个人简介
孙露博士,2009本科毕业于武汉大学电子信息学院,2013年硕士毕业于东北师范大学物理学院,2017年博士毕业于日本北海道大学信息科学研究院,2017年至2019年在日本京都大学从事博士后的研究工作。孙露博士于2019年11月全职加入上海科技大学信息科学与技术学院,担任tenure-track助理教授、博士生导师、研究员。孙露博士的研究兴趣包括机器学习、模式识别、数据挖掘等人工智能领域,目前主要集中在多标签分类及多视角多任务学习与应用
近期论文
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LuSun,CanhHaoNguyen,HiroshiMamitsuka,FastandRobustMulti-ViewMulti-TaskLearningviaGroupSparsity,inProceedingsofthe28thInternationalJointConferenceonArtificialIntelligence(IJCAI2019),3499-3505,2019,Macao,China.
LuSun,CanhHaoNguyen,HiroshiMamitsuka,MultiplicativeSparseFeatureDecompositionforEfficientMulti-ViewMulti-TaskLearning,inProceedingsofthe28thInternationalJointConferenceonArtificialIntelligence(IJCAI2019),3506-3512,2019,Macao,China.
LuSunandMineichiKudo,Multi-LabelClassificationbyPolytree-AugmentedClassifierChainswithLabel-DependentFeatures,PatternAnalysisandApplications,22(3),1029-1049,2019.
LuSunandMineichiKudo,OptimizationofClassifierChainsviaConditionalLikelihoodMaximization,PatternRecognition,74:503-517,2018.
LuSun,MineichiKudoandKeigoKimura,READER:RobustSemi-SupervisedMulti-LabelDimensionReduction,IEICETransactionsonInformationandSystems,E100-D(10):2597-2604,2017.
LuSun,MineichiKudoandKeigoKimura,Multi-LabelClassificationwithMeta-Label-SpecificFeatures,inProceedingsofthe23rdInternationalConferenceonPatternRecognition(ICPR2016),1612-1617,2016,Cancun,Mexico.
LuSun,MineichiKudoandKeigoKimura,AScalableClustering-BasedLocalMulti-LabelClassificationMethod,inProceedingsofthe22ndEuropeanConferenceonArtificialIntelligence(ECAI2016),261-268,2016,TheHague,Netherlands.
LuSunandMineichiKudo,Polytree-AugmentedClassifierChainsforMulti-LabelClassification,inProceedingsofthe24thInternationalJointConferenceofArtificialIntelligence(IJCAI2015),3834-3840,2015,BuenosAires,Argentina.