Lei Feng

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Bo AnNanyang Technological UniversityVerified email at ntu.edu.sg
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at postman.riken.jp
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Hongxin WeiPhD Student in Nanyang Technological UniversityVerified email at e.ntu.edu.sg
Senlin ShuVerified email at email.swu.edu.cn
Miao XuRIKEN, AIPVerified email at lamda.nju.edu.cn
Zhuoyi LinPh.D student, Nanyang Technological UniversityVerified email at e.ntu.edu.sg
Bo HanHKBU / RIKENVerified email at comp.hkbu.edu.hk
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
Fengmao LvSchool of Computing and Artificial Intelligence, Southwest Jiaotong UniversityVerified email at swjtu.edu.cn
Jiaqi LvSoutheast UniversityVerified email at seu.edu.cn
Nan LuPh.D. student, The University of TokyoVerified email at ms.k.u-tokyo.ac.jp
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Zhuowei WangUniversity of Technology SdyneyVerified email at student.uts.edu.au
Jing JiangUniversity of Technology SydneyVerified email at uts.edu.au
Lixin DuanUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Qingyu GuoNanyang Technological UniversityVerified email at e.ntu.edu.sg
Rundong WangPh.D. student of Computer Science, Nanyang Technological UniversityVerified email at e.ntu.edu.sg
Deng-Bao WangPh.D. Student, Southeast University.Verified email at seu.edu.cn
Min-Ling ZhangProfessor, School of Computer Science and Engineering, Southeast University, ChinaVerified email at seu.edu.cn

Lei Feng

Chongqing University / RIKEN Center for Advanced Intelligence Project

Verified email at cqu.edu.cn - Homepage

Machine Learning


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Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization H Wei, L Feng, X Chen, B An IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13726 …, 2020	71	2020
Partial Label Learning with Self-Guided Retraining L Feng, B An AAAI Conference on Artificial Intelligence (AAAI), 3542-3549, 2019	51	2019
Leveraging Latent Label Distributions for Partial Label Learning L Feng, B An International Joint Conference on Artificial Intelligence (IJCAI), 2107-2113, 2018	44	2018
Collaboration based Multi-Label Learning L Feng, B An, S He AAAI Conference on Artificial Intelligence (AAAI), 3550-3557, 2019	32	2019
Partial Label Learning by Semantic Difference Maximization L Feng, B An International Joint Conference on Artificial Intelligence (IJCAI), 2294-2300, 2019	32	2019
A Driving Behavior Detection System based on a Smartphone's Built‐in Sensor Y Li, F Xue, L Feng, Z Qu International Journal of Communication Systems 30 (8), 1-13, 2017	28	2017
Learning with Multiple Complementary Labels L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama International Conference on Machine Learning (ICML), 3072-3081, 2020	26	2020
Progressive Identification of True Labels for Partial-Label Learning J Lv, M Xu, L Feng, G Niu, X Geng, M Sugiyama International Conference on Machine Learning (ICML), 6500-6510, 2020	25	2020
Can Cross Entropy Loss be Robust to Label Noise? L Feng, S Shu, Z Lin, F Lv, L Li, B An International Joint Conference on Artificial Intelligence (IJCAI), 2206-2212, 2020	19	2020
Provably Consistent Partial-Label Learning L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama Advances in Neural Information Processing Systems (NeurIPS), 10948-10960, 2020	15	2020
Estimating Latent Relative Labeling Importances for Multi-Label Learning S He, L Feng, L Li IEEE International Conference on Data Mining (ICDM), 1013-1018, 2018	8	2018
Semi-Supervised Classification using Multiple Clusterings G Yu, L Feng, G Yao, J Wang Pattern Recognition and Image Analysis 26 (4), 681-687, 2016	5	2016
Pointwise Binary Classification with Pairwise Confidence Comparisons L Feng, S Shu, N Lu, B Han, M Xu, G Niu, B An, M Sugiyama International Conference on Machine Learning (ICML), 3252-3262, 2021	3	2021
Fast Top-N Personalized Recommendation on Item Graph Z Lin, L Feng, C Xu, CK Kwoh IEEE International Conference on Big Data (BigData), 3903-3908, 2019	3	2019
Learning from Similarity-Confidence Data Y Cao, L Feng, Y Xu, B An, G Niu, M Sugiyama International Conference on Machine Learning (ICML), 1272-1282, 2021	2	2021
Incorporating Multiple Cluster Centers for Multi-Label Learning S Shu, F Lv, L Feng, Y Yan, S He, J He, L Li arXiv preprint arXiv:2004.08113, 2020	2	2020
Regularized Matrix Factorization for Multilabel Learning With Missing Labels L Feng, J Huang, S Shu, B An IEEE Transactions on Cybernetics, 2020	2	2020
Semi-Supervised Classification Based on Mixture Graph L Feng, G Yu Algorithms 8 (4), 1021-1034, 2015	2	2015
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Z Wang, J Jiang, B Han, L Feng, B An, G Niu, G Long arXiv preprint arXiv:2012.00925, 2020	1	2020
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning J Zhang, F Lv, G Yang, L Feng, Y Yu, L Duan arXiv preprint arXiv:2003.14105, 2020	1	2020

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