Xunpeng Huang

Ph.D. student of HKUST

I am a third-year Ph.D. student at HKUST, co-advised by Prof. Tong Zhang and Prof. Yang Xiang. I am furtunate work closely with Prof. Yi-an Ma (University of California San Diego) and Prof. Difan Zou (The University of Hong Kong). Before that, I got my M.sc. degree in School of Computer Science and Technology from University of Science and Technology of China supervised by Prof. Enhong Chen. Besides, I used to work at Bytedance AI Lab under Prof. Lei Li’s supervision. My current research interests are machine learning algorithms and theory including sampling algorithms, stochastic/nonconvex optimization and mean-field analysis.


Sep 1, 2021 I joined Statml group in HKUST.

selected publications

  1. COLT
    Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
    Huang, Xunpeng, Zou, Difan, Dong, Hanze, Ma, Yian, and Zhang, Tong
    In Conference on Learning Theory (COLT) 2024
  2. ICML
    Faster Sampling via Stochastic Gradient Proximal Sampler
    Huang, Xunpeng, Zou, Difan, Ma, Yian, Dong, Hanze, and Zhang, Tong
    In International Conference on Machine Learning (ICML) 2024
  3. ICLR
    Reverse Diffusion Monte Carlo
    Huang, Xunpeng, Dong, Hanze, HAO, Yifan, Ma, Yian, and Zhang, Tong
    In International Conference on Learning Representations (ICLR) 2024
  4. AAAI
    Span: A stochastic projected approximate newton method
    Huang, Xunpeng, Liang, Xianfeng, Liu, Zhengyang, Li, Lei, Yu, Yue, and Li, Yitan
    In Proceedings of the AAAI Conference on Artificial Intelligence 2020