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个人简介 分别于2003年、2006年和2008年获西安电子科技大学电子工程专业学士学位、信号与信息处理专业硕士学位和博士学位。 2010年获得全国百篇优秀博士学位论文提名奖。 2008年11月至2012年12月在美国杜克大学电子计算机工程系担任postdocresearchfellow,researchscientist以及seniorresearchscientist。 2013年引进西电任教。 2014年入选中组部高层次人才引进计划。 本科生、研究生、博士后招生要求 1、每年将招收2名博士,欢迎highlymotivated的学生报考。对于研究生推免生,优先考虑有硕博连读志向的申请者。 2、踏实、认真、严谨,对工作与学习有较强的积极主动性; 3、在编程、数学、信号处理、光学成像系统等任一方面有较深的功底和较浓的兴趣; 4、本科生需要在“学有余力”的情况下,对科研有兴趣,并希望继续深造; 5、博士后需要在机器学习、信号处理等领域的权威期刊和会议发表过相关文章。 具有较强编程经验的考研学生将被优先考虑,欢迎报考本组研究生。 新闻动态 恭喜陈文超和本科实习生刘毅成的工作被CCFA类会议IJCAI2020录用!恭喜田隆和彭杨的文章被遥感会议IGARSS2020录用并且入选oralpresentation! 恭喜张昊和田隆的文章,VariationalHetero-EncoderRandomizedGANsforJointImage-TextModeling,被深度学习顶级会议ICLR录用。 12月18日-12月20日,参加MIIS2019并做DeepProbabilisticModelandItsApplications的报告,介绍我们近几年在概率深度网络方面的工作。 从7月1日起,担任IEEETransactionsonSignalProcessing的AssociateEditor。 恭喜王超杰和肖肃诚的文章,ConvolutionalPoissonGammaBeliefNetwork,被机器学习顶级会议ICML2019录用,可处理带有order的one-hot数据的probabilisticconvolutionalneuralnetwork,不需要进行wordembedding预处理,end-to-end的概率生成模型。Code已经release! 恭喜徐彬、王正珏和杜川的文章分别被SignalProcessing录用! WHAI:WeibullHybridAutoencodingInferenceforDeepTopicModeling,(ICLR2018)的code已经release! 恭喜郭丹丹和张昊的文章,DeepPoissonGammaDynamicSystems,被机器学习顶级会议NIPS2018录用。 恭喜张昊的文章,DeepMax-MarginDiscriminantProjection,被IEEETransactionsonCybernetics录用。 恭喜张昊和郭丹丹的文章,WHAI:WeibullHybridAutoencodingInferenceforDeepTopicModeling,被深度学习顶级会议InternationalConferenceonLearningRepresentations(ICLR2018)录用。该工作向构建实用的深度概率生成模型又迈出了重要一步,兼具着传统深度网络的学习高效性与概率模型的可解释性和不确定性,可处理所有非负数据问题,尤其是topicmodeling。有兴趣可以关注我们分别在NIPS2015、JMLR2016和ICML2017发表的系列工作。 恭喜王超杰的文章,MultimodalPoissonGammaBeliefNetwork,被AAAI2018录用 第二届电子信息青年学者论坛(EIES2017)顺利在西安电子科技大学召开,会议详细内容,包括日程、特邀专家学者的slides,都可以在EIES2017大会主页下载:http://meeting.xidian.edu.cn/symposium/eies2017/。 恭喜王正珏和翟颖获得国家奖学金 恭喜丛玉来加入ECEDepartmentofDukeUniversityasapostdoc. ProgramCommitteememberforNIPS2017 丛玉来的文章,DeepLatentDirichletAllocationwithTopic-Layer-AdaptiveStochasticGradientRiemannian(TLASGR)MCMC,被InternationalCoferenceonMachineLearning(ICML)2017录用。恭喜!Astochasticonlinedeepprobabilisticgenerativemodel. 丛玉来的文章,FastSimulationofHyperplane-TruncatedMultivariateNormalDistributions,被BayesianAnalysis录用。恭喜! 2016电子信息青年学者论坛(EIES2016)11.12-13日在西安电子科技大学召开,由雷达信号处理国家重点实验室主办。欢迎大家来参会,会议免费注册:http://meeting.xidian.edu.cn/symposium/eies2016/ 恭喜张昊、万锦伟、王超杰、田隆获得航天三院举办的雷达目标识别竞赛第二名! 受邀在复旦大学召开的第二届《雷达学报》青年科学家论坛做SAR图像处理研究相关报告。 冯博的文章,RadarHRRPtargetrecognitionwithdeepnetworks,被PatternRecognition刊录,虽然经过了两年的review。恭喜! 受邀在第二届成都大数据技术与产业应用大会做主题报告。 丛玉来的文章,NonparametricBayesianAttributedScatteringCenterExtractionforSyntheticApertureRadarTargets,被IEEETransactionsonSignalProcessing录用。恭喜! 张学锋与丁军的两篇文章分别被PatternRecognition和GRSL录用。恭喜! 加拿大蒙特利尔参加NIPS2015. 受邀在雷达前沿技术论坛做大会报告。 受邀在南京信息工程大学和雷达学报青年学者论坛做大会报告。 张昊与丁艳华分别获得博士与硕士国家奖学金。恭喜! 与UniversityofTexasatAustin的MingyuanZhou教授合作论文“ThePoissonGammaBeliefNetwork”被NIPS2015录用,afullyBayesiandeepgenerativemodel。 获得总装预研重点基金资助 成功举办第四届MIIS国际会议。明年将在北京举行。 受邀在中国机器学习大会(MLA2015)做大会报告 科学研究 目前研究团队承担的科研项目(可公开的信息如下): 1、国家自然科学基金(面上项目):基于分层超完备字典稀疏表示的深度学习算法研究及应用,2014-2017. 2、新世纪优秀人才支持计划:2014-2016. 3、总装预研重点基金:2015-2018. 4、协同创新中心自设项目:2015-2018. 专利: RaymondLangley,StephenKingsmore,BoChenandLawrenceCarin,Methodfordiagnosisofsepsisandriskofdeath,Pub.Number:US2010/0273207,Pub.date:10.28,2010. 荣誉获奖 陈渤教授成果: ProgramCommitteememberforNIPS2017 2013新世纪优秀人才支持计划 2011NIPSTravelGrant,Granada,Spain 2010年全国百篇优秀博士论文提名奖 2010年陕西省科技进步三等奖 2009年陕西省优秀博士论文奖 2009年西安电子科技大学优秀博士论文奖 2008TravelAwardforSummerPrograminRIKENBSI,Japan.(Everyyearonlylessthan45onesareselectedfromtheglobalapplicants) 2008CandidateforMarquis'Who'sWhointheWorld2009 2006ICONIPStudentTravelAward,ICONIPconference,Hongkong。 陈渤教授团队学生成果: 2015年张昊与丁艳华分别获得博士与硕士国家奖学金; 张学锋与丁军的两篇文章分别被PatternRecognition和GRSL录用; 丛玉来的文章被IEEETransactionsonSignalProcessing录用; 冯博的文章被PatternRecognition录用; 张昊、万锦伟、王超杰、田隆获得航天三院举办的雷达目标识别竞赛第二名; 丛玉来的文章被BayesianAnalysis录用; 丛玉来的文章被InternationalCoferenceonMachineLearning(ICML)2017录用。 学生团队 学生生活: 1.学习-参加会议(2017ICML)、比赛(航天三院雷达目标识别竞赛第二名)、举办会议(2016电子信息青年学者论坛) 2.学习-暑期学校(2016、2017昆山杜克大学机器学习暑期学校) 3.生活-每年大组聚餐 4.生活-出差、参会间隙 课程教学 目前本人承担的教学任务: 电院教改班:模式识别与机器学习 电院卓越班:工程项目探讨 电院本科生:专业教育 国际教育学院留学生:Probability 研究生:特征学习 招生要求 1、每年将招收2名博士,欢迎highlymotivated的学生报考。对于研究生推免生,优先考虑有硕博连读志向的申请者。 2、踏实、认真、严谨,对工作与学习有较强的积极主动性; 3、在编程、数学、信号处理等任一方面有较深的功底和较浓的兴趣; 4、本科生需要在“学有余力”的情况下,对科研有兴趣,并希望继续深造; 5、博士后需要在机器学习、信号处理等领域的权威期刊和会议发表过相关文章。 具有较强编程经验的考研学生将被优先考虑,欢迎报考本组研究生。 如果您有兴趣加入我的团队,无论本科生、研究生还是博士后,都请与我联系(邮件)并附上您的简历。我会尽快回复您。

研究领域

机器学习、统计信号处理、雷达目标识别与检测、深度学习网络、大规模数据处理。

近期论文

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WenchaoChen,BoChen*,YichengLiu,QianruZhao,MingyuanZhou,SwitchingPoissonGammaDynamicalSystems,toappearinthe29thInternationalJointConferenceonArtificialIntelligence(IJCAI),Yokohama,Japan,July2020. ZhengjueWang,ChaojieWang,HaoZhang,ZhibinDuan,MingyuanZhou,andBoChen*,Learningdynamichierarchicaltopicgraphwithgraphconvolutionalnetworkfordocumentclassification,InternationalConferenceonArtificialIntelligenceandStatistics(AISTATS2020),Palermo,Sicily,Italy,June2020. HaoZhang,BoChen*,LongTian,ZhengjueWangandMingyuanZhou,VariationalHetero-EncoderRandomizedGANsforJointImage-TextModeling,inInternationalConferenceonLearningRepresentations(ICLR),AddisAbaba,ETHIOPIA,May2020. ChaojieWang,BoChen*,SuchengXiao,andMingyuanZhou,ConvolutionalPoissonGammaBeliefNetwork,toappearinInternationalConferenceonMachineLearning(ICML),2019:6515-6525,LongBeach,CA,USA,June2019.[Code] JinweiWan,BoChen*,BinXu,HongweiLiuandLinJin,ConvolutionalNeuralNetworksforRadarHRRPTargetRecognitionandRejection,EURASIP,2019(1):5,2019. ChuanDu,BoChen*,HongweiLiuandBinXu,FactorizedDiscriminativeConditionalVariationalAuto-encoderforRadarHRRPTargetRecognition,SignalProcessing,2019(158):176–189. ZhengjueWang,BoChen*,HaoZhangandHongweiLiu,VariationalProbabilisticGenerativeFrameworkforSingleImageSuper-Resolution,SignalProcessing,2019:92-105. BinXu,BoChen*,JinweiWan,HongweiLiu,andLinJin,Target-AwareRecurrentAttentionalNetworkforRadarHRRPTargetRecognition,SignalProcessing,2019:268-280. DandanGuo,BoChen*,HaoZhang,andMingyuanZhou,DeepPoissonGammaDynamicSystems,toappearinAdvancesinNeuralInformationProcessingSystems(NIPS),2018:8442-8452,Montreal,Canada. HaoZhang,BoChen*,ZhengjueWang,andHongweiLiu,DeepMax-MarginDiscriminantProjection,IEEETransactionsonCybernetics,Vol.49,No.7,2454-2466,July2019. HaoZhang,BoChen*,DandanGuo,andMingyuanZhou,WHAI:Weibullhybridautoencodinginferencefordeeptopicmodeling,toappearinInternationalConferenceonLearningRepresentations(ICLR),Vancouver,Canada,May2018.[Code] ChaojieWang,BoChen*,HongweiLiu,andMingyuanZhou,MultimodalPoissonGammaBeliefNetwork,toappearintheThirty-SecondAAAIConferenceonArtificialIntelligence(AAAI),NewOrleans,Lousiana,USA,Feburary2018.[Code] YulaiCong,BoChen*,HongweiLiu,andMingyuanZhou,DeeplatentDirichletallocationwithtopic-layer-adaptivestochasticgradientRiemannianMCMC,inInternationalConferenceonMachineLearning(ICML),PMLR70:864-873,Sydney,Australia,August2017. JingChai,BoChen,FanLiu,ZehuaChen,XinghaoDing.Multiple-InstanceFeatureExtractionattheBagandInstanceLevelsUsingtheMaximum-TraceDifferenceCriterion.InformationSciences:2017,385-386,353-377. YulaiCong,BoChen*,andMingyuanZhou,Fastsimulationofhyperplane-truncatedmultivariatenormaldistributions,BayesianAnalysis,Vol.12,No.4,pp:1017-1037,2017.[Code] BoFeng,BoChen*andHongweiLiu,RadarHRRPtargetrecognitionwithdeepnetworks,PatternRecognition61,379-393,2017. MingyuanZhou*,YulaiCong,andBoChen*,Augmentablegammabeliefnetworks,JournalofMachineLearningResearch,17(163),1-44,2016.[Code] YulaiCong,BoChen*,HongweiLiu,BoJiu.NonparametricBayesianAttributedScatteringCenterExtractionforSyntheticApertureRadarTargets.IEEETransactionsonSignalProcessing,64(18),4723-4736,2016. JunDing,BoChen*,HongweiLiu,MengyuanHuang,ConvolutionalNeuralNetworkWithDataAugmentationforSARTargetRecognition,IEEEGeoscienceandRemoteSensingLetters,13(3),364-368,2016. XuefengZhang,BoChen*,HongweiLiu,LeiZuo,andBoFeng,Infinitemax-marginfactoranalysisviadataaugmentation.PatternRecognition52,17-32,2016. HongweiLiu,BoFeng,BoChen*,LanDu,Radarhigh-resolutionrangeprofilestargetrecognitionbasedonstabledictionarylearning,IETRadar,Sonar&Navigation,10(2),228–237,2016. MingyuanZhou,YulaiCong,BoChen,ThePoissonGammaBeliefNetwork,AdvancesinNeuralInformationProcessingSystems(NIPS).3025-3033,2015,Montreal,Canada. JunkunYan,HongweiLiu,BoJiu,BoChen,ZhengLiu,ZhengBao:SimultaneousMultibeamResourceAllocationSchemeforMultipleTargetTracking.IEEETransactionsonSignalProcessing,63(12):3110-3122,2015.(ImpactFactor:3.2) BoChen,HaoZhang,XuefengZhang,WeiWen,HongweiLiuandJunLiu,Max-MarginDiscriminantProjectionviaDataAugmentation,IEEETransactionsonKnowledgeandDataEngineering,27(7),1964-1976,2015.(ImpactFactor:1.8) BoJiu,HongweiLiu,XuWang,LeiZhang,YinghuaWang,BoChen,Knowledge-BasedSpatial-TemporalHierarchicalMIMORadarWaveformDesignMethodforTargetDetectioninHeterogeneousClutterZone,IEEETransactionsonSignalProcessing,63(3),543-554,2015.(ImpactFactor:3.2) JunkunYan,BoJiu,HongweiLiu,BoChen,ZhengBao:PriorKnowledge-BasedSimultaneousMultibeamPowerAllocationAlgorithmforCognitiveMultipleTargetsTrackinginClutter.IEEETransactionsonSignalProcessing,63(2):512-527,2015.(ImpactFactor:3.2) RaymondJ.Langley,EphraimL.Tsalik,JenniferC.vanVelkinburgh,SethW.Glickman,BrandonJ.Rice,ChunpingWang,BoChen,LawrenceCarin,ArturoSuarez,RobertP.Mohney,DebraH.Freeman,MuWang,JinsamYou,JacobWulff,J.WillThompson,M.ArthurMoseley,StephanieReisinger,BrianT.Edmonds,BrianGrinnell,DavidR.Nelson,DarrellL.Dinwiddie,NeilA.Miller,CarolJ.Saunders,SarahS.Soden,AngelaJ.Rogers,LeeGazourian,LauraE.Fredenburgh,AnthonyF.Massaro,RebeccaM.Baron,AugustineM.K.Choi,G.RalphCorey,GeoffreyS.Ginsburg,CharlesB.Cairns,RonnyM.Otero,VanceG.FowlerJr,EmanuelP.Rivers,ChristopherW.Woods,StephenF.Kingsmore,Anintegratedclinico-me[ant]tabolomicmodelimprovespredictionofdeathinsepsis,ScienceTranslationalMedicine,Vol.5,Issue195,p.195ra95,July,2013.(ImpactFactor:10.8) BoJiu,HongweiLiu,BoChen,ZhengLiu,WaveformDesignforWidebandRadarTargetRecognitionBasedonEigensubspaceProjection,IETRadar,Sonar&Navigation,7(6),702–709,2013.(ImpactFactor:1.0) BoChen,GungorPolatkan,GuillermoSapiro,DavidBlei,DavidDunsonandLawrenceCarin,DeepLearningwithHierarchicalConvolutionalFactorAnalysis,IEEETransactionsonPatternAnalysisandMachineIntelligence,35(8),1887-1901,2013.(ImpactFactor:4.908) BoChen,DavidE.CarlsonandLawrenceCarin,OntheAnalysisofMulti-ChannelNeuralSpikeData,NeuralInformationProcessingSystems(NIPS)2011,Granada,Spain. BoChen,GuillermoSapiro,GungorPolatkan,DavidDunsonandLawrenceCarin,TheHierarchicalBetaProcessforConvolutionalFactorAnalysisandDeepLearning,InternationalConferenceonMachineLearning,ICML2011,Bellevue,Washington,USA.[onlinevideo:http://techtalks.tv/talks/54368/] BoChen,GuillermoSapiro,DavidDunson,LawrenceCarin,DeepNetworkswithHierarchicalConvolutionalFactorAnalysis,NeuralInformationProcessingSystems(NIPS)2010WorkshoponDeepLearningandUnsupervisedFeatureLearning,Vancouver,Canada. BoChen,MinhuaChen,JohnPaisley,AimeeZaas,ChristopherWoods,GeoffGinsburg,AlfredHeroIII,JosephLucas,DavidDunsonandLawrenceCarin.Bayesianinferenceofthenumberoffactorsingene-ex[ant]pressionanalysis:applicationtohumanviruschallengestudies.BMCBioinformatics,Volume11,Number1,552,2010.(ImpactFactor:3.028) BoChen,JohnPaisleyandLawrenceCarin.SparseLinearRegressionwithBetaProcessPriors,ICASSP2010,Dallas,USA. JingChai,HongweiLiu,BoChenandZhengBao.Largemarginnearestlocalmeanclassifier.SignalProcessing,Volume90Issue1,January,2010.(ImpactFactor:1.503) BoChen,HongweiLiu,JingChaiandZhengBao.LargeMarginFeatureWeightingviaLinearProgramming.IEEETransactionsonKnowledgeandDataEngineering,Vol21,No10,1475-1488,2009.(ImpactFactor:2.285) BoChen,HongweiLiuandZhengBao.OptimizingtheData-dependentKernelunderaUnifiedKernelOptimizationframework.PatternRecognition,41(6),2107-2119,2008.(ImpactFactor:3.172) BoChen,HongweiLiuandZhengBao.AKernelOptimizationMethodBasedontheLocalizedKernelFisher,PatternRecognition,41(3),1098-1109,2008.(ImpactFactor:3.172) BoChen,HongweiLiu,LiYuanandZhengBao.AdaptivelySegmentingAngularSectorsforRadarHRRPATR.EURASIPJournalonAppliedSignalProcessing,Volume2008(2008),ArticleID641709,6pages.(ImpactFactor:1.055) BoChen,HongweiLiuandZhengBao.AnEfficientKernelOptimizationMethodforRadarHigh-resolutionRangeProfileRecognition,EURASIPJournalonAppliedSignalProcessing.Vol.2007,ArticleID49597,10pages,2007.(ImpactFactor:1.055) BoChen,LiYuan,HongweiLiuandZhengBao.KernelSubclassDiscriminantAnalysis.Neurocomputing,71,455-458,2007.(ImpactFactor:1.595) BoChen,HongweiLiuandZhengBao.BasisVectorClassifier,SpecialissueofDynamicsofContinuous,DiscreteandImpulsiveSystems,14(s3),23-29,2007. BoChen,HongweiLiu,ZhengBao.AFusionKernelOptimizationMethod.JournalofXidianUniversity,34(4),509-513,2007.(inChinese) BoChen,HongweiLiu,ZhengBao.SpeedingupSVMinTestPhase:ApplicationtoRadarHRRPATR.TheProc.ofICONIP’06,Hongkong,China,Vol.4232,811-818,2006,SpringerBerlin. BoChen,HongweiLiuandZhengBao,AnEfficientKernelOptimizationMethodforHighRangeResolutionProfileRecognition,2006CIEInternationalConferenceonRadar,Shanghai,1-4,2006. BoChen,HongweiLiuandZhengBao,GeneralKernelOptimizationModelBasedonKernelFisherCriterion,ICNC2006,Xi’an,143-146,SpringerBerlin,2006. BoChen,HongweiLiu,ZhengBao.AKernelOptimizationMethodBasedontheLocalizedKernelFisherCriterion,ISNN2006,Chengdu,915-921,SpringerBerlin,2006. BoChen,HongweiLiu,ZhengBao.PCAandKernelPCAforRadarHighRangeResolutionProfilesRecognition.2005IEEEInternationalRadarConferenceinArlington,VirginiaUSA:pp.528-533. BoChen,HongweiLiu,ZhengBaoandXuefeiCao.AKernelOptimizationAlgorithmBasedonFusionKernelforHighRangeResolutionProfilesRecognition.ACTAELECTRONICASINICA,34(6),1146-1151,2006.(inChinese) BoChen,HongweiLiuandZhengBao.AnalysisandComparisonofThreeKindsofClassificationBasedDifferentAbsoluteAlignmentMethods.ModernRadar,Vol.28(3),58-62,2006.(inChinese) BoChen,HongweiLiuandZhengBao.AnHRRPRecognitionMethodBasedonZeroPhaseRepresentation.JournalofXidianUniversity,32(5),657-662,2005.(inChinese)

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