Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
Department of Statistics, University of Illinois at Urbana-Champaign
Associate Professor, 2011 – present
Assistant Professor, 2006 – 2011
Senior Researcher, Information Trust Institute, University of Illinois at Urbana-Champaign, 2007 – present
Assistant Professor, Institute of Statistics and Decision Sciences, Duke University, 2002 – 2008
Research Associate, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2003 – 2004
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, Information Trust Institute
External Links
Recent Publications
Yin, W., Zhao, S. D., & Liang, F. (2022). Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models. Lifetime Data Analysis, 28(2), 282-318. https://doi.org/10.1007/s10985-022-09549-5
Cui, N., Hu, J., & Liang, F. (2021). Complementary dimension reduction. Statistical Analysis and Data Mining, 14(1), 31-40. https://doi.org/10.1002/sam.11484
Xu, T., & Liang, F. (2021). Machine learning for hydrologic sciences: An introductory overview. Wiley Interdisciplinary Reviews: Water, 8(5), [e1533]. https://doi.org/10.1002/wat2.1533
Yang, X., Gan, L., Narisetty, N., & Liang, F. (2021). GemBag: Group estimation of multiple bayesian graphical models. Journal of Machine Learning Research, 22.
Chen, Y., Culpepper, S., & Liang, F. (2020). A Sparse Latent Class Model for Cognitive Diagnosis. Psychometrika, 85(1), 121-153. https://doi.org/10.1007/s11336-019-09693-2