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

🌈 Greetings! I am Yasi Zhang (She/They), 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 will be joining Google Research for a student researcher internship in Spring 2025.
News
Jan 22, 2025 | One paper on lifelong reinforcement learning accepted to AISTATS 2025. |
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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
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Preprint
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation2025 -
Preprint
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees2025 -
AISTATS
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian TheoryIn International Conference on Artificial Intelligence and Statistics 2025 -
NeurIPS
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory MatchingIn Neural Information Processing Systems 2024 -
ECCV
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion ModelsIn European Conference on Computer Vision 2024 -
ECCV
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image GenerationIn European Conference on Computer Vision 2024
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
- Google Research, Student Researcher, Spring 2025
- Amazon AWS AI Labs, Applied Scientist Intern, Summer 2024