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shenyi-z/README.md

Hi there 👋

Hi, Chang Zou here! I am currently an undergraduate at Yingcai Honors College, UESTC, where I will receive my B.Sc. in Artificial Intelligence in June 2026. Following my graduation, I will begin my Ph.D. journey in September 2026 at the School of AI, Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Linfeng Zhang.

My research primarily focuses on Precise and Efficient AIGC. From 2024 to 2026, 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 2026, I have expanded my exploration into agentic video generation, world models, and unified native multi-modal LLMs that bridge generation and understanding.

I maintain a critical yet open-minded attitude toward academic research and discussions, feel free to reach out!

BTW，I am currently seeking internship opportunities in related fields and welcome any inquiries.

Anurag's GitHub stats

Personal pages:https://shenyi-z.github.io Google Scholar:Chang Zou

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  1. TaylorSeer TaylorSeer Public

    [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers

    Python 377 22

  2. ToCa ToCa Public

    [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching

    Python 212 9

  3. Cache4Diffusion Cache4Diffusion Public

    Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.

    Python 96 9

  4. DuCa DuCa Public

    (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!

    Python 40 5