| CARVIEW |
Prof. Kaiyang Zhou is an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. His research interests include machine learning, computer vision, and multimodality. His research has been published in leading conference venues, including CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, and AAAI, as well as in top journals like IEEE TPAMI, IEEE TIP, and IJCV. His work has been cited over 18,000 times. He is currently an associate editor for the International Journal of Computer Vision and regularly serves as an area chair for prestigious conferences such as CVPR, ECCV, NeurIPS, ICML, and ICLR. Before joining HKBU, he was a postdoc at Nanyang Technological University, Singapore, working with Prof. Ziwei Liu and Prof. Chen Change Loy. He received his PhD in Computer Science from the University of Surrey, UK, under the supervision of Prof. Tao Xiang.
News
- Dec 2025 Invited to serve as area chair of ECCV 2026.
- Nov 2025 Invited to serve as area chair of ICML 2026.
- Sep 2025 Our edited book Large Vision-Language Models is online.
- Aug 2025 Invited to serve as area chair of ICLR 2026.
- Aug 2025 Invited to serve as area chair of CVPR 2026.
- Jul 2025 Invited to serve as area chair of AAAI 2026.
Research
My research lies at the intersection of machine learning and computer vision. I am particularly interested in developing ML algorithms that can learn effectively from limited supervision, generalize across domains, and understand and interact with the real world through multiple modalities. My goal is to build AI systems that can see, reason, and act safely and reliably in the unpredictable physical world.
Current Research Focuses
Reasoning
Developing models that can perform complex reasoning across visual and textual modalities.
Grounding
Connecting language understanding with visual perception for accurate spatial and semantic grounding.
Safety
Ensuring AI systems are robust, trustworthy, and aligned with human values.
Efficiency
Building computationally efficient models that maintain high performance with reduced resources.
Team
PhD Students
- Jiaer Xia (2024 - Present)
- Sifeng Shang (2024 - Present)
- Jiayi Zhou (2025 - Present)
- Chenyu Lin (2025 - Present)
Research Assistants
- Linchao Pan (2025 - Present)
- Haichen He (2025 - Present)
Alumni
- Tong Yu (RA 2025)
- Bingkui Tong (RA 2024-25, now PhD at MBZUAI)
Teaching
Services
- Associate Editor, International Journal of Computer Vision (IJCV) (2023 - Present)
- Guest Editor, IJCV Special Issue on Visual Domain Generalization in Real-World Applications (2024)
- Guest Editor, IJCV Special Issue on The Promises and Dangers of Large Vision Models (2023)
- Area Chair, International Conference on Machine Learning (ICML) (2025, 2026)
- Area Chair, International Conference on Learning Representations (ICLR) (2025, 2026)
- Area Chair, Neural Information Processing Systems (NeurIPS) (2024, 2025)
- Area Chair, Computer Vision and Pattern Recognition (CVPR) (2024, 2026)
- Area Chair, European Conference on Computer Vision (ECCV) (2024, 2026)
- Area Chair, AAAI Conference on Artificial Intelligence (AAAI) (2023 - 2026)
- Area Chair, British Machine Vision Conference (BMVC) (2022, 2024)
- Organizer, CVPR 2025 Workshop on Domain Generalization
- Organizer, ECCV 2024 Workshop on Green Foundation Models
- Organizer, CVPR 2024 Workshop on Prompting in Vision
- Organizer, CVPR 2023 Tutorial on Prompting in Vision
- Organizer, ICLR 2023 Workshop on What Do We Need for Successful Domain Generalization
- Organizer, The AI Talks