Yasi Zhang

PhD Student@UCLA. Generative AI, Computer Vision, and Multimodality.

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Greetings! I am Yasi Zhang, currently a PhD student in the Department of Statistics and Data Science at UCLA. I’m fortunate to be co-advised by two of the best advisors in the world, Prof. Ying Nian Wu and Prof. Oscar Leong. Previously, I earned my bachelor’s degree in Data Science and Big Data Technology from Fudan University. In summer 2024, I conducted a research internship at Amazon AWS AI Labs.

🌟 I am actively seeking research internships for the summer of 2025. 🌟

News

Oct 11, 2024 Honored to receive the NeurIPS 2024 Scholar Award. See you in Vancouver.
Sep 25, 2024 One paper on flow matching priors for inverse problems was accepted to NeurIPS 2024.
Jul 1, 2024 Two papers on diffusion models were accepted to ECCV 2024. One is on text-to-image alignment in stable diffusion, and the other is on generalization.
Apr 1, 2024 One paper on stable diffusion was accepted to SynData4CV@CVPR 2024.

Selected Publications

  1. arXiv
    Think Twice Before You Act: Improving Inverse Problem Solving With MCMC
    Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, and Ruiqi Gao
    2024
    PDF
  2. arXiv
    Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space
    Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, and Ying Nian Wu
    2024
    PDF
  3. NeurIPS
    Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching
    Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, and Oscar Leong
    In NeurIPS 2024
    PDF
  4. ECCV
    Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
    Yasi Zhang, Peiyu Yu, and Ying Nian Wu
    In ECCV 2024
    PDF
  5. ECCV
    Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation
    Yingshan Chang, Yasi Zhang, Zhiyuan Fang, Yingnian Wu, Yonatan Bisk, and Feng Gao
    In ECCV 2024
    PDF

Education

  • University of California, Los Angeles, 2022.09 - Present
    PhD in Statistics and Data Science
  • Fudan University, 2018.09 - 2022.06
    B.S. in Data Science and Big Data Technology, First-Class Honor

Experience

  • Amazon AWS AI Labs, Applied Scientist Intern, Summer 2024