725 S. Wright St.
Champaign, IL 61820
2019-Present: Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign.
2019-2020: Visiting Faculty, Institute for Data, Systems, and Society (IDSS), Massachusetts Institute of Technology.
2013-2019: Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign.
High-dimensional and nonparametric statistics
Time series analysis
Machine learning and signal processing
PhD, Electrical and Computer Engineering, University of British Columbia, 2013
Awards and Honors
Simons Fellowship in Mathematics (2020-2021)
Associate, Center for Advanced Study, UIUC (2020-2021)
ICSA Outstanding Young Researcher Award (2019)
NSF CAREER Award (2018)
Arnold O. Beckman Award, University of Illinois (2018)
Chen, X., & Yang, Y. (Accepted/In press). Diffusion K-means clustering on manifolds: Provable exact recovery via semidefinite relaxations. Applied and Computational Harmonic Analysis. https://doi.org/10.1016/j.acha.2020.03.002
Chen, X., & Kato, K. (2020). Jackknife multiplier bootstrap: finite sample approximations to the U-process supremum with applications. Probability Theory and Related Fields, 176(3-4), 1097-1163. https://doi.org/10.1007/s00440-019-00936-y
Chen, X., & Qiu, Z. (2020). Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions. Covid Economics, Vetted and Real-Time Papers, (7), 46-67. https://arxiv.org/abs/2004.04529
Chen, X., & Kato, K. (2019). Randomized incomplete u-statistics in high dimensions. Annals of Statistics, 47(6), 3127-3156. https://doi.org/10.1214/18-AOS1775
Song, Y., Chen, X., & Kato, K. (2019). Approximating high-dimensional infinite-order U-statistics: Statistical and computational guarantees. Electronic Journal of Statistics, 13(2), 4794-4848. https://doi.org/10.1214/19-EJS1643