Contact Information
605 E. Springfield Ave
Champaign, IL 61820
M/C 374
Biography
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.
Research Interests
High-dimensional and nonparametric statistics
Time series analysis
Machine learning and signal processing
Education
PhD, Electrical and Computer Engineering, University of British Columbia, 2013
External Links
Honors & Awards
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)
Recent Publications
Chang, J., Chen, X., & Wu, M. (2024). Central limit theorems for high dimensional dependent data. Bernoulli, 30(1), 712-742. https://doi.org/10.3150/23-BEJ1614
Zhuang, Y., Chen, X., Yang, Y., & Zhang, R. Y. (2024). STATISTICALLY OPTIMAL K-MEANS CLUSTERING VIA NONNEGATIVE LOW-RANK SEMIDEFINITE PROGRAMMING. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria.
Song, Y., Chen, X., & Kato, K. (2023). Stratified incomplete local simplex tests for curvature of nonparametric multiple regression. Bernoulli, 29(1), 323-349. https://doi.org/10.3150/22-BEJ1459
Zhuang, Y., Chen, X., & Yang, Y. (2023). Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data. Proceedings of Machine Learning Research, 202, 43326-43346.
Park, Y., Chen, X., & Simpson, D. G. (2022). ROBUST INFERENCE FOR PARTIALLY OBSERVED FUNCTIONAL RESPONSE DATA. Statistica Sinica, 32(4), 2265-2293. https://doi.org/10.5705/ss.202020.0358
