016SIAMInt.Conf.onDataMining(SDM2016),Miami,FL,May.2016.(Acceptrate26%)(CCFB类)6:Top-NRecommenderSystemviaMatrixCompletion,ZhaoKang,ChongPeng,andQiangCheng,TheThirtiethAAAIConferenceonArtificialIntelligence(AAAI-16),Phoenix,Arizona,USA,Feb.2016.(Acceptrate26%)(CCFA类)5:RobustPCAViaNonconvexRankApproximation,ZhaoKang,ChongPeng,andQiangCheng,TheIEEEInternationalConferenceonDataMiningseries(ICDM2015),Atlantic,NJ,USA,Nov.2015.(Acceptrate68/807&＃61;8.4%)(CCFB类)4:RobustSubspaceClusteringviaTighterRankApproximation,ZhaoKang,ChongPeng,andQiangCheng,The24thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2015),Melbourne,Australia,Oct.2015.(Acceptrate17.98%)(CCFB类)3:Subspaceclusteringusinglog-determinantrankapproximation,ChongPeng,ZhaoKang,HuiqingLi,QiangCheng,The21stACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining(KDD2015),Sydney,Australia,Aug.2015.(Acceptrate19.4%)(CCFA类)2:RobustSubspaceClusteringviaSmoothedRankApproximation,ZhaoKang,ChongPeng,andQiangCheng,IEEESignalProcessingLetters(IEEESPL)22(11),2088-2092.1:LogDetRankMinimizationwithApplicationtoSubspaceClustering,ZhaoKang,ChongPeng,JieChengandQiangCheng,ComputationalIntelligenceandNeuroscience,Volume2015(2015).

近期论文

36&＃xff1a;MultiplePartitionsAlignedClustering,ZhaoKang,ZipengGuo,ShudongHuang,SiyingWang,WenyuChen,YuanzhangSu,ZenglinXu,The28thInternationalJointConferenceonArtificialIntelligence(IJCAI-19),Aug.2019,Macao,China.(Acceptrate17.9%)(CCFA类)(ZipengGuo为本科生)35:ClusteringwithSimilarityPreserving,ZhaoKang,HonghuiXu,BoyuWang,HongyuanZhu,ZenglinXu,Neurocomputing,2019.(JCR二区)(HonghuiXu为本科生)34:RES-PCA:AScalableApproachtoRecoveringLow-rankMatrices,CPeng,CChen,ZKang,JLi,QCheng,IEEEConferenceonComputerVisionandPatternRecognition(CVPR&＃39;2019).(Acceptrate25.2%)(CCFA类)33:Locality-constrainedgrouplassocodingformicrovesselimageclassification,JChen,SZhou,ZKang,QWen,PatternRecognitionLetters,2019.32:SimilarityLearningviaKernelPreservingEmbedding,ZhaoKang;YiweiLu;YuanzhangSu;ChangshengLi;ZenglinXu,TheThirty-ThirdAAAIConferenceonArtificialIntelligence(AAAI-19),Honolulu,Hawaii,Jan.2019.(Acceptrate16.2%)(CCFA类)(YiweiLu为本科生)31:RobustGraphLearningfromNoisyData,ZhaoKang,HaiqiPan,StevenC.H.Hoi,ZenglinXu,IEEETransactionsonCybernetics,2019.(JCR一区&＃xff0c;影响因子8.8)(HaiqiPan为本科生)30:TwoBirdswithOneStone:TransformingandGeneratingFacialImageswithIterativeGAN,DanMa,BinLiu,ZhaoKang,JiayuZhou&＃xff0c;JiankeZhu,ZenglinXu,Neurocomputing,2018.(JCR二区)29:Auto-weightedMulti-viewClusteringviaKernelizedGraphLearning,ShudongHuang,ZhaoKang,IvorW.Tsang,ZenglinXu,PatternRecognition,Volume88,April2019,Pages174-184.(JCR二区)28:Low-rankKernelLearningforGraph-basedClustering,ZhaoKang,LiangjianWen,WenyuChen,ZenglinXu,Knowledge-BasedSystems,Volume163,1January2019,Pages510-517.(JCR二区)27:RobustGraphLearningforSemi-SupervisedClassification,HaiqiPan,ZhaoKang,InternationalConferenceonIntelligentHuman-MachineSystemsandCybernetics(IHMSC2018),Hangzhou,China.(HaiqiPan为本科生)26:Low-rankKernelLearningforGraph-basedClustering,ZhaoKang,LiangjianWen,WenyuChen,ZenglinXu,Knowledge-BasedSystems,2018.(JCR二区)25:MultipleKernelLearningforGraph-basedClusteringandSemi-supervisedClassification,ZhaoKang;XiaoLu;JinfengYi;ZenglinXu,the27thInternationalJointConferenceonArtificialIntelligence(IJCAI-2018),July.2018,Stockholm,Sweden.(Acceptrate20.5%)(CCFA类)24:Self-weightedMulti-ViewClusteringwithSoftCappedNorm,ShudongHuang;ZhaoKang;ZenglinXu,Knowledge-BasedSystems,2018.(JCR二区)23:IntegrateandConquer:Double-SidedTwo-DimensionalK-MeansViaIntegratingofProjectionandManifoldConstruction,ChongPeng;ZhaoKang;ShutingCai;QiangCheng,ACMTransactionsonIntelligentSystemsandTechnology(ACMTIST),2018.(JCR二区)22:UnifiedSpectralClusteringwithOptimalGraph,ZhaoKang;ChongPeng;QiangCheng;ZenglinXu,TheThirty-SecondAAAIConferenceonArtificialIntelligence,NewOrleans,Lousiana,Feb.2018.(Acceptrate24.5%)(CCFA类)21:Kernel-drivenSimilarityLearning,ZhaoKang;ChongPeng;QiangCheng,Neurocomputing,Elsevier,2017.(JCR二区)20:ExploitingNonlinearRelationshipsforTop-NRecommenderSystems,ZhaoKang;ChongPeng;MingYang,QiangCheng,The8thIEEEInternationalConferenceonBigKnowledge,Hefei,China,August.2017.19:Onidentifiabilityof3-tensorsofmultilinearrank(1,Lr,Lr),MingYang,DunRenChe,WenLiu,ZhaoKang,ChongPeng,MingqingXiao,QiangCheng,BigDataandInformationAnalytics(BDIA),AmericanInstituteofMathematicalSciences,Vol.1,no.4,October2016.18:ImageProjectionRidgeRegressionforSubspaceClustering,ChongPeng;ZhaoKang;FeiXu;YongyongChen;QiangCheng,IEEESignalProcessingLetters(IEEESPL),2017.17:SubspaceClusteringviaVarianceRegularizedRidgeRegression,ChongPeng;ZhaoKang;QiangCheng,TheThirtiethIEEE/CVFConferenceonComputerVisionandPatternRecognition(CVPR2017),Honolulu,Hawaii,July,2017.(Acceptrate29%)(CCFA类)16:IntegratingFeatureandGraphLearningwithLow-RankRepresentation,ChongPeng;ZhaoKang;QiangCheng,Neurocomputing,2017.(JCR二区)15:ClusteringwithAdaptiveManifoldStructureLearning,ZhaoKang;ChongPeng;QiangCheng,The33rdIEEEInternationalConferenceonDataEngineering(ICDE2017),SanDiego,USA,April.2017.(Acceptrate28.9%)(CCFA类)14:TwinLearningforSimilarityandClustering:AUnifiedKernelApproach,ZhaoKang;ChongPeng;QiangCheng,TheThirty-FirstAAAIConferenceonArtificialIntelligence(AAAI-17),SanFrancisco,CaliforniaUSA,Feb.2017.(Acceptrate24.6%)(CCFA类)13:RobustGraphRegularizedNonnegativeMatrixFactorizationforClustering,ChongPeng;ZhaoKang;YunhongHu;QiangCheng,ACMTransactionsonKnowledgeDiscoveryfromData(ACMTKDD),Volume11Issue3,ArticleNo.33,March2017.(CCFB类)12:AFastFactorization-basedApproachtoRobustPrincipalComponentAnalysis,ChongPeng;ZhaoKang;QiangCheng,TheIEEEInternationalConferenceonDataMiningseries(ICDM2016),Barcelona,Spain,Dec.2016.(Acceptrate19.6%)(CCFB类)11:NonnegativeMatrixFactorizationwithIntegratedGraphandFeatureLearning,ChongPeng;ZhaoKang;YunhongHu;QiangCheng,ACMTransactionsonIntelligentSystemsandTechnology(ACMTIST),Vol.8,No.3,Article42,February2017.(JCR二区)10:Top-NRecommendationonGraphs,ZhaoKang;ChongPeng;MingYang,QiangCheng,The25thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2016),Indianapolis,UnitedStates,Oct.2016.(Acceptrate23.2%)(CCFB类)9:RAP:ScalableRPCAforLow-rankMatrixRecovery,ChongPeng;ZhaoKang;MingYang,QiangCheng,The25thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2016),Indianapolis,UnitedStates,Oct.2016.(Acceptrate23.2%)(CCFB类)8:FeatureSelectionEmbeddedSubspaceClustering,ChongPeng;ZhaoKang;MingYang,QiangCheng,IEEESignalProcessingLetters(IEEESPL)23(7),1018-1022,2016.7:Top-Nrecommendationwithnovelrankapproximation,ZhaoKangandQiangCheng,2016SIAMInt.Conf.onDataMining(SDM2016),Miami,FL,May.2016.(Acceptrate26%)(CCFB类)6:Top-NRecommenderSystemviaMatrixCompletion,ZhaoKang,ChongPeng,andQiangCheng,TheThirtiethAAAIConferenceonArtificialIntelligence(AAAI-16),Phoenix,Arizona,USA,Feb.2016.(Acceptrate26%)(CCFA类)5:RobustPCAViaNonconvexRankApproximation,ZhaoKang,ChongPeng,andQiangCheng,TheIEEEInternationalConferenceonDataMiningseries(ICDM2015),Atlantic,NJ,USA,Nov.2015.(Acceptrate68/807&＃61;8.4%)(CCFB类)4:RobustSubspaceClusteringviaTighterRankApproximation,ZhaoKang,ChongPeng,andQiangCheng,The24thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2015),Melbourne,Australia,Oct.2015.(Acceptrate17.98%)(CCFB类)3:Subspaceclusteringusinglog-determinantrankapproximation,ChongPeng,ZhaoKang,HuiqingLi,QiangCheng,The21stACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining(KDD2015),Sydney,Australia,Aug.2015.(Acceptrate19.4%)(CCFA类)2:RobustSubspaceClusteringviaSmoothedRankApproximation,ZhaoKang,ChongPeng,andQiangCheng,IEEESignalProcessingLetters(IEEESPL)22(11),2088-2092.1:LogDetRankMinimizationwithApplicationtoSubspaceClustering,ZhaoKang,ChongPeng,JieChengandQiangCheng,ComputationalIntelligenceandNeuroscience,Volume2015(2015).