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Yun Yang

Profile picture for Yun Yang

Contact Information

141 Computing Applications Building
605 E Springfield Ave,
Champaign, IL 61820

Adjunct Associate Professor

Biography

2022 -- present: Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign.

2018 -- 2022: Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign.

2016 -- 2018: Assistant Professor, Department of Statistics, Florida State University.

2014 -- 2016: Postdoctoral Researcher, Department of EECS, University of California, Berkeley.

Research Interests

Bayesian inference;  high-dimensional statistics;  machine learning;  non-parametric statistics; statistical learning theory; optimization.

Education

PhD, Statistics, Duke University, 2014.

BS, Mathematics, Tsinghua University, 2011.

Additional Campus Affiliations

Adjunct Associate Professor, Statistics

Recent Publications

Zhao, W., Xu, Z., Mu, Y., Yang, Y., & Wu, W. (2024). Model-based statistical depth with applications to functional data. Journal of Nonparametric Statistics, 36(2), 313-356. https://doi.org/10.1080/10485252.2023.2226262

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.

Chen, Y., Yao, R., Yang, Y., & Chen, J. (2023). A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening. Proceedings of Machine Learning Research, 202, 4804-4825.

Chen, Y., He, S., Yang, Y., & Liang, F. (2023). Learning Topic Models: Identifiability and Finite-Sample Analysis. Journal of the American Statistical Association, 118(544), 2860-2875. https://doi.org/10.1080/01621459.2022.2089574

Tang, R., & Yang, Y. (2023). Minimax Nonparametric Two-Sample Test under Adversarial Losses. Proceedings of Machine Learning Research, 206, 6132-6165.

View all publications on Illinois Experts