职称：教授(博导/硕导、弘深青年学者)
办公地点：主教1507
E-mail:lfeng@cqu.edu.cn
研究方向：机器学习，数据挖掘，人工智能
招生信息：年度招收博士生1名、硕士生3名，招收数学、计算机等专业
冯磊，重庆大学弘深青年学者引进人才（教授、博导），兼任日本理化学研究所先进智能研究中心（RIKENCenterforAdvancedIntelligenceProject）VisitingScientist。博士毕业于新加坡南洋理工大学（NanyangTechnologicalUniversity,Singapore），在提前毕业的情况下，获得南洋理工大学计算机科学与工程学院杰出博士学位论文奖第二名（NTUSCSEOutstandingPhDThesisAwardRunner-Up）。中国计算机学会（CCF）会员，中国人工智能学会（CAAI）会员，国际人工智能促进学会（AAAI）会员，美国计算机学会（ACM）会员，中国人工智能学会机器学习专委会通讯委员。担任IJCAI2021与AAAI2022高级程序委员会委员（seniorprogramcommitteemember），ICML2021专家审稿人（expertreviewer），以及其他国际顶级（CCFA类）会议（包括NeurIPS、KDD、CVPR、ICCV、AAAI）的程序委员会委员/审稿人，并受邀担任多个国际顶级期刊（包括JMLR、IEEE-TPAMI、IEEE-TIP、IEEE-TNNLS、MLJ）审稿人。入选2021年福布斯中国30岁以下精英榜（30Under30）。
主要研究方向为机器学习、数据挖掘、人工智能。已在InternationalConferenceonMachineLearning(ICML)，AnnualConferenceonNeuralInformationProcessingSystems(NeurIPS),ACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining(KDD)，IEEE/CVFConferenceonComputerVisionandPatternRecognition(CVPR),InternationalConferenceonComputerVision(ICCV),AAAIConferenceonArtificialIntelligence(AAAI),InternationalJointConferenceonArtificialIntelligence(IJCAI)等国际顶级（CCFA类）会议与中科院一区期刊上发表论文二十余篇。
本课题组研究经费充足，与国内外著名高校和研究机构有紧密的合作，欢迎青年老师和有意从事学术研究的博士后博士生硕士生加入（或访问）本课题组
招收弘深青年教师（特别资助：37-40万元/年，重点资助：27-30万元/年）
注意：2022年秋季入学的博士硕士研究生招生名额已满，谢谢各位同学的热情，请勿再邮件联系我了
代表性论文（顶会统计：4ICML,3NeurIPS,3ICLR,4AAAI,5IJCAI,1KDD,1CVPR,1ICCV）
[24]LueTao,LeiFeng,JinfengYi,SongcanChen.WithFalseFriendsLikeThese,WhoCanNoticeMistakes.Proceedingsofthe36thAAAIConferenceonArtificialIntelligence(AAAI'22),toappear,2022.(CCFA)
[23]RenchunziXie,HongxinWei,LeiFeng,BoAn.GearNet:StepwiseDualLearningforWeaklySupervisedDomainAdaptation.Proceedingsofthe36thAAAIConferenceonArtificialIntelligence(AAAI'22),toappear,2022.(CCFA)
[22]LueTao,LeiFeng,JinfengYi,ShengjunHuang,SongcanChen.BetterSafeThanSorry:PreventingDelusiveAdversarieswithAdversarialTraining.Proceedingsofthe35thAnnualConferenceonNeuralInformationProcessingSystems(NeurIPS'21),toappear,2021.(CCFA)
[21]DengbaoWang,LeiFeng,MinlingZhang.RethinkingCalibrationofDeepNeuralNetworks:DoNotBeAfraidofOverconfidence.Proceedingsofthe35thAnnualConferenceonNeuralInformationProcessingSystems(NeurIPS'21),toappear,2021.(CCFA)
[20]TaoLiang,GuoshengLin,LeiFeng,YanZhang,FengmaoLv.AttentionisnotEnough:MitigatingtheDistributionDiscrepancyinAsynchronousMultimodalSequenceFusion.ProceedingsoftheInternationalConferenceonComputerVision(ICCV'21),toappear,2021.(CCFA)
[19]LeiFeng,SenlinShu,YuzhouCao,LueTao,HongxinWei,TaoXiang,BoAn,GangNiu.Multiple-InstanceLearningfromSimilarandDissimilarBags.Proceedingsofthe27thACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining(KDD'21),toappear,2021.(CCFA)
[18]LeiFeng,SenlinShu,NanLu,BoHan,XinGeng,GangNiu,BoAn,MasashiSugiyama.PointwiseBinaryClassificationwithPairwiseConfidenceComparisons.Proceedingsofthe38thInternationalConferenceonMachineLearning(ICML'21),toappear,2021.(CCFA)
[17]YuzhouCao,LeiFeng,XitianXu,BoAn,GangNiu,MasashiSugiyama.LearningfromSimilarity-ConfidenceData.Proceedingsofthe38thInternationalConferenceonMachineLearning(ICML'21),toappear,2021.(CCFA)
[16]DengbaoWang,LeiFeng,MinlingZhang.LearningfromComplementaryLabelsviaPartial-OutputConsistencyRegularization.Proceedingsofthe30thInternationalJointConferenceonArtificialIntelligence(IJCAI'21),toappear,2021.(CCFA)
[15]ZhuoyiLin,LeiFeng*,RuiYin,ChiXu,CheeKeongKwoh.GLIMG:GlobalandLocalItemGraphsforTop-NRecommenderSystems.InformationSciences(INS),toappear,2021.(IF=6.795,中科院一区,*通讯作者)
[14]LeiFeng,JiaqiLv,BoHan,MiaoXu,GangNiu,XinGeng,BoAn,MasashiSugiyama.ProvablyconsistentPartial-LabelLearning.Proceedingsofthe34thAnnualConferenceonNeuralInformationProcessingSystems(NeurIPS'20),toappear,2020.(CCFA)
[13]LeiFeng*,TakuoKaneko,BoHan,GangNiu,BoAn,MasashiSugiyama.LearningwithMultipleComplementaryLabels.Proceedingsofthe37thInternationalConferenceonMachineLearning(ICML'20),pp.3072-3081,2020.(CCFA,*通讯作者,共同一作)
[12]JiaqiLv,MiaoXu,LeiFeng,GangNiu,XinGeng,MasashiSugiyama.ProgressiveIdentificationofTrueLabelsforPartial-LabelLearning.Proceedingsofthe37thInternationalConferenceonMachineLearning(ICML'20),pp.6500-6510,2020.(CCFA)
[11]JunHuang*,LinchuanXu,JingWang,LeiFeng*,KenjiYamanishi.DiscoveringLatentClassLabelsforMulti-LabelLearning.Proceedingsofthe29thInternationalJointConferenceonArtificialIntelligence(IJCAI'20),pp.3058-3064,2020.(CCFA,*通讯作者)
[10]LeiFeng,SenlinShu,ZhuoyiLin,FengmaoLv,LiLi,BoAn.CanCrossEntropyLossBeRobusttoLabelNoiseProceedingsofthe29thInternationalJointConferenceonArtificialIntelligence(IJCAI'20),pp.2206-2212,2020.(CCFA)
[9]HongxinWei,LeiFeng*,XiangyuChen,BoAn.CombatingNoisyLabelsbyAgreement:AJointTrainingMethodwithCo-Regularization.Proceedingsofthe2020IEEE/CVFConferenceonComputerVisionandPatternRecognition(CVPR'20),pp.13726-13735,2020.(CCFA,*通讯作者)
[8]LeiFeng,JunHuang,SenlinShu,BoAn.RegularizedMatrixFactorizationforMulti-LabelLearningwithMissingLabels.IEEETransactionsonCybernetics(IEEE-TCYB),DOI:10.1109/TCYB.2020.3016897.(IF=11.079,中科院一区)
[7]YanYan,ShiningLi,LeiFeng*.PartialMulti-LabelLearningwithMutualTeaching.Knowledge-BasedSystems(KBS),DOI:10.1016/j.knosys.2020.106624.(IF=5.921,中科院一区,*通讯作者)
[6]LeiFeng,HongxinWei,QingyuGuo,ZhuoyiLin,BoAn.Embedding-AugmentedGeneralizedMatrixFactorizationforRecommendationwithImplicitFeedback.IEEEIntelligentSystems(IEEE-IS),DOI:10.1109/MIS.2020.3036136.(IF=3.21,中科院三区)
[5]LeiFeng,BoAn.PartialLabelLearningwithSelf-GuidedRetraining.Proceedingsofthe33rdAAAIConferenceonArtificialIntelligence(AAAI'19),pp.3542-3549,2019.(CCFA)
[4]LeiFeng,BoAn,ShuoHe.CollaborationbasedMulti-LabelLearning.Proceedingsofthe33rdAAAIConferenceonArtificialIntelligence(AAAI'19),pp.3550-3557,2019.(CCFA)
[3]LeiFeng,BoAn.PartialLabelLearningbySemanticDifferenceMaximization.Proceedingsofthe28thInternationalJointConferenceonArtificialIntelligence(IJCAI'19),pp.2294-2300,2019.(CCFA)
[2]ShuoHe,LeiFeng,LiLi.EstimatingLatentRelativeLabelingImportancesforMulti-LabelLearning.Proceedingsofthe2018IEEEConferenceonDataMining(ICDM'18),pp.1013-1018,2018.(CCFB)
[1]LeiFeng,BoAn.LeveragingLatentLabelDistributionsforPartialLabelLearning.Proceedingsofthe27thInternationalJointConferenceonArtificialIntelligence(IJCAI'18),pp.2107-2113,2018.(CCFA)
会议专家审稿人（expertreviewer）：ICML2021
会议高级程序委员会委员（SPC）：IJCAI2021、AAAI2022
会议程序委员会委员/审稿人（PC/reviewer）：NeurIPS2020-2021、CVPR2021-2022、KDD2021、ICCV2021、ACML2021、ICLR2021-2022、AAAI2020-2021、AISTATS2022、SDM2022
期刊审稿人：JMLR、MLJ、IEEE-TPAMI、IEEE-TIP、IEEE-TNNLS、IEEE-TMM、IEEE-IS、KAIS、KBS、APIN