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师资队伍
冯磊
时间:2021-03-08    浏览量:次

og游戏官网: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1815

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

og游戏官网:2 个人简介

冯磊,og游戏官网弘深青年学者引进人才,博士毕业于新加坡南洋理工大学(Nanyang Technological University, Singapore)。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), 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, KDD, CVPR, ICCV, AAAI)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IEEE-TPAMI, IEEE-TNNLS, IEEE-TMM)审稿人。

本课题组研究经费充足,欢迎报考硕士、博士研究生

非常欢迎本科生加入课题组参加科研训练,优秀者可推荐至国外名校全奖直博

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)

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og游戏官网:3 学术成果

代表性论文(仅列长文)

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

Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama.
Pointwise Binary Classification with Pairwise Confidence Comparisons.

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.

Hongxin Wei, Renchunzi Xie, Lei Feng*, Bo Han, Bo An.
Deep Learning from Multiple Noisy Annotators as A Union.

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.

Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama.
Learning from Similarity-Confidence Data.

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.

og游戏官网:4 学术服务

会议专家审稿人expert reviewer):ICML 2021

会议高级程序委员会委员SPC):IJCAI 2021

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

期刊审稿人:IEEE-TPAMI、IEEE-TNNLS、IEEE-TMM、IEEE-IS、KAIS、KBS、APIN

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