Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
Professor of Statistics
University of Illinois Urbana-Champaign
Research Interests
Bayesian methods
Decision theory
Information theory
Minimum description length principle
Data mining
Education
Ph.D. Statistics, Yale University, New Haven, CT, 2002
B.A. Mathematics, Peking University, P.R. China, 1997
Awards and Honors
Associate Editor for Bayesian Analysis, 2009 – 2015
Editor for the ISBA Bulletin, 2013 – 2015
Additional Campus Affiliations
Professor, Statistics
Interim Director, Program in Actuarial Science and Risk Management, College of Liberal Arts and Sciences
Professor, Information Trust Institute
Professor, Biomedical and Translational Sciences
External Links
Honors & Awards
Associate Editor for Bayesian Analysis, 2009 – 2015
Editor for the ISBA Bulletin, 2013 – 2015
Recent Publications
Qian, C., Ries, D., Liang, F., & Adams, J. (2025). Regression Recalibration by Learning PIT Map Values. Technometrics. Advance online publication. https://doi.org/10.1080/00401706.2025.2464004
Qian, C., Ganter, T., Michalenko, J., Liang, F., & Adams, J. (2024). Quantifying Epistemic Uncertainty in Binary Classification via Accuracy Gain. Statistical Analysis and Data Mining, 17(5), Article e11709. https://doi.org/10.1002/sam.11709
Zhang, K., Yin, C. H., Liang, F., & Liu, J. (2024). Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions. Proceedings of Machine Learning Research, 235, 60134-60178.
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
Cheng, H. P., Liang, F., Li, M., Cheng, B., Yan, F., Li, H., Chandra, V., & Chen, Y. (2022). ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. Proceedings of Machine Learning Research, 188.