About Me

Hi there! I’m Jianhong Bai. I am a 4th-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 main research interests lie in controllable video generation and video editing. I have also explored self-supervised learning, long-tail learning, and model compression in my previous work.

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. "ReCamMaster: Camera-Controlled Generative Rendering from A Single Video". Preprint 2025. Arxiv Code Project page
	Jianhong Bai, Menghan Xia, Xintao Wang et al. "SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints". In ICLR 2025. Arxiv Code 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 Code Project page
	Yuchi Wang, Junliang Guo, Jianhong Bai et al. "InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation". In AAAI 2024. Arxiv Project page

Jianhong Bai, Zuozhu Liu, Hualiang Wang et al. "Towards Distribution-Agnostic Generalized Category Discovery". In NeurIPS 2023. Arxiv Code

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 Code

Jianhong Bai, Yuchen Yang, Huanpeng Chu et al. "Robustness-Guided Image Synthesis for Data-Free Quantization". In AAAI 2024. Arxiv

Lianrui Mu*, Jianhong Bai*, Xiaoxuan He et al. "TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing". Preprint. Arxiv