Hi! I am a first year PhD student at Imperial College London, advised by Tolga Birda and Gerard Pons-Moll. Previously, I received my Bachelor’s degree in Computer Science & Mathematics from the Hong Kong University of Science and Technology (HKUST).

My research interest lies in 3D Computer Vision and Graphics, with a specific interest in leveraging machine learning techniques to comprehend dynamic information in the physical world. My research goal is to enable machine to understand the dynamic world around us.

Feel free to reach out for potential collaborations or discussions!

Education

• PhD in Computing, Imperial College London (Ongoing)
• BSc in Computer Science & Mathematics, Hong Kong University of Science and Technology, 2025
• Exchange (Computer Science), National University of Singapore, 2024 Spring
• Summer Research intern(Computer Science), Stanford University

Publication

(*: equal contribution, †: equal advising)

[SIGGRAPH 2025]Anymate: A Dataset and Baselines for Learning 3D Object Rigging

Yuhao Zhang*, Yufan Deng*, Chen Geng, Shangzhe Wu†, Jiajun Wu†
[Page] [Paper] [Code] [Demo]

[ECCV 2024] DragVideo: Interactive Drag-style Video Editing

Yufan Deng*, Ruida Wang*, Yuhao Zhang*, Yu-Wing Tai†, Chi-Keung Tang†
[Page] [Paper] [Code]
Selected to Hugging Face daily paper

Academic Activities

• Heidelberg Laureate Forum, Heidelberg, Germany, Sep 2024
• European Conference on Computer Vision (ECCV), Milano, October 2024