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个人简介

杨云,云南大学软件学院教授,博士生导师,CCF高级会员,入选云南省“海外高层次人才引进计划”,云南省“中青年学术和技术带头人后备人才”,云南大学“东陆学者”支持计划,云南大学“青年英才计划”。担任中国信息经济学会理事,全国高校人工智能与大数据创新联盟理事,云南省高校数据科学与智能计算重点实验室主任,昆明市数据科学与智能计算重点实验室主任,《NeuralNetworks》(中科院JCR一区期刊)编委,《云南大学学报(自然科学版)》编委,多个国际学术会议的程序委员会委员。2011年获得英国曼彻斯特大学计算机科学博士学位。攻读博士学位期间,其入选英国政府资助的海外研究生奖励计划(UKOverseasResearchStudentsAwardsScheme–ORSAS)。博士毕业之后,其在英国萨里大学从事研究员工作,参与由欧共体第七个框架计划资助下的国际合作项目。 2014年3月杨云博士以引进人才形式进入云南大学工作,之后分别主持国家自然科学基金项目3项(面上,青年,地区),参与国家自然科学基金项目1项,主持省部级科研项目5项。杨云博士的研究方向包括:人工智能,机器学习,数据挖掘,模式识别,大数据处理与分析等,其代表性研究成果分别发表于《IEEETransactionsonCybernetics》,《IEEETransactionsonNeuralNetworksandLearningSystems》,《IEEETransactionsonKnowledgeandDataEngineering》,《IEEETransactionsonSystems,Man,andCybernetics》《IEEETransactionsonIndustrialInformatics》《PatternRecognition》《InformationFusion》等人工智能领域的知名学术期刊。同时,在国内外权威学术出版社出版著作2部,2018年获得云南省自然科学奖二等奖1项(排名第二),2019年获得全国高校人工智能与大数据学术创新奖1项(个人奖项)。此外,杨云博士进一步把理论研究与实际应用相结合,与多家大型企业进行了全面的产学研合作,研究成果被广泛应用在智能视频安全预警系统,交通大数据分析系统,脸部识别系统,多边贸易交易系统,公路养护管理平台的桥梁修护等级评估系统,相关产学研课题积累数据1.4PB,取得直接或间接的经济效益达1800余万元以上,并申请与获准多项发明专利,软件著作权。 教育背景 2006-2011,博士 计算机科学(机器学习与数据挖掘) 英国曼彻斯特大学(ManchesterUniversity) 2005–2006,硕士(研究型) 信息学(机器学习与数据挖掘) 英国曼彻斯特大学(ManchesterUniversity) 2004–2005,硕士(授课型) 高等计算机科学 英国布里斯托大学(BristolUniversity) 2001–2004,学士 信息技术与电子通信,一等学位. 英国兰卡斯特大学(LancasterUniversity)

研究领域

•人工智能 •机器学习 •数据挖掘 •模式识别 •多媒体数据分析/索引/检索 •时间序列数据分析 •智能软件工程 •深度学习算法研究与应用 •大数据处理

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1.YangP.,QiJ.,NewcombeL.,PengX.,YangY.,ZhaoZ.(2020):ExaminingDataFusionTechniquesforInternetofThingsenabledPhysicalActivityRecognitionandMeasure:ASystematicSurvey,InformationFusion,55:268-280(SCIJCR一区,ESItop期刊IF:10.716) 2.YangY.andJiangJ.(2019):AdaptiveBi-weightingtowardsAutomaticInitializationandModelSelectionforHMM-basedHybridMeta-clusteringEnsembles,IEEETransactionsonCybernetics,49(5):1657-1668(SCIJCR一区,ESItop期刊IF:10.387) 3.YangP.,YangG.,QiJ.,LiuJ.,WangT.,YangY.,WangX.(2019):DUAPM:AnEffectiveDynamicMicro-bloggingUserActivityPredictionModeltowardsCyber-Physical-SocialSystems,IEEETransactionsonIndustrialInformatics,ToAppear(SCIJCR一区IF:7.377) 4.LeeS.,TsengC.,LinG.,YangY.*,YangP.,MuhammadK.,PandeyeH.(2019):ADimension-ReductionBasedMultilayerPerceptionMethodforSupportingtheMedicalDecisionMaking,PatternRecognitionLetter,ToAppear(SCIJCR三区IF:2.81) 5.YangP.,LiuJ.,QiJ.,YangY.,WangQ.andLvZ.,(2019):ComparisonandModellingofCountry-LevelMicro-blogUserBehaviourandActivityinCyber-Physical-SocialSystemsusingWeiboandTwitterData,ACMTransactionsonIntelligentSystemsandTechnology,ToAppear(SCIJCR一区IF:2.861) 6.HeZ.,NanF.,LiX.,LeeS.,YangY.*(2019):TrafficSignRecognitionbyCombiningGlobalandLocalFeaturesBasedonSemi-supervisedClassification,IETIntelligentTransportSystems,ToAppear(SCIJCR三区IF:2.05) 7.YangY.,NanF.,YangP.,MengQ.,XieY.,ZhangD.,MuhammadK.(2019):GAN-basedSemi-supervisedLearningApproachforClinicalDecisionSupportinHealth-IoTPlatform,IEEEAccess,7:8048-8057.(SCIJCR一区IF:4.098) 8.YangY.,CaoL.,LiuQ.,YangP.(2019):AStackedMulti-GranularityConvolutionDenoisingAuto-Encoder,IEEEAccess,7:83888-83899.(SCIJCR一区IF:4.098) 9.ZhangD.,CuiM.,YangY.,YangP.,XieC.,LiuD.,YuB.,ChenZ.(2019):KnowledgeGraph-BasedImageClassificationRefinement,IEEEAccess,7:57678-57690(SCIJCR一区IF:4.098) 10.YangY.,LiuX.,YeQ.,TaoD.(2018):EnsembleLearningbasedPersonRe-IdentificationwithMultipleFeatureRepresentations,Complexity,2018:1-12.(SCIJCR一区IF:2.591) 11.QiJ.,YangP.,DengZ.,ZhaoY.,WaraichA.,YangY.,(2018):ExaminingSensor-basedPhysicalActivityRecognitionandMonitoringforHealthcareUsingInternetofThings:ASystematicReview,JournalofBiomedicalInformatics,87:138-153.(SCIJCR二区IF:2.95) 12.XieC.,CaiH.,YangY.*,JiangL.,YangP.(2018):UserProfilinginElderlyHealthcareServicesinChina:ScalperDetection,IEEEJournalofBiomedicalandHealthInformatics,22(6):1796-1806.(SCIJCR一区IF:4.217) 13.LiJ.,YangY.*,WangX.,ZhaoZ.,LiT.(2018):ANovelParallelDistanceMetric-basedApproachforDiversifiedRankingonLargeGraphs,FutureGenerationComputerSystems,88:79-91.(SCIJCR一区IF:5.768) 14.XieC.;YangP.;YangY.*(2018):OpenKnowledgeAccessingMethodinIoT-basedHospitalInformationSystemforMedicalRecordEnrichment,IEEEAccess,6(1):15202-15211(SCIJCR一区IF:4.098) 15.LeeS.;XuZ.;LiT.;YangY.*(2018):ANovelBaggingC4.5AlgorithmBasedonWrapperFeatureSelectionforSupportingWiseClinicalDecisionMaking,JournalofBiomedicalInformatics,78:144-155(SCIJCR二区IF:2.95) 16.YangY.andJiangJ.(2018):Bi-weightedensembleviaHMM-basedapproachesfortemporaldataclustering,PatternRecognition,76:391-403.(SCIJCR一区IF:5.898) 17.YangY.,LiZ.,WangW.andTaoD.(2017):Anadaptivesemi-supervisedclusteringapproachviamultipledensity-basedinformation,Neurocomputing,257:193-205.(SCIJCR一区IF:4.072) 18.YangY.andJiangJ.(2016):Hybridsampling-basedclusteringensemblewithglobalandlocalconstitutions,IEEETransactionsonNeuralNetworksandLearningSystems,27(5):952-965.(SCIJCR一区,ESItop期刊IF:11.683) 19.YangY.andLiuX.(2015):ARobustSemi-supervisedLearningApproachviaMixtureofLabelInformation,PatternRecognitionLetters,68:15-21.(SCIJCR一区IF:2.81) 20.YangY.andJiangJ.(2014):HMM-basedhybridmeta-clusteringensemblefortemporaldata,Knowledge-basedsystems,56:299-310.(SCIJCR一区IF:5.101) 21.YangY.andChenK.(2011):Temporaldataclusteringviaweightedclusteringensemblewithdifferentrepresentations,IEEETransactionsonKnowledgeandDataEngineering,23(2):317-320.(SCIJCR一区,CCF推荐期刊A类IF:3.857) 22.YangY.andChenK.(2011):TimeSeriesClusteringviaRPCLEnsembleNetworkswithDifferentRepresentations,IEEETransactionsonSystems,Man,andCybernetics-PartC,41(2):190–199.(SCIJCR一区) 23.代飞,赵文卓,杨云*,莫启,李彤,周华(2018):BPMN2.0编排的形式语义和分析,软件学报,29(4):1094-1114(EI,CCF推荐中文期刊A类) 24.杜飞,杨云*,胡媛媛,曹丽娟(2019):深度共享集成网络:一种简单的共享式多层梯度补给方法,软件学报(EI,CCF推荐中文期刊A类) 25.徐继伟,杨云*(2018):集成学习方法:研究综述,云南大学学报(自然科学版),19(6):1082-1092(中文核刊) 26.向鸿鑫,杨云*(2019):不平衡数据挖掘方法综述,计算机工程与应用,55(4):1-16(中文核刊,CCF推荐中文期刊C类) 27.白扬;曹丽娟;胡媛媛;杨云*(2019):基于特征补偿的单目标跟踪算法,计算机工程与设计(中文核刊,CCF推荐中文期刊C类) 国际会议论文: 1.1.LiX.,YangY.*,YangP.(2019),Multi-sourceensembletransferapproachformedicaltextauxiliarydiagnosis,The19thIEEEInternationalConferenceonBioinformaticsandBioengineering(BIBE2019).(EI) 2.ShaoW.,YangP.,YangY*.(2019):EnsembleofReceptiveFieldsforTrainingCentral-FocusedConvolutionalNeuralNetworks,2019IEEEInternationalConferenceonIndustrialInformatics.(EI) 3.WangX.,QiJ.,YangY.,YangP.(2019):ASurveyofDiseaseProgressionModellingTechniquesforAlzheimer'sDiseases,2019IEEEInternationalConferenceonIndustrialInformatics.(EI) 4.XieC.,LiuD.,YangY.*,YangP.,YuB.,ChenZ.,FengQ.andPengJ.(2019):KnowledgeGraphbasedInternetofThingsMiddleware,2019IEEEInternationalConferenceonIndustrialInformatics.(EI) 5.QiJ.,YangY.,PengX.,NewcombeL.,SimpsonA.,YangP.(2019):ExperimentalAnalysisofArtificialNeuralNetworksPerformanceforPhysicalActivityRecognitionUsingBeltandWristbandDevices,41stAnnualInternationalConferenceoftheIEEEEngineeringinMedicineandBiologySociety(EMBS).(EI) 6.CaoL.,LiuQ.,YangY.*(2019),AnUnsupervisedFeatureExtractionMethodbasedonMulti-granularityConvolutionDenoisingAutoencoder,2019IEEE/ACIS18thInternationalConferenceOncomputerandInformationScience.(EI) 7.ZhaoH.,LiuQ.andYangY.*(2018),TransferLearningwithEnsembleofMultipleFeatureRepresentations,16thIEEE/ACISInternationalConferenceonSoftwareEngineeringResearch,ManagementandApplications.(EI) 8.JiaX.,WangS.andYangY.*(2018),Least-SquaresSupportVectorMachineforSemi-SupervisedMulti-Tasking,16thIEEE/ACISInternationalConferenceonSoftwareEngineeringResearch,ManagementandApplications.(EI) 9.LiuQ.,WangJ,ZhangD.,YangY.andWangN.(2018),TextfeaturesextractionbasedonTF-IDFassociatingsemantic,20184thIEEEInternationalConferenceonComputerandCommunications(EI) 10.WangY.,ZhangD.,YuanY.,LiuQ.,YangY.(2018),Improvementoftf-idfalgorithmbasedonknowledgegraph,16thIEEE/ACISInternationalConferenceonSoftwareEngineeringResearch,ManagementandApplications.(EI) 11.ChenF.,ChaiJ.,RenD.,LiuX.andYangY.*(2017),Semi-SupervisedDistanceMetricLearningforPersonRe-Identification,2017IEEE/ACIS16thInternationalConferenceOncomputerandInformationScience.(EI) 12.GanJ.,LiA,LeiQ.,RenH.andYangY.*(2017),K-meansbasedonActiveLearningforSupportVectorMachine,2017IEEE/ACIS16thInternationalConferenceOncomputerandInformationScience.(EI) 13.ZhangD.,WangN.,YuanY.,WangB.andYangY.*(2017).Fuzzyontologyinductioninthecognitivemodelofontologylearning,2017IEEE/ACIS16thInternationalConferenceOncomputerandInformationScience,pp.739-744.(EI) 14.YangY.andChenK.(2010):UnsupervisedLearningviaIterativelyConstructedClusteringEnsemble.ProceedingsofInternationalJointConferenceonNeuralNetworks(IJCNN'10),Barcelona,Spain.(EI) 15.YangY.andChenK.(2006):Anensembleofcompetitivelearningnetworkswithdifferentrepresentationsfortemporaldataclustering.ProceedingsofInternationalJointConferenceonNeuralNetworks(IJCNN'06),pp.5759-5766,Vancouver,Canada.(EI)

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