Min Zhao（赵敏）

Postdoctoral Researcher
Department of CST, Tsinghua University
Email:  gracezhao1997@gmail.com

[Google Scholar] [Github]

TSAIL Group
[TSAIL Github] [TSAIL Homepage]

I am a postdoctoral researcher at the TSAIL Group in the Department of Computer Science and Technology, Tsinghua University, working under the supervision of Prof. Jun Zhu. Before that, I received my Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2024. From 2022 to 2024, I was a visiting student at the TSAIL Group, Tsinghua University, where I worked closely with Prof. Jun Zhu, Prof. Chongxuan Li, and Dr. Fan Bao.

My current research interests focus on video world models. I developed Causal Forcing, which enables autoregressive diffusion distillation to be performed properly. I am open to academic and industrial collaborations on real-time, physics-aware video world models. Please feel free to reach out for research synergy or potential applications.

Previously, I was a core contributor to Vidu, one of the first large-scale text-to-video foundation models comparable to Sora. In addition, I led a series of works on diffusion transformer length extrapolation, including RIFLEx, UltraViCo, and UltraImage, which can be applied to mainstream diffusion transformers such as CogVideoX, HunyuanVideo, Wan, Flux, and Qwen-Image.

Selected Publications Full Publications

    Video World Models
  • Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
    Hongzhou Zhu*, Min Zhao*, Guande He, Chongxuan Li, Jun Zhu
    Preprint, 2026
    [Paper] [Code] [Website]
  • Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
    Fan Bao, Chendong Xiang*, Gang Yue*, Guande He*, Hongzhou Zhu*, Kaiwen Zheng*, Min Zhao*, Shilong Liu*, Jun Zhu
    Preprint, 2024
    the first large-scale text-to-video foundation models comparable to Sora
    [Tech Report] [Try Vidu]
    • Long Video and High-Resolution Image Generation
  • RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
    Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu
    International Conference on Machine Learning (ICML), 2025
    [Paper] [Code] [Website]
  • UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers
    Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu
    International Conference on Learning Representations (ICLR), 2026
    [Paper] [Code] [Website]
  • UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers
    Min Zhao, Bokai Yan, Xue Yang, Hongzhou Zhu, Jintao Zhang, Shilong Liu, Chongxuan Li, Jun Zhu
    Preprint, 2026
    [Paper] [Code] [Website]
    • Controllable generation
  • EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
    Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
    Advances in Neural Information Processing Systems (NeurIPS), 2022
    [Paper] [Code] [Talk]
  • Identifying and Solving Conditional Image Leakage in Image-to-Video Generation
    Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu
    Advances in Neural Information Processing Systems (NeurIPS), 2024
    [Paper] [Code] [Website]
  • Controlvideo: Adding conditional control for one shot text-to-video editing
    Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
    Science China Information Sciences, 2024
    [Paper] [Code] [Website] [Zhihu]

Mentored Students

  • Hongzhou Zhu (Incoming PhD Student at Tsinghua University, with Prof. Jun Zhu)
  • Bokai Yan (PhD Student at Renmin University of China, with Prof. Chongxuan Li)
  • Xue Yang (Incoming PhD Student at Peking University, with Prof. Siwei Ma)
  • Yu Huang (Incoming PhD Student at Tsinghua University, with Prof. Yinpeng Dong)
  • Jiaming Wu (Undergraduate Student at Tsinghua University, with Prof. Yinpeng Dong)
  • Yingze Wang (Undergraduate Student at Tsinghua University, with Prof. Jun Zhu)
  • Yixiao Chen (Undergraduate Student at Tsinghua University, with Prof. Jun Zhu)

Selected Awards

  • Tsinghua University, Shuimu Tsinghua Scholar, 2024
  • IEEE International Symposium on Biomedical Imaging (ISBI), Best Student Paper Nomination, 2024