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Yiyuan She
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Cited by
Year
Outlier detection using nonconvex penalized regression
Y She, AB Owen
Journal of the American Statistical Association 106 (494), 626-639, 2011
3632011
Optimal selection of reduced rank estimators of high-dimensional matrices
F Bunea, Y She, MH Wegkamp
2692011
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
2082015
Sparse regression with exact clustering
Y She
Stanford University, 2008
1962008
Thresholding-based iterative selection procedures for model selection and shrinkage
Y She
1782009
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
1612011
A comparison of typical ℓp minimization algorithms
Q Lyu, Z Lin, Y She, C Zhang
Neurocomputing 119, 413-424, 2013
1412013
Joint variable and rank selection for parsimonious estimation of high-dimensional matrices
F Bunea, Y She, MH Wegkamp
1372012
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
1362016
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
1172013
An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors
Y She
Computational Statistics & Data Analysis 56 (10), 2976-2990, 2012
1092012
Robust reduced-rank regression
Y She, K Chen
Biometrika 104 (3), 633-647, 2017
642017
Group regularized estimation under structural hierarchy
Y She, Z Wang, H Jiang
Journal of the American Statistical Association 113 (521), 445-454, 2018
542018
Selective factor extraction in high dimensions
Y She
Biometrika 104 (1), 97-110, 2017
53*2017
Robust orthogonal complement principal component analysis
Y She, S Li, D Wu
Journal of the American Statistical Association 111 (514), 763-771, 2016
342016
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
312013
Reduced Rank Vector Generalized Linear Models for Feature Extraction
Y She
Statistics and Its Interface 6, 197-209, 2013
272013
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
252017
Stationary-Sparse Causality Network Learning.
Y He, Y She, D Wu
Journal of Machine Learning Research 14, 2013
182013
On the finite-sample analysis of -estimators
Y She
172016
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Articles 1–20