个人简历

彭冲，2012年获青岛大学统计学学士学位，2017年获南伊利诺伊大学计算机科学博士学位，2018年加入青岛大学计算机科学技术学院。现为青岛大学计算机科学技术学院助理教授，硕士生导师，入选青岛大学青年卓越人才。在这些领域的国际顶级会议和学术期刊，包括KDD，CVPR，AAAI，ICDE，ICDM，CIKM，ACMTIST，TKDD，IEEETGRS等发表学术论文30余篇。目前主持国家自然科学基金（青年）和山东省自然科学基金（青年）各一项。担任IEEETrans.Cybernetics,KnowledgeandInformationScience,InformationSciences,IEEEAccess,Neurocomputing等国际期刊审稿人。
联系方式：pchong1991@163.com
个人学术主页：http://www.escience.cn/people/cpeng/index.html
项目：
1.面向大规模二维数据的岭回归子空间聚类算法的研究，国家自然科学基金青年项目，项目编号61806106，2019.01-2021.12主持
2.面向二维数据聚类的二维非负矩阵分解算法研究，山东省自然科学基金青年项目，项目编号ZR2019QF009，2019.07-2022.06主持

近期论文

部分论文：
1.RES-PCA:AScalableApproachtoRecoveringLow-RankMatrices,ChongPeng,ZhaoKang,ChenglizhaoChen,JianboLi,QiangCheng.ProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognition(CVPR-2019):2019.06
2.Structure-awareAdaptiveDiffusionforVideoSaliencyDetection,ChenglizhaoChen,GuotaoWang,ChongPeng*(通讯).IEEEAccess:2019
3.Integrateandconquer:Double-sidedtwo-dimensionalk-meansviaintegratingofprojectionandmanifoldconstruction,ChongPeng,ZhaoKang,ShutingCai,andQiangCheng.ACMTransactionsonIntelligentSystemsandTechnology(TIST):2018,9(5),57
4.Imagedenoisingviaimproveddictionarylearningwithglobalstructureandlocalsimilaritypreservations,ShutingCai,ZhaoKang,MingYang,XiaomingXiong,ChongPeng*(通讯),andMingqingXiao.Symmetry:2018,10(5),167
5.Unifiedspectralclusteringwithoptimalgraph,ZhaoKang,ChongPeng,QiangCheng,andZenglinXu.Thirty-SecondAAAIConferenceonArtificialIntelligence:2018
6.ClusteringwithAdaptiveManifoldStructureLearning,ZhaoKang,ChongPeng,andQiangCheng.IEEEInternationalConferenceonDataEngineering(ICDE):2017
7.ExploitingNonlinearRelationshipsforTop-NRecommenderSystems,ZhaoKang,ChongPeng,MingYang,andQiangCheng.The8thIEEEInternationalConferenceonBigKnowledge:2017
8.DenoisingofHyperspectralImageUsingLow-RankMatrixFactorization,FeiXu,YongyongChen,ChongPeng,YongliWang,XuefengLiuandGuopingHe.IEEEGeoscience&RemoteSensingLetters:2017
9.DenoisingofHyperspectralImagesUsingNonconvexLowRankMatrixApproximation,YongyongChen,YanwenGuo,YongliWang,DongWang,ChongPeng,andGuopingHe.IEEETransactionsonGeoscience&RemoteSensing:2017
10.Asupervisedlearningmodelforhigh-dimensionalandlarge-scaledata,ChongPeng,JieCheng,andQiangCheng.ACMTransactionsonIntelligentSystemsandTechnology(TIST):2017,8(2),30
11.Imageprojectionridgeregressionforsubspaceclustering,ChongPeng,ZhaoKang,FeiXu,YongyongChen,andQiangCheng.IEEESignalProcessingLetters:2017,24(7),991--995
12.RAP:ScalableRPCAforLow-rankMatrixRecovery,ChongPeng,ZhaoKang,MingYang,andQiangCheng.The25thACMInt.Conf.onInformationandKnowledgeManagement(CIKM2016):2016
13.RobustSubspaceClusteringviaSmoothedRankApproximation,ZhaoKang,ChongPeng,andQiangCheng.IEEESignalProcessingLetters:2015,22(11),2088--2092
14.RobustPCAviaNonconvexRankApproximation,ZhaoKang,ChongPeng,andQiangCheng.IEEEInternationalConferenceonDataMining(ICDM):2015
15.Subspaceclusteringviavarianceregularizedridgeregression,ChongPeng,ZhaoKang,andQiangCheng.ProceedingsoftheIEEEConferenceonComputerVisionandPatternRecognition(CVPR-2017):2017,2931--2940
16.Robustgraphregularizednonnegativematrixfactorizationforclustering,ChongPeng,ZhaoKang,YunhongHu,JieCheng,andQiangCheng.ACMTransactionsonKnowledgeDiscoveryfromData(TKDD):2017,11(3),33
17.Nonnegativematrixfactorizationwithintegratedgraphandfeaturelearning,ChongPeng,ZhaoKang,YunhongHu,andQiangCheng.ACMTransactionsonIntelligentSystemsandTechnology(TIST):2017,8(3),42
18.Twinlearningforsimilarityandclustering:Aunifiedkernelapproach,ZhaoKang,ChongPeng,andQiangCheng.Thirty-FirstAAAIConferenceonArtificialIntelligence:2017
19.Integratingfeatureandgraphlearningwithlow-rankrepresentation,ChongPeng,ZhaoKang,andQiangCheng.Neurocomputing:2017,249,106--116
20.Kernel-drivensimilaritylearning,ZhaoKang,ChongPeng,andQiangCheng.Neurocomputing:2017,267,210--219
21.Afastfactorization-basedapproachtorobustPCA,ChongPeng,ZhaoKang,andQiangCheng.2016IEEE16thInternationalConferenceonDataMining(ICDM):2016,1137--1142
22.ONIDENTIFIABILITYOF3-TENSORSOFMULTILINEARRANK(1;Lr;Lr),MingYang,DunrenChe,WenLiu,ZhaoKang,ChongPeng,MingqingXiao,andQiangCheng.BigDataandInformationAnalytics:2016
23.Top-nrecommendationongraphs,ZhaoKang,ChongPeng,MingYang,andQiangCheng.The25thACMInternationalonConferenceonInformationandKnowledgeManagement(CCF-B):2016,2101--2106
24.Featureselectionembeddedsubspaceclustering,ChongPeng,ZhaoKang,MingYang,andQiangCheng.IEEESignalProcessingLetters:2016,23(7),1018--1022
25.Top-nrecommendersystemviamatrixcompletion,ZhaoKang,ChongPeng,andQiangCheng.ThirtiethAAAIConferenceonArtificialIntelligence(CCF-A):2016
26.Robustsubspaceclusteringviatighterrankapproximation,ZhaoKang,ChongPeng,andQiangCheng.Proceedingsofthe24thACMInternationalonConferenceonInformationandKnowledgeManagement:2015,393--401
27.Subspaceclusteringusinglog-determinantrankapproximation,ChongPeng,ZhaoKang,HuiqingLi,andQiangCheng.Proceedingsofthe21thACMSIGKDDinternationalconferenceonKnowledgeDiscoveryandDataMining:2015,925--934
28.Logdetrankminimizationwithapplicationtosubspaceclustering,ZhaoKang,ChongPeng,JieCheng,QiangCheng.Computationalintelligenceandneuroscience:2015,2015,68