About Me
Welcome to my website! I’m Jianhong Bai. I am a 3rd-year Ph.D. candidate at Zhejiang University (Hangzhou, China), advised by Prof. Haoji Hu. Before that, I received my B.S. degree from Beijing Institute of Technology.
My research focuses on computer vision, and I have done several works in self-/semi-supervised learning, long-tail learning, open-world learning, and model compression. I am conducting research related to AIGC, especially in generating and editing videos.
Recent News
- 2025/01: 1 paper accepted by ICLR'25.
- 2024/12: 1 paper accepted by AAAI'25.
- 2024/05: Start a research internship at Kuaishou VGI Lab, advised by Prof. Xintao Wang and Prof. Menghan Xia.
- 2023/12: 1 paper accepted by AAAI'24.
- 2023/09: 2 paper accepted by NeurIPS'23.
- 2023/08: Start a research internship at Microsoft Research Asia (MSRA), advised by Prof. Tianyu He and Prof. Xu Tan.
- 2023/01: 1 paper accepted by ICLR'23.
- 2021/09: Join Prof. Hu's lab at Zhejiang University.
Selected Publications
 | Jianhong Bai, Menghan Xia, Xintao Wang et al. "SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints". Preprint 2024.
 Arxiv
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Project page |
 | Jianhong Bai, Tianyu He, Yuchi Wang et al. "UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing". Preprint 2024.
Arxiv
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Project page |
 | Jianhong Bai, Zuozhu Liu, Hualiang Wang et al. "Towards Distribution-Agnostic Generalized Category Discovery". In NeurIPS 2023.
Arxiv
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 | Jianhong Bai, Zuozhu Liu, Hualiang Wang et al. "On The Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning". In ICLR 2023.
Arxiv
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 | Jianhong Bai, Yuchen Yang, Huanpeng Chu et al. "Robustness-Guided Image Synthesis for Data-Free Quantization". In AAAI 2024.
Arxiv
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 | Lianrui Mu*, Jianhong Bai*, Xiaoxuan He et al. "TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing". Preprint.
Arxiv
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