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 and cooperates with Prof. SHOU, Zheng Mike in National University of Singapore (新加坡国立大学). 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 (
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
- 2024.04: 🎉🎉 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
Good is Bad: Causality Inspired Cloth-debiasing for Cloth-changing Person Re-identification
Zhengwei Yang, Meng Lin, Xian Zhong, Yu Wu, Zheng Wang
- 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.
Win-Win by Competition: Auxiliary-Free Cloth-Changing Person Re-Identification
Zhengwei Yang, Xian Zhong, Zhun Zhong, Hong Liu, Zheng Wang, Shin’Ichi Satoh
- 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.
- Expressiveness is Effectiveness: Self-supervised Fashion-aware CLIP for Video-to-Shop Retrieval, Likai Tian*, Zhengwei Yang*, Zechao Hu, Li Hao, Yifang Yin, Zheng Wang, IJCAI 2024
- Striking a balance: Unsupervised cross-domain crowd counting via knowledge diffusion, Haiyang Xie*, Zhengwei Yang*, Huilin Zhu, Zheng Wang, ACM MM 2023
- DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting, Huilin Zhu, Jingling Yuan, Xian Zhong, Zhengwei Yang, Zheng Wang, Shengfeng He, ACM MM 2023
- Visual Exposes You: Pedestrian Trajectory Prediction Meets Visual Intention, Xian Zhong*, Xu Yan, Zhengwei Yang*, Wenxin Huang, Kui Jiang, Ryan Wen Liu, Zheng Wang, TITS 2023
- Fine-Grained Fragment Diffusion for Cross Domain Crowd Counting, Huilin Zhu, Jingling Yuan, Zhengwei Yang*, Xian Zhong*, Zheng Wang, ACM MM 2022
- Attentive decoupling network for cloth-changing re-identification, Zhengwei Yang, Xian Zhong, Hong Liu, Zhun Zhong, Zheng Wang, ICME 2022
- Auxiliary bi-level graph representation for cross-modal image-text retrieval, Xian Zhong*, Zhengwei Yang*, Mang Ye, Wenxin Huang, Jingling Yuan, Chia-Wen Lin, ICME 2021
🎖 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