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About Me

Here is Genpei Zhang (张根培).

I am an incoming Computer Science PhD student at the University of Wisconsin–Madison, starting in Fall 2026. I earned my B.E. in Electronic Information Engineering from the University of Electronic Science and Technology of China (UESTC). Most recently, I was a visiting research assistant in the Xu Lab of the Computational Biology Department at Carnegie Mellon University, advised by Prof. Min Xu. My research centres on generative AI for scientific imaging, multimodal large-language models, and graph representation learning.

Along the way, I have collaborated with Prof. Nuno Vasconcelos at UC San Diego on privacy-aware computer vision, with Prof. Liang Zhao at Emory University on graph neural networks for 3-D structure analysis, and have taken part in research programmes led by Prof. Pavlos Protopapas at Harvard and Dr. Hsiang Hui Lek at the National University of Singapore.

I am always open to discussion and collaboration. Feel free to reach out at genpeizhang2024@gmail.com.


Research Interests

  • Generative AI — diffusion models and their application to scientific imaging
  • AI for Science — cryo-EM / cryo-ET synthesis and analysis
  • Multimodal Large-Language Models (MLLMs)
  • Graph Representation Learning

News and Updates

  • Jun 2026 — Our paper CryoDiff was accepted to the CVPR 2026 SynData4CV Workshop 🎉
  • 2026 — Admitted to the CS PhD program at the University of Wisconsin–Madison, starting Fall 2026 🎓
  • Jul 2025 — Joined Carnegie Mellon University’s Xu Lab as a visiting research assistant, working on generative models for cryo-EM imaging.
  • May 2025 — Our work on privacy-aware computer vision was accepted as a poster at ICML 2025.
  • Jan 2025 — Our work on polyhedral representation learning was accepted as a poster at ICLR 2025.