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Xiaohui Chen

Associate Professor
Department of Mathematics
University of Southern California

Program Director
Master's Program in Mathematical Data Science
University of Southern California

Office: Kaprielian Hall (KAP) 406B
Address: 3620 S. Vermont Ave., Los Angeles, CA 90089 USA
Lab website: Machine Intelligence Research Lab (MIRL)


I am broadly interested in the mathematics of data science and artificial intelligence. My research work has been centered around high-dimensional statistics, machine learning and optimal transport.

selected publications

  1. Wasserstein proximal coordinate gradient algorithms
    Rentian YaoXiaohui Chen, and Yun Yang
    Journal of Machine Learning Research May 2024
  2. Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
    Yubo ZhuangXiaohui ChenYun Yang, and Richard Y. Zhang
    In International Conference on Learning Representations (ICLR) May 2024
    Oral Presentation [One of 85/7262 submissions. Top 1.2%]
  3. Cutoff for Exact Recovery of Gaussian Mixture Models
    Xiaohui Chen, and Yun Yang
    IEEE Transactions on Information Theory Jun 2021
  4. Diffusion K-means clustering on manifolds: Provable exact recovery via semidefinite relaxations
    Xiaohui Chen, and Yun Yang
    Applied and Computational Harmonic Analysis May 2021
  5. Finite sample change point inference and identification for high-dimensional mean vectors
    Mengjia Yu, and Xiaohui Chen
    Journal of the Royal Statistical Society: Series B (Statistical Methodology) Apr 2021
  6. Jackknife multiplier bootstrap: finite sample approximations to the U-process supremum with applications
    Xiaohui Chen, and Kengo Kato
    Probability Theory and Related Fields Jul 2020
  7. Randomized incomplete U-statistics in high dimensions
    Xiaohui Chen, and Kengo Kato
    The Annals of Statistics Jul 2019
  8. Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications
    Xiaohui Chen
    The Annals of Statistics Jul 2018