李玉鑑 - 桂林电子科技大学

个人简介

MajorResearchInterest Deeplearning,artificialintelligence,patternrecognition,machinelearning, imageprocessing,naturallanguageprocessing,etc. EducationandExperience 2019-Now:Fullprofessor,SchoolofArtificialIntellignece,GuilinUniversityofElectronics,Guilin,Guangxi,China. 2001-2019:FullprofessorsinceDecember2007,associateprofessorbefore,CollegeofComputerScience,BeijingUniversityofTechnology,Beijing,China. 1999-2001:post-doctor,SchoolofInformationEngineering,BeijingUniversityofPostsand Telecommunications,Beijing,China. 1996-1999:Ph.D.,InstituteofSemiconductors,ChineseAcademyofSciences,Beijing,China. 1993-1996:researchassistant,DepartmentofNeurobiology,InstituteofBiophysics,ChineseAcademyofSciences,Beijing,China. 1990-1993:M.S.,InstituteofMathematics,ChineseAcademyofSciences,Beijing,China. 1986-1990:B.S.,DepartmentofMathematics,HuanzhongUniversityofScienceandTechnology,Wuhan,Hubei,China. Achievements TwobooksinChinese,“AnIntroductiontoDeepLearningwithAnalysisofCases”(2016),“DeepLearning:MasteringConvolutionNeuralNetworksfromBeginner”(2018).PulicationsintopjournalsincludingTPAMI,TNN,NN,PR,KBS,etc. ～90PublicationsinIEEETrans.onPatternAnalysisandMachineIntelligence,IEEETrans.onNeuralNetworks,PatternRecognition,IEEESignalProcessingLetters,NeuralNetworks,Knowledge-BasedSystems,AppliedSoftComputing,etc.

研究领域

Deeplearning,artificialintelligence,patternrecognition,machinelearning, imageprocessing,naturallanguageprocessing,etc.

近期论文

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[1]OuJun,YujianLi.Two-dimensionalPerceptrons.SoftComputing,2019,availableonline. [2]OuJun,YujianLi.Vector-kernelconvolutionalneuralnetworks.Neurocomputing,2019,330(2):253-258. [3]OuJun,YujianLi.Symmetricdecompositionofconvolutionkernels.IEICETRANSACTIONSonInformationandSystems,2019,102(1):219-222. [4]OuJun,YujianLi,ChengkaiShen.UnlabeledPCA-shufflinginitializationforconvolutionalneuralnetworks.AppliedIntelligence,2018,48(12):4565-4576. [5]李玉鑑，张婷，单传辉，刘兆英等著.深度学习：卷积神经网络从入门到精通.机械工业出版社,2018. [6]YujianLi,YahongZhang,TingZhang,PiusKwaoGadesayandZhaoyingLiu.FeatureClusteringDimensionalityReductionbasedonAffinityPropagation.IntelligentDataAnalysis,2018,22:309-323. [7]YujianLi,YahongZhang.Detectingmanifolddependencesofmultivariatedatawithtotalcorrelation.IntelligentDataAnalysis,2018,22:467-489. [8]QiangkuiLeng,YunpingQin,YujianLi.Amulti-classlearningmethodformulticonlitronusinghybridbinarytreearchitecture.AppliedSoftComputing,2018,64:497-507. [9]ZhaoyingLiu,XiangzhiBai,ChangmingSun,FugenZhouandYujianLi.Multi-modalshiptargetimagesmoothingbasedonadaptivemeanshift.IEEEAccess,2018,6:12573-12586. [10]YujianLi,TingZhang.DeepNeuralMappingSupportVectorMachines.NeuralNetworks(NN),2017,93:185-194. [11]YujianLi,QiangkuiLeng,YaozongFu.Crosskerneldistanceminimizationfordesigningsupportvectormachines.InternationalJournalofMachineLearningandCybernetics,2017,8(5):1585-1593. [12]YafeiJian,YunTian,YujianLi,PengbinFu.ExponentialDiscriminativeLocalityAlignmentforHyperspectralImageClassification.IEEEGeoscienceandRemoteSensingLetters,2017,14(1):33-37. [13]李玉鑑,张婷.深度学习导论及案例分析.机械工业出版社,2016. [14]张婷,李玉鑑,胡海鹤,张亚红.基于跨连卷积神经网络的性别分类模型.自动化学报,2016,42(2):858-865. [15]李玉鑑,张亚红.三元变量间一维流形依赖关系的检测.电子学报,2016,44(3):639-645. [16]ZhaoyingLiu,XiangzhiBai,ChangmingSun,FugenZhou,YujianLi.Infraredshiptargetsegmentationthroughintegrationofmultiplefeaturemaps.ImageandVisionComputing,2016,48-49:14-25. [17]YujianLi,ShaofengZeng,YongYang.ImageMatchingwithMulti-orderFeatures.IEEESignalProcessingLetters,2015,22(12):2214-2218. [18]YujianLi,QiangkuiLeng.AlternatingMulticonlitron:ANovelFrameworkforPiecewiseLinearClassification.PatternRecognition,2015,48:968-975. [19]YafeiJia,YujianLi,PengbinFu,YunTian.NearestFeatureLineandPointEmbeddingforHyperspectralImageClassification.IEEEGeoscienceandRemoteSensingLetters,2015,12(3):651-655. [20]张亚红、李玉鑑、张婷.检测多元相关关系的最大信息熵方法.电子与信息学报,2015,37(1):123-129. [21]YujianLi,HoujunLi,ZhiCai.FastorthogonalHaartransformpatternmatchingviaimagesquaresum.IEEETransactionsonPatternAnalysisandMachineIntelligence(TPAMI),2014,36(9):1748-1760. [22]YujianLi,QiangkuiLeng,YaozongFu,HoujunLi.Growingconstructionofconlitronandmulticonlitron.Knowledge-basedSystems,2014,65:12-20. [23]冷强奎,李玉鑑.组合凸线性感知器的极大切割构造方法.自动化学报,2014,40(4):721-730. [24]YujianLi,HoujunLi,ZhiCai.Humaneyebrowrecognitioninthematching-recognizingframework.ComputerVisionandImageUnderstanding,2013,117:170-181. [25]YujianLi,DongxiaMeng,ZhimingGui.Randomoptimizedgeometricensembles.Neurocomputing,2012,94:159-163. [26]YujianLi,BoLiu,XinwuYang,YaozongFu,HoujunLi.Multiconlitron:AGeneralPiecewiseLinearClassifier.IEEETransactionsonNeuralNetworks(TNN),2011,22(2):276-289. [27]张晨光,李玉鑑.哈希图半监督学习方法及其在图像分割中的应用.自动化学报,2010,36(11):1529-1533. [28]YujianLi,BoLiu.ANormalizedLevenshteinDistanceMetric.IEEETransactionsonPatternAnalysisandMachineIntelligence(TPAMI),2007,29(6):1091-1095. [29]YujianLi.AClusteringAlgorithmBasedonMaximaltheta-distantSubtrees.PatternRecognition,2007,40(5):1425-1431. [30]YujianLi.HiddenMarkovModelswithStatesDependingonObservations.PatternRecognitionLetters,2005,26(7):977-984.