About Me

Hi, I am Yifeng Yu.

I am currently a PhD student in Department of Mathematical Science at Tsinghua University and a Research Associate in Data Science at City University of HongKong. My research interest lies at the intersection of Statistical Sampling and Generative AI .

Specifically, I am fascinated by the theoretical foundations of Score-based Diffusion Models . My goal is to improve the convergence speed and sampling quality of these models through advanced mathematical tools.

Recently, I have been working on the Wasserstein convergence analysis of score-based models, and I am excited to present our latest work at NeurIPS 2025 .

Beyond theory, I have extensive experience in Quantitative Finance , applying Deep Learning models (like Transformers and GANs) to decrypt financial market dynamics during my internships at top-tier hedge funds.

News

• [Dec 2025] I attended NeurIPS 2025 at San Diego!
• [Sep 2025] I joined City University of Hong Kong as a Research Associate, my supervisor is Prof. Lu Yu.