He is currently a 2nd-year PhD student of AIM Lab at National Engineering Research Center for Multimedia Software(国家多媒体软件工程技术研究中心) and Wuhan University (武汉大学), advised by Prof. Zheng Wang. He is currently a visiting Ph.D. supervised by Basura Fernando in Agency for Science, Technology and Research (A*STAR) Singapore. He received his Master’s and Bachelor’s degrees from Wuhan University of Technology, School of Computer Science and Artificial Intelligence, under the supervision of Prof. Xian Zhong.

His research interests include causal inference, computer vision, and retrieval. He has published over 10 papers at the top international conferences and journals () such as CVPR, ACM MM. He has also served as a reviewer of multiple conferences and journals, including CVPR, IJCAI, ICANN, ACM MM, TIP, TMM, and JEI.

If you are seeking any form of academic cooperation on person reidentification, cross-modality retrieval, please feel free to email at yzw_aim@whu.edu.cn.

🔥 News

  • 2024.07:  🎉🎉 One co-authored paper is accepted by ECCV 2024!
  • 2024.04:  🎉🎉 One co-authored paper is accepted by IJCAI 2024!
  • 2023.11:  🎉🎉 He begins his visting at A*STAR in Singapore!
  • 2023.07:  🎉🎉 Two co-authored papers are accepted by ACM MM 2023!
  • 2023.05:  🎉🎉 One paper is accepted by TIP!
  • 2022.04:  🎉🎉 One co-authored paper is accepted by TITS!
  • 2023.03:  🎉🎉 One paper is accepted by CVPR 2023!
  • 2022.06:  🎉🎉 One co-authored paper is accepted by ACM MM 2022!
  • 2022.03:  🎉🎉 One paper is accepted by ICME 2022!
  • 2021.03:  🎉🎉 One paper is accepted by ICME 2021!

📝 Publications

CVPR 2023
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Good is Bad: Causality Inspired Cloth-debiasing for Cloth-changing Person Re-identification

Zhengwei Yang, Meng Lin, Xian Zhong, Yu Wu, Zheng Wang

Code

  • The first work introduces casality to cloth-changing person ReID, and proposes a causality-based Auto-Intervention Model (AIM) to mitigate clothing bias for robust cloth-changing person ReID.
TIP 2023
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Win-Win by Competition: Auxiliary-Free Cloth-Changing Person Re-Identification

Zhengwei Yang, Xian Zhong, Zhun Zhong, Hong Liu, Zheng Wang, Shin’Ichi Satoh

Code

  • This paper introduces an Auxiliary-free Competitive IDentification (ACID) model. It achieves a win-win situation by enriching the identity-preserving information conveyed by the appearance and structure features while maintaining holistic efficiency.

🎖 Honors and Awards

  • 2023.10 He won a national scholarship at Wuhan University
  • 2022.09 He was awarded the Outstanding Graduate Student and Outstanding Master’s Thesis of Wuhan University of Technology

📖 Educations

  • 2022.09 - 2024.04 (now), Doctoral, Wuhan University, Wuhan.
  • 2019.09 - 2022.06, Master, Wuhan University of Technology, Wuhan.
  • 2015.09 - 2029.06, Bachelor, Wuhan University of Technology, Wuhan.

💻 Internshipss

  • 2023.11 - 2024.11, Visiting Ph.D., Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Singapore