Yufeng Liu, PhD
Investigator
Professor of Biostatistics, Professor of Carolina Center for Genome Sciences, Professor of Statistics and Operations Research
yfliu@email.unc.edu
UNC Profile
Phone: (919) 843-1899
University of North Carolina at Chapel Hill

354 Hanes Hall
Chapel Hill, NC 27599-7420

Dr. Liu is Professor of Statistics and Operations Research and Professor of Biostatistics, Carolina Center for Genome Sciences at the University of North Carolina at Chapel Hill. He received is PhD in Statistics from Ohio State University in 2004. Dr. Liu's current research interests include high dimensional data analysis, machine learning, nonparametric statistics, bioinformatics, and cancer genomics.
Journal Article
Joint skeleton estimation of multiple directed acyclic graphs for heterogeneous population., Liu J, Sun W, Liu Y, Biometrics, Volume 75, 2019 Mar, Issue 1, p.36-47. (2019) PubMed
Assessing robustness of classification using angular breakdown point. , Zhao J, Yu G, Liu Y, Ann Stat, Volume 46, 2018 Dec, Issue 6B, p.3362-3389. (2018) PubMed
Estimating individualized treatment rules for ordinal treatments., Chen J, Fu H, He X, Kosorok MR, Liu Y, Biometrics, Volume 74, 2018 Sep, Issue 3, p.924-933. (2018) PubMed
SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data., Liu LYuFeng, Liu Y, Zhu H, Neuroimage, Volume 175, 2018 Jul 15, p.230-245. (2018) PubMed
Robust multicategory support vector machines using difference convex algorithm. , Zhang C, Pham M, Fu S, Liu Y, Math Program, Volume 169, 2018 May, Issue 1, p.277-305. (2018) PubMed
Efficient test-based variable selection for high-dimensional linear models., Gong S, Zhang K, Liu Y, J Multivar Anal, Volume 166, 2018 Jul, p.17-31. (2018) PubMed
Adaptively weighted large margin angle-based classifiers., Fu S, Zhang S, Liu Y, J Multivar Anal, Volume 166, 2018 Jul, p.282-299. (2018) PubMed
Double sparsity kernel learning with automatic variable selection and data extraction., Chen J, Zhang C, Kosorok MR, Liu Y, Stat Interface, Volume 11, 2018, Issue 3, p.401-420. (2018) PubMed
Simultaneous clustering and estimation of heterogeneous graphical models., Hao B, Sun WWei, Liu Y, Cheng G, J Mach Learn Res, Volume 18, 2018 Apr, (2018) PubMed
Statistical significance of hierarchical clustering., Kimes PK, Liu Y, Hayes DNeil, Marron JStephen, Biometrics, Volume 73, 2017 Sep, Issue 3, p.811-821. (2017) PubMed
Adaptive estimation with partially overlapping models., Shin S, Fine J, Liu Y, Stat Sin, Volume 26, 2016 Jan, Issue 1, p.235-253. (2016) PubMed
Reinforced angle-based multicategory support vector machines., Zhang C, Liu Y, Wang J, Zhu H, J Comput Graph Stat, Volume 25, 2016, Issue 3, p.806-825. (2016) PubMed
On quantile regression in reproducing kernel Hilbert spaces with data sparsity constraint., Zhang C, Liu Y, Wu Y, J Mach Learn Res, Volume 17, 2016 Apr, Issue 40, p.1-45. (2016) PubMed
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data., Chen G, Liu Y, Shen D, Kosorok MR, Stat Anal Data Min, Volume 9, 2016 Apr, Issue 2, p.75-88. (2016) PubMed
Comment on ``Bayesian nonparametric estimation for dynamic treatment regimes with sequential transition tmes, by Xu, Y., Muller, P. Wahed, AS and Thall, PF.'', Chen J, Liu Y, Zeng D, Song R, Zhao Y, Kosorok MR, J Am Stat Assoc, Volume 111, 2016, Issue 515, p.942-947. (2016) PubMed
SPReM: Sparse projection regression model for high-dimensional linear regression., Sun Q, Zhu H, Liu Y, Ibrahim JG, J Am Stat Assoc, Volume 110, 2015, Issue 509, p.289-302. (2015) PubMed
Joint estimation of multiple precision matrices with common structures., Lee W, Liu Y, J Mach Learn Res, Volume 16, 2015, p.1035-1062. (2015) PubMed
Statistical significance of clustering using soft thresholding., Huang H, Liu Y, Yuan M, Marron JS, J Comput Graph Stat, Volume 24, 2015, Issue 4, p.975-993. (2015) PubMed
Probability-enhanced sufficient dimension reduction for binary classification., Shin SJun, Wu Y, Zhang HHelen, Liu Y, Biometrics, Volume 70, 2014 Sep, Issue 3, p.546-55. (2014) PubMed
Hypothesis testing for band size detection of high-dimensional banded precision matrices., An B, Guo J, Liu Y, Biometrika, Volume 101, 2014 Jun, Issue 2, p.477-483. (2014) PubMed
Multicategory angle-based large-margin classification., Zhang C, Liu Y, Biometrika, Volume 101, 2014 Sep, Issue 3, p.625-640. (2014) PubMed
Adaptively weighted large margin classifiers., Wu Y, Liu Y, J Comput Graph Stat, Volume 22, 2013, Issue 2, (2013) PubMed
Bidirectional discrimination with application to data visualization., Huang H, Liu Y, Marron JS, Biometrika, Volume 99, 2012 Dec, Issue 4, p.851-864. (2012) PubMed
Linear or nonlinear? Automatic structure discovery for partially linear models., Zhang HHelen, Cheng G, Liu Y, J Am Stat Assoc, Volume 106, 2011 Sep 01, Issue 495, p.1099-1112. (2011) PubMed
Hard or soft classification? Large-margin unified machines., Liu Y, Zhang HHelen, Wu Y, J Am Stat Assoc, Volume 106, 2011 Mar 01, Issue 493, p.166-177. (2011) PubMed
Utility-based weighted multicategory robust support vector machines., Liu Y, Wu Y, He Q, Stat Interface, Volume 3, 2010 Oct 01, Issue 4, p.465-476. (2010) PubMed
Software
RAMSVM: Reinforced angle-based multicategory support vector machines (R)., Zhang C, Liu Y, Holloway ST, (2016)