Outlier detection using nonconvex penalized regression Y She, AB Owen
Journal of the American Statistical Association 106 (494), 626-639, 2011
369 2011 Optimal selection of reduced rank estimators of high-dimensional matrices F Bunea, Y She, MH Wegkamp
273 2011 Why deep learning works: A manifold disentanglement perspective PP Brahma, D Wu, Y She
IEEE transactions on neural networks and learning systems 27 (10), 1997-2008, 2015
211 2015 Sparse regression with exact clustering Y She
Stanford University, 2008
196 2008 Thresholding-based iterative selection procedures for model selection and shrinkage Y She
182 2009 Penalized least squares regression methods and applications to neuroimaging F Bunea, Y She, H Ombao, A Gongvatana, K Devlin, R Cohen
Neuroimage 55 (4), 1519-1527, 2011
165 2011 A comparison of typical ℓp minimization algorithms Q Lyu, Z Lin, Y She, C Zhang
Neurocomputing 119, 413-424, 2013
146 2013 Joint variable and rank selection for parsimonious estimation of high-dimensional matrices F Bunea, Y She, MH Wegkamp
140 2012 Feature selection with annealing for computer vision and big data learning A Barbu, Y She, L Ding, G Gramajo
IEEE transactions on pattern analysis and machine intelligence 39 (2), 272-286, 2016
136 2016 The group square-root lasso: Theoretical properties and fast algorithms F Bunea, J Lederer, Y She
IEEE Transactions on Information Theory 60 (2), 1313-1325, 2013
117 2013 An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors Y She
Computational Statistics & Data Analysis 56 (10), 2976-2990, 2012
109 2012 Robust reduced-rank regression Y She, K Chen
Biometrika 104 (3), 633-647, 2017
65 2017 Group regularized estimation under structural hierarchy Y She, Z Wang, H Jiang
Journal of the American Statistical Association 113 (521), 445-454, 2018
54 2018 Selective factor extraction in high dimensions Y She
Biometrika 104 (1), 97-110, 2017
54 * 2017 Robust orthogonal complement principal component analysis Y She, S Li, D Wu
Journal of the American Statistical Association 111 (514), 763-771, 2016
35 2016 Group iterative spectrum thresholding for super-resolution sparse spectral selection Y She, J Wang, H Li, D Wu
IEEE Transactions on signal Processing 61 (24), 6371-6386, 2013
31 2013 Reduced Rank Vector Generalized Linear Models for Feature Extraction Y She
Statistics and Its Interface 6, 197-209, 2013
28 2013 Reinforced robust principal component pursuit PP Brahma, Y She, S Li, J Li, D Wu
IEEE transactions on neural networks and learning systems 29 (5), 1525-1538, 2017
25 2017 Stationary-Sparse Causality Network Learning. Y He, Y She, D Wu
Journal of Machine Learning Research 14, 2013
18 2013 On the finite-sample analysis of -estimators Y She
17 2016