个人简历
个人背景学习经历：1991.09-1995.07学士四川师范大学基础数学1995.09-1998.07硕士电子科技大学应用数学2008.09-2012.07博士香港中文大学计算数学工作经历：1998.07-1999.07助理工程师中电第29研究所2002.07-2005.07讲师电子科技大学2005.07-2009.07副教授电子科技大学2009.07-至今教授电子科技大学个人简介叶茂，男，博士，1973年9月出生。2008年破格提升为博士生指导教师，2009年破格晋升为正教授，中国工程物理研究院客座教授，电子科技大学机器人中心副主任。计算机学会计算机视觉专委会,多媒体计算专委会委员。2002年从香港中文大学获得计算数学哲学博士学位并加入电子科技大学至今。曾于2005-2006年,2010年分别在昆士兰大学和宾夕法利亚大学做访问学者。入选2006年教育部新世纪优秀人才支持计划,第九届四川省学术与技术带头人后备人选，四川省杰出青年学科带头人支持计划。目前主要研究领域为机器学习与计算机视觉，已发表论文70余篇，其中国际一流SCI期刊论文50余篇，论文被引用700+次。主持或者作为骨干成员参加如973、国家自然科学基金、四川省科技厅等各个国家、省部级课题。并主持开发多个取得良好经济效益的工业产品项目；已授权发明专利8项；担任多个国际学术会议程序委员会成员和分会场主席，如国际神经网络研讨会（ISNN），通讯，电路与系统国际会议，高级数据挖掘与应用国际会议（ADMA）等。担任中科院工程技术领域2区期刊EngineeringApplicationsofArtificialIntelligence编委,多个国际一流期刊审稿人如IEEETrans.NNLS,IEEETrans.Cybernetics,IEEETrans.SignalProcesssing,IEEESignalProcessingLetters等。荣获2012年华为-电子科技大学优秀合作团队.研究项目[1]基于特征学习的领域自适应目标检测方法研究项目2014.01-2017.12国家级国家级自然科学基金;[2]盲信号分离若干基本问题的研究2008.01-2010.12国家级国家级自然科学基金;[3]盲信号分离研究2007.01-2009.12省部级教育部新世纪优秀人才支持计划[4]基于视觉异常行为监控若干关键问题研究2009.5-2011.12省部级四川省青年基金[5]社会服务机器人行为感知与控制神经计算方法研究2016.1-2018.12省部级四川省科技厅[6]数字免疫网络研究2006.1-2007.12省部级四川省科技厅研究项目[1]基于特征学习的领域自适应目标检测方法研究项目2014.01-2017.12国家级国家级自然科学基金;[2]盲信号分离若干基本问题的研究2008.01-2010.12国家级国家级自然科学基金;[3]盲信号分离研究2007.01-2009.12省部级教育部新世纪优秀人才支持计划[4]基于视觉异常行为监控若干关键问题研究2009.5-2011.12省部级四川省青年基金[5]社会服务机器人行为感知与控制神经计算方法研究2016.1-2018.12省部级四川省科技厅[6]数字免疫网络研究2006.1-2007.12省部级四川省科技厅研究项目[1]基于特征学习的领域自适应目标检测方法研究项目2014.01-2017.12国家级国家级自然科学基金;[2]盲信号分离若干基本问题的研究2008.01-2010.12国家级国家级自然科学基金;[3]盲信号分离研究2007.01-2009.12省部级教育部新世纪优秀人才支持计划[4]基于视觉异常行为监控若干关键问题研究2009.5-2011.12省部级四川省青年基金[5]社会服务机器人行为感知与控制神经计算方法研究2016.1-2018.12省部级四川省科技厅[6]数字免疫网络研究2006.1-2007.12省部级四川省科技厅教学工作本科生课程：[1]2013-2014,秋季,数据库系统原理[2]2014-2016,秋季,学术规范与论文写作
研究领域
科研方向机器学习与计算机视觉
近期论文
JournalofElectronicImaging,JournalofElectronicImaging25(3),033006,2016[3]ChenxueYang,MaoYe*,SongTang,ZijianLiu,TaoXiang,Semi-supervisedlow-rankrepresentationforimageclassification,Signal,ImageandVideoProcessing,2016Accept[4]ChenfeiXu,QiheLiu,MaoYe*,Ageinvariantfacerecognitionandretrievalbycoupledauto-encoder,Neuocomputing,2016accept[5]LishenPei,MaoYe*,XuezhuanZhao,YuminDouandJiaoBao,Actionrecognitionbylearningtemporalslownessinvariantfeatures,TheVisualComputer,32:1395–1404,2016[6]YuminDou,PeiXu,MaoYe*,XueLi,LishenPei,XudongLi,Real-timeMulti-classObjectDetectionUsingTwoDimensionalIndex,JournalofReal-TimeImageProcessing,2015Accept[7]XiangTao,TaoLi,MaoYe*,andXudongLi，Discriminativeboostedforestwithconvolutionalneuralnetwork-basedpatchdescriptorforobjectdetection,J.Electron.Imaging25(1),013002(2016).[8]TaoXiang,TaoLi,MaoYe*andZijianLiu,RandomForestwithAdaptiveLocalTemplateforPedestrianDetection,MathematicalProblemsinEngineering,767423,2015[9]MinFu,PeiXu,XudongLi,QiheLiu,MaoYe*,CeZhu,FastCrowdDensityEstimationwithConvolutionalNeuralNetworks,EngineeringApplicationsofArtificialIntelligence,Volume43,August2015,Pages81–88,2015[10]LishenPei,MaoYe*,PeiXu,TaoLi,FastMulti-ClassActionRecognitionbyQueryingInvertedIndexTables,MultimediaToolsandApplications,Volume74,Issue23(2015),Page10801-10822[11]XudongLi,MaoYe*,MinFu,PeiXuandTaoLi,DomainAdaptionofVehicleDetectorBasedonConvolutionalNeuralNetworks,InternationalJournalofControl,AutomationandSystems,Volume13,Number4,August2015[12]RenjieHuang,MaoYe*,PeiXu,TaoLi,YuminDou,LearningtoPoolHigh-levelFeaturesforFaceRepresentation,TheVisualComputer,Vol31,No12,Page1683-1695,2015[13]PeiXu,MaoYe*,etc,DynamicBackgroundLearningthroughDeepAuto-encoderNetworks,ACMMM2014[14]PeiXu,MaoYe*,etc,Motiondetectionviaacoupleofautoencodernetworks.ICME2014[15]RenjieHuang,TaoLi,MaoYe*andPeiXu,UnconstrainedFaceVerificationbyOptimallyOrganizingMultipleClassifiers,InternationalJournalofControl,AutomationandSystems,IJCASVol12,No4,August2014[16]LishenPei,MaoYe*,XuezhuanZhao,TaoXiangandTaoLi,LearningSpatio-TemporalFeaturesforActionRecognitionfromtheSideoftheVideo,Signal,ImageandVideoProcessing,10(1),199-206,2014[17]ChenxueYang,TaoLi,MaoYe*,ZijianLiuandBaoJiao,AConstrainedAlgorithmbasedNMF_\\alphaforImageRepresentation,DiscreteDynamicsinNatureandSociety,Volume2014,ArticleID179129,2014[18]ChenxueYang,MaoYe*,XudongLi,ZijianLiu,TaoLi,RobustLowRankImageRepresentationsbyDeepMatrixDecompositions,ElectronicsLetters,50(24):1843-1845,2014[19]LishenPei,MaoYe*,PeiXu,XuezhuanZhao,GuanjunGe,OneExampleBasedActionDetectionInHoughSpace.MultimediaToolsandApplications,72(2):1751-1772(2014)[20]TaoLi,MaoYe*andJianDing,DiscriminativeHoughcontextmodelforobjectdetection,TheVisualComputer.Vol30,Issue1(2014),Page59-69[21]ChenxueYang,MaoYeandZijianLiu,Animpulsiveperiodicsingle-speciesLogisticsystemwithdiffusion,JournalofAppliedMathematics.Vol.2013,101238,2013[22]PeiXu,MaoYe*,XueLi,LishenPeiandPengweiJiao,ObjectDetectionUsingVotingSpacesTrainedbyFewSamples,OpticalEngineering,52(9),093105(September16,2013)[23]LishenPei,MaoYe*,PeiXu,XuezhuanZhao,TaoLi,Multi-ClassActionRecognitionbasedonInvertedIndexofActionStates.ICIP2013.[24]HaiyangWang,MaoYe*andShangmingYang,ShadowCompensationandIlluminationNormalizationofFaceImage,MachineVisionandApplications,Volume24,Issue6(2013),Page1121-1131[25]TaoLi,MaoYe*,FengPang,HaiyangWangandJianDing,AnEfficientFireDetectionMethodBasedonOrientationFeature.InternationalJournalofControl,Automation,andSystems,vol.11,no.5,pp.1038-1045,2013[26]SonganMao,MaoYe*,XueLi,FengPang,JingleiZhou,RapidVehicleLogoRegionDetectionBasedonInformationTheory,ComputersandElectronicEngineering，Vol,Issue3,April2013,Pages863–872[27]JingleiZhou,MaoYe*,etc，Clothing-to-WordsMappingUsingWordSeparationMethod,ComputersandElectronicEngineering，Vol39,No2,Feb2013,pp:361–372[28]JianbinGao,JianpingLi,QiXia,andMaoYe*,ImprovedSOFIAlgorithmforBlindExtractionofSmoothSignals,COMPEL,Vol32,No2,597–605,2013[29]JingleiZhou,MaoYe*,etc,RapidandRobustTrafficAccidentDetectionBasedonOrientationMap,OpticalEngineering,Vol.51,No.11,pp.117201,2012[30]BoWang,MaoYe*,XueLi,FengjuanZhao,JianDing,AbnormalCrowdBehaviorDetectionusingHighFrequencyandSpatioTemporalFeatures,MachineVisionandApplications.Vol9,No5,905-912,2012[31]RenDongxiao，YeMao*，ExtractingPost-NonlinearSignalwithSpecificKurtosisRange，AppliedMathematicsandComputation，Vol.218,No9,5726–5738,2012[32]BoWang,MaoYe*,XueLiandFengjuanZhao,AbnormalCrowdBehaviorDetectionusingSize-AdaptedSpatio-TemporalFeatures.InternationalJournalofControl,Automation,andSystems,9(5):905-912,2011[33]LiqiangWang*,MaoYe*,JianDing,YuanxiangZhu,HybridFireDetectionUsingHiddenMarkovModelandLuminanceMap,ComputersandElectronicEngineering.Vol.37，No6，905-915.2011[34]RenDongxiao*,YeMao*，ExtractingPost-NonlinearSignalwithreference,ComputersandElectronicEngineering.Vol37，No6，1171-1181，2011[35]JianbinGao,MaoYe*，etc，AGloballyConvergentMCAAlgorithmbyGeneralizedEigen-Decomposition，InternationalJournalofComputationalIntelligenceSystems(IJCIS),Vol.4,No5,991-1001，2011[36]MaoYe*,XueLi,MariaE.Orlowska,ProjectedOutlierDetectioninHighDimensionalDataSetwithMixedAttributes,ExpertsystemwithApplications.36,pp.7104-7113.2009[37]GaoZengan*,MaoYe*,AframeworkforDataMining-BasedAnti-MoneyLaunderingResearch,JournalofMoneyLaunderingControl,Vol.10,No.2,2007.[38]MaoYe*,XueLi,AnEfficientMeasureofSignalTemporalPredictabilityforBlindSignalSeparation,NeuralProcessingLetters.Vol.26,No.1,pp.57-68.2007[39]MaoYe*,Xu-QianFan,XueLi,Aclassofself-stabilizingMCALearningAlgorithms,IEEETrans.NeuralNetworks,Vol17.No.6,，pp.1634-1638.2006[40]MaoYe*,Globalconvergenceanalysisofa‘Non-negativeICA’algorithm,IEEETrans.NeuralNetworks.Vol.17,No.1,pp.523-526.JANUARY.2006[41]MaoYe*,Globalconvergenceanalysisofaself-stabilizedMCAlearningalgorithm,Neurocomputing.Vol.67Cpp321-327.2005[42]MaoYe*,ZhangYi,CompleteConvergenceofCompetitiveNeuralNetworkswithDifferentTimeScales,Neuralprocessingletters.Vol.21,No.1,pp.53-60.2005[43]MaoYe*,ZhangYi,JianchenLv,AgloballyconvergentPCAlearningalgorithm,NeuralComputingandApplications.Vol.14,No.1,pp.18-24.2005[44]MaoYe*,Existenceandasymptoticstabilityofrelaxationdiscreteshockprofiles,MathematicsofComputation,Vol.73,pp.1261-1296.2004[45]MaoYe*,Numericalboundarylayersofconservationlawswithrelaxationextension,AppliedNumericalMathematics,Vol.51(2-3),pp.385-405.2004计算机学会计算机视觉专委会,多媒体计算专委会委员。中科院专业领域2区期刊EngineeringApplicationsofArtificialIntelligence编委(AE)
