Chang Zou

Ph.D. Student @SAI, Shanghai Jiao Tong University

daily-photo2.jpg

Email: shenyizou@gmail.com

Wechat: TBCXzc

ICLR,ICCV,CVPR,MM

Current: Shenzhen,Guangdong

Hometown: Chengdu,Sichuan

Google Scholar

About Me

Hi, I’m Chang Zou. I am currently a Ph.D. student at the School of AI (SAI), Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Linfeng Zhang. I graduated from Yingcai Honors College, UESTC.

My research primarily focuses on AIGC. From 2024 to 2025, my work centered on inference acceleration for diffusion models, where I achieved significant milestones in speeding up image and video generation (you may recognize my work through the TaylorSeer project). Since 2025, I have been working on step distillation for diffusion models at Tencent Hunyuan. Since 2026, my research focus has expanded to include representation learning in vision foundation models. I have also been training video VAEs at Tencent Hunyuan. Recently, I have been working on Visual Coding.

I maintain a critical yet open-minded attitude toward academic research and discussions. I am always eager to connect, feel free to reach out! By the way, I am currently seeking internship opportunities in related fields and welcome any inquiries.

Experience

Ph.D. Student | EPIC Lab @ SAI, Shanghai Jiao Tong University 2026 – 2031 (expected)

  • Focusing on next-generation fundamental generative models.

Research Intern (Tencent Project UP) | Foundation Model Team @ Tencent Hunyuan 2025 – Present

  • Focusing on precise and efficient image and video generation.
  • Contributing as a Core Member to projects including HunyuanVideo 1.5.
  • Published the paper DisCa at CVPR 2026 as the first author, focusing on improvements to diffusion model distillation schemes and learnable feature caching acceleration strategies.
  • Researching post-training and representation learning for foundation vision models.
  • Working on representation alignment for production-grade video VAEs.
  • Conducting foundation model research on hyper-computation clusters.

Research Intern | EPIC Lab @ SAI, Shanghai Jiao Tong University 2024 – 2026

Undergraduate | Yingcai Honors College, UESTC 2022 – 2026

  • Major: Mathematics-Physics Fundamental Science (Yingcai Honors Program of UESTC), Direction of Artificial Intelligence.

selected publications

  1. Tech Report
    HunyuanVideo 1.5 Technical Report
    Bing Wu, Chang Zou, Changlin Li, and 78 more authors
    Tencent Hunyuan Foundation Model Team, As Core Contributors, arXiv preprint arXiv:2511.18870, 2025
  2. ICLR
    Accelerating Diffusion Transformers with Token-wise Feature Caching
    Chang Zou*, Xuyang Liu*, Ting Liu, and 2 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  3. ICCV
    From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
    Jiacheng Liu*, Chang Zou*, Yuanhuiyi Lyu, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  4. ACM MM
    SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching
    Jiacheng Liu*, Chang Zou*, Yuanhuiyi Lyu, and 3 more authors
    In Proceedings of the 33rd ACM International Conference on Multimedia, 2025
    DOI
  5. CVPR
    DisCa: Accelerating Video Diffusion Transformers with Distillation-Compatible Learnable Feature Caching
    Chang Zou, Changlin Li, Yang Li, and 7 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    to appear
  6. TIP
    Accelerating Diffusion Transformers with Dual Feature Caching
    Chang Zou*, Shikang Zheng*, Evelyn Zhang, and 5 more authors
    IEEE Transactions on Image Processing, 2026