Tong Wei's homepage

Tong Wei (魏通)

Associate Researcher (中文简介)
School of Computer Science and Engineering
Southeast University

I am in the PALM group.

Email: weit {AT} seu.edu.cn

Education

Ph. D., 2021.12, in Department of Computer Science and Technology, Nanjing University, China; Advisor: Prof. Yu-Feng Li.
B.S., 2016.06, in Department of Computer Science and Technology, Soochow University, China

Services

SPC	IJCAI 2021; ACML 2021, 2022
PC	AAAI 2019, 2020, 2021, 2023; IJCAI 2019, 2020, 2022; NeurIPS 2020, 2021, 2022, 2023; ICML 2020, 2021, 2022, 2023; ICLR 2020, 2021, 2022, 2023
Journal Reviewer	TKDE, TKDD, Artifical Intelligence, SCIENCE CHINA Information Sciences

Publications

Most of my papers are available for download in this Publications page.

Students

Name	Starting	Graduated	Program	First job/Currently	Comment
Kai Kang（康凯）	2021.09	in progress	Ms.C.	-	co-advised with Prof. M.-L. Zhang
Zuo-Zheng Wang（王佐正）	2021.09	in progress	Ms.C.	-	co-advised with Prof. M.-L. Zhang
Hao-Tian Li（李浩天）	2022.09	in progress	Ms.C.	-	co-advised with Prof. M.-L. Zhang
Zhen Mao（毛振）	2022.09	in progress	Ms.C.	-	co-advised with Prof. M.-L. Zhang
Bo-Lin Wang（王博林）	2022.09	in progress	Ms.C.	-	co-advised with Prof. M.-L. Zhang
Li-Peng Zhang（张力鹏）	2022.09	in progress	Ms.C.	-
Kai Gan（甘凯）	2022.09	in progress	Ms.C.	-
Kuang He（何况）	2022.09	in progress	Ms.C.	-	co-advised with Prof. M.-L. Zhang

Research

I am mainly interested in machine learning (ML) and data mining (DM), especially when the data resources (size and distribution of training set, quality of labels and annotations, etc.) are limited. Deep learning (DL) with weak supervison is my current focus.

Learning with partial, incomplete, noisy, and weak labels

Learning with label noise: Papers [C7], [C11]
Semi-supervised learning: Papers [C2], [J1], [C10]
Positive and unlabeled learning: Papers [J3], [W1]
Partial label learning: Papers [C9]

Dealing with imbalanced & long-tailed data distribution

Long-tailed recognition: Papers [C8], [W2], [J4], [C10]
Extreme multi-label learning: Papers [C1], [C3], [C4], [C5], [J2]

Streaming multi-label learning

Scalable SMLL: Papers [C6]

Teaching

course page

Pages last modified since: May. 26, 2023.