Xunpeng Huang

Ph.D. student of The Hong Kong University of Science and Technology

I am a first-year Ph.D. student at HKUST, advised by Prof. Tong Zhang. Before that, I finished my B.sc. degree in School of Mathematics and Computer Science from Fuzhou University. 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 include stochastic/nonconvex optimization and deep learning theory.

news

Sep 1, 2021 I joined Statml group in HKUST.

selected publications

  1. IJCAI
    Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
    Huang, Xunpeng, Wu, Le, Chen, Enhong, Zhu, Hengshu, Liu, Qi, and Wang, Yijun
    In IJCAI 2017
  2. 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
  3. AAAI
    ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
    Huang, Xunpeng, Xu, Runxin, Zhou, Hao, Wang, Zhe, Liu, Zhengyang, and Li, Lei
    In Proceedings of the AAAI Conference on Artificial Intelligence 2021