Mang Ye

Professor
School of Computer Science
Wuhan University

[Bio] [Google Scholar][DBLP][GitHub]
Room E503, School of Computer Science, Wuhan University
Email: yemang AT whu.edu.cn, mangye16 AT gmail.com

Welcome to the Multimedia Analysis and ReaSoning (MARS) Group at the Wuhan University, led by Prof. Mang Ye.

Our research interests include open-world visual learning and its applications in multimedia analysis and reasoning.

[ Open Positions (24硕博招生、博后招聘、本科实习生) ] [ 本科生入组流程 ]

Looking for self-motivated Ph.D/M.S./Undergraduate students. [24级入学的硕士博士还有名额,2024年3月更新]
Looking for PostDocs in computer vision. [重点资助博后]


News

[09/2024]

Four papers on Visible-Infrared ReID, Federated Learning, and Continual Learning are accepted at NeurIPS 2024, including contributions from a 2nd-year and a 3rd-year undergraduate.

[08/2024]

Prof. Ye is invited to serve as ICLR 2025 and CVPR 2025 Area Chair.

[07/2024]

Two papers on Cloth-Changing ReID and Graph Learning are accepted by ACM MM 2024.

[07/2024]

Three papers on Multi-Modal Intention Understanding, Widelife ReID and Federated Learning are accepted by ECCV 2024, including contributions from a 2rd-year undergraduate.

[05/2024]

Prof. Ye is invited to serve as the Associate Editor for IEEE TIFS journal (CCF-A).

[02/2024]

Five papers on Federated Learning and Multi-Modal Learning accepted by CVPR 2024, including contributions from two 3rd-year undergraduates.

[01/2024]

Prof. Ye is invited to serve as ECCV 2024 and ACM MM 2024 Area Chair.

[12/2023]

Four papers on Person Generation, Federated Learning and Multi-modal Learning accepted by AAAI 2024.

[11/2023]

Three papers on Federated Learning, Visible-Infrared ReID, Sketch ReID accepted by IEEE TPAMI.

[08/2023]

A survey on Hetergeneous Federated Learning is accepted by ACM Computing Surveys. [arXiv]

[08/2023]

Prof. Ye is invited to serve as CVPR 2024 Area Chair.

[07/2023]

Three papers on Unsupervised VI-ReID, Continual Learning, Federated Learning accepted by ICCV 2023.

[02/2023]

Four papers on Federated Learning and Multi-modaltiy ReID accepted by CVPR 2023.

[10/2022]

Congratulations to He Li (李贺、博士生), Xiuwen Fang (方修文、硕士生), Junwu Zhang (张俊武、本科生), Jiaming Zhang (张家铭、本科生), Zhangyi Hu (胡张艺、本科生), for the National Scholarships.

[12/2021]

Two papers accepted by IEEE TIP 2021 and one paper accepted by IEEE TIFS 2021.

[07/2021]

Two papers accepted by ICCV 2021 and two papers accepted by ACM MM 2021.

[08/2020]

We have released the code of dual-attentive cross-modality Re-ID in ECCV 2020. Code

[07/2020]

The extended version of our CVPR19 paper on unsupervised embedding has been accepted by TPAMI. [Code]

[01/2020]

A survey on deep person re-identification with a powerful AGW baseline. [ArXiv] [Code].

[04/2019]

We have released the code of unsupervised embedding learning in CVPR 2019. [Code].


Biography

2019-2020, Research Scientist, Inception Institute of Artificial Intelligence, Abu Dhabi, UAE.

2016-2019, Ph.D student, Hong Kong Baptist University, supervised by Prof. Pong C. Yuen.

2018.07-2018.12, Visiting scholar at Columbia University, working with Prof. Shih-Fu Chang.

2013-2016, MSc, NERCMS, Wuhan University, working with Dr. Chao Liang and Prof. Ruimin Hu .

2009-2013,B.E., Electronic Information Science and Technology, Wuhan University, China.


Awards

2021, Winner of Person Re-Identification Track in ICCV 2021 MMVRAC Challenge

2021, Young Elite Scientist Sponsorship Program by CAST

2019, Yakun Scholarship Scheme for Mainland Postgraduate Team

2019, Excellent Teaching Assistant Performance Award

2016-2018, Computer Science Department RPg Performance Award

2016-2019, Hong Kong PhD Fellowship

2016, Academic Breakthrough Prize awarded by NERCMS

2015, National Scholarship

2015, Google Excellence Scholarship

2014, National Scholarship


Copyright 2021 Multimedia Analysis & Reasoning Lab