师资队伍
冯磊
时间:2021-05-14    浏览量:

1 基本信息

姓 名:冯磊

性 别:男

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

Homepage: https://lfeng-ntu.github.io/

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

2 个人简介

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(RIKEN Center for Advanced Intelligence ProjectVisiting Scientist,博士毕业于新加坡南洋理工大学(Nanyang Technological University, 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NTU SCSE Outstanding PhD Thesis Runner-Up Award)。主要研究方向为机器学习、数据挖掘、人工智能。已在International Conference on Machine Learning (ICML)Annual Conference on Neural Information Processing Systems (NeurIPS), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)AAAI Conference on Artificial Intelligence (AAAI), International Joint Conference on Machine Learning (IJCAI)国际顶级(CCF A类)会议与中科院一区期刊上以第一作者或通讯作者发表论文十余篇。担任IJCAI 2021高级程序委员会委员(senior program committee member),ICML 2021 专家审稿人(expert reviewer),以及其他国际顶级(CCF A类)会议(包括NeurIPS、KDDCVPRICCVAAAI)的程序委员会委员/审稿人,并受邀担任多个国际知名期刊(包括JMLR、IEEE-TPAMIIEEE-TIPIEEE-TNNLS、MLJ)审稿人。

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。同时,我向大家强烈推荐以下导师(人好学术强)

王宁老师:/info/1331/5167.htm     古富强老师:http:/info/1322/5190.htm

王逸群老师/info/1326/5564.htm     郭尚伟老师:/info/1332/5290.htm

3 学术成果

代表性论文(仅列长文)

Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu.
Multiple-Instance Learning from Similar and Dissimilar Bags.
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), to appear, 2021. (CCF A)

Lei Feng, Senlin Shu, Nan Lu, Bo Han, Xin Geng, Gang Niu, Bo An, Masashi Sugiyama.
Pointwise Binary Classification with Pairwise Confidence Comparisons.
Proceedings of the 38th International Conference on Machine Learning (ICML'21), to appear, 2021. (CCF A)

Yuzhou Cao, Lei Feng, Xitian Xu, Bo An, Gang Niu, Masashi Sugiyama.
Learning from Similarity-Confidence Data.
Proceedings of the 38th International Conference on Machine Learning (ICML'21), to appear, 2021. (CCF A)

Dengbao Wang, Lei Feng, Minling Zhang.
Learning from Complementary Labels via Partial-Output Consistency Regularization.
Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), to appear, 2021. (CCF A)

Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama.
Provably consistent Partial-Label Learning.
Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS'20), to appear, 2020. (CCF A)

Lei Feng*†, Takuo Kaneko†, Bo Han, Gang Niu, Bo An, Masashi Sugiyama.
Learning with Multiple Complementary Labels.
Proceedings of the 37th International Conference on Machine Learning (ICML'20), pp.3072-3081, 2020. (CCF A, *通讯作者, †共同一作)

Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama.
Progressive Identification of True Labels for Partial-Label Learning.
Proceedings of the 37th International Conference on Machine Learning (ICML'20), pp.6500-6510, 2020. (CCF A)

Jun Huang*, Linchuan Xu, Jing Wang, Lei Feng*, Kenji Yamanishi.
Discovering Latent Class Labels for Multi-Label Learning.
Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), pp.3058-3064, 2020. (CCF A, *通讯作者)

Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An.
Can Cross Entropy Loss Be Robust to Label Noise?
Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), pp.2206-2212, 2020. (CCF A)

Hongxin Wei, Lei Feng*, Xiangyu Chen, Bo An.
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'20), pp.13726-13735, 2020. (CCF A, *通讯作者)

Lei Feng, Jun Huang, Senlin Shu, Bo An.
Regularized Matrix Factorization for Multi-Label Learning with Missing Labels.
IEEE Transactions on Cybernetics (IEEE-TCYB), DOI: 10.1109/TCYB.2020.3016897. (IF=11.079, 中科院一区)

Yan Yan, Shining Li, Lei Feng*.
Partial Multi-Label Learning with Mutual Teaching.
Knowledge-Based Systems (KBS), DOI: 10.1016/j.knosys.2020.106624. (IF=5.921, 中科院一区, *通讯作者)

Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An.
Embedding-Augmented Generalized Matrix Factorization for Recommendation with Implicit Feedback.
IEEE Intelligent Systems (IEEE-IS), DOI: 10.1109/MIS.2020.3036136. (IF=3.21, 中科院三区)

Lei Feng, Bo An.
Partial Label Learning with Self-Guided Retraining.
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), pp.3542-3549, 2019. (CCF A)

Lei Feng, Bo An, Shuo He.
Collaboration based Multi-Label Learning.
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), pp.3550-3557, 2019. (CCF A)

Lei Feng, Bo An.
Partial Label Learning by Semantic Difference Maximization.
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), pp.2294-2300, 2019. (CCF A)

Lei Feng, Bo An.
Leveraging Latent Label Distributions for Partial Label Learning.
Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp.2107-2113, 2018. (CCF A)

部分预印论文

Zhuoyi Lin, Lei Feng*, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu.
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.

Hongxin Wei, Lei Feng*, Rundong Wang, Bo An.
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting.

Zhuoyi Lin, Lei Feng*, Rui Yin, Chi Xu, Chee Keong Kwoh.
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems.

Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng*, Bo An, Gang Niu, Guodong Long.
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.

Lue Tao, Lei Feng, Jinfeng Yi, Shengjun Huang, Songcan Chen.
Provable Defense Against Delusive Poisoning.

Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan.
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning.

Senlin Shu, Fengmao Lv, Lei Feng, Yan Yan, Shuo He, Jun He, Li Li.
Incorporating Multiple Cluster Centers for Multi-Label Learning.

4 学术服务

Ø 会议专家审稿人expert reviewer):ICML 2021

Ø 会议高级程序委员会委员SPC):IJCAI 2021

Ø 会议程序委员会委员/审稿人PC/reviewer):NeurIPS 2020-2021CVPR 2021KDD 2021ICCV 2021ICLR 2020AAAI 2020-2021

Ø 期刊审稿人JMLRMLJIEEE-TPAMIIEEE-TIPIEEE-TNNLSIEEE-TMMIEEE-ISKAISKBSAPIN