👋 Hello, I am Chenye Wang.
I am a final-year master’s student at Beijing Normal University, advised by Prof. Yongzhen Huang and Prof. Saihui Hou. I received my bachelor’s degree from Shandong University in June 2023. My research interests lie in computer vision and multimodal learning, with a recent focus on Vision-Language-Action (VLA) models.
🔬 Research Interests
- Human-centered Computer Vision: gait recognition and action recognition in unconstrained surveillance and UAV-view scenarios.
- Multi-modal Representation Learning: vision-language pre-training and cross-modal alignment (image–text), as well as multi-sensor retrieval.
- Label-efficient Learning: semi-supervised, weakly-supervised and self-supervised learning for large-scale vision tasks.
🔥 News
- [Feb. 2026] 🎉 One paper accepted by CVPR 2026.
- [Jan. 2026] 🎉 One paper accepted by ICLR 2026.
- [Nov. 2025] 🎉 One paper accepted by IEEE TIFS.
- [Jan. 2025] 🎉 One paper accepted by AAAI 2025 and selected for oral presentation (Top 4.6%).
- [Jul. 2024] 🎉 One paper accepted by ACM MM 2024.
- [2022–2023] 🎉🎉 Multiple papers on hypergraph modeling and bioinformatics.
📚 Publications
MMGait: Towards Multi-Modal Gait Recognition
Chenye Wang, Qingyuan Cai, Saihui Hou, Aoqi Li, Yongzhen Huang.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition
Chenye Wang, Saihui Hou, Aoqi Li, Qingyuan Cai, Yongzhen Huang.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025. Oral, Top 4.6%
DriverRWH: Discovering Cancer Driver Genes by Random Walk on a Gene Mutation Hypergraph
Chenye Wang, Junhan Shi, Jiansheng Cai, Yusen Zhang, Xiaoqi Zheng, Naiqian Zhang.
BMC Bioinformatics, 2022.
GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences
Saihui Hou*, Chenye Wang, Wenpeng Lang, Zhengxiang Lan, Yongzhen Huang. *Mentor
International Conference on Learning Representations (ICLR), 2026.
GaitAsset: In Defense of Regarding Gait As a Set
Saihui Hou*, Chenye Wang, Aoqi Li, Jilong Wang, Liang Wang, Yongzhen Huang. *Mentor
IEEE Transactions on Information Forensics and Security (TIFS), 2025.
AerialGait: Bridging Aerial and Ground Views for Gait Recognition
Aoqi Li, Saihui Hou, Chenye Wang, Qingyuan Cai, Yongzhen Huang
Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024.
Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2023
Shiqi Yu, Chenye Wang et al.
IEEE International Joint Conference on Biometrics (IJCB), 2023.
Contrmix: Progressive Mixed Contrastive Learning for Semi-Supervised Medical Image Segmentation
Meisheng Zhang, Chenye Wang, Wenxuan Zou, Xingqun Qi, Muyi Sun, Wanting Zhou.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.
A Novel Hypergraph Model for Identifying and Prioritizing Personalized Drivers in Cancer
Naiqian Zhang, Fubin Ma, Dong Guo, Yuxuan Pang, Chenye Wang, Yusen Zhang, Xiaoqi Zheng, Mingyi Wang.
PLOS Computational Biology, 2024.
🏅 Honors & Awards
- Xiaomi Scholarship, Dec 2025
- Huawei Scholarship, May 2025
- Outstanding Graduate, Shandong University, May 2023
- 1st Place, The 4th International Competition on Human Identification at a Distance, Apr 2023
🤝 Services
Academic Services
- Reviewer for IEEE TIFS, PRCV, ICIG
University Service
- Excellent Teaching Assistant for Machine Learning (Beijing Normal University, 2024)