Yong Zhang
Yong Zhang
Senior Principal Researcher at Huawei Technologies, Canada
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
Sparse approximation via penalty decomposition methods
Z Lu, Y Zhang
SIAM Journal on Optimization 23 (4), 2448-2478, 2013
1522013
An augmented Lagrangian approach for sparse principal component analysis
Z Lu, Y Zhang
Mathematical programming 135 (1-2), 149-193, 2012
1082012
An efficient algorithm for ℓ 0 minimization in wavelet frame based image restoration
B Dong, Y Zhang
Journal of Scientific Computing 54 (2), 350-368, 2013
1012013
ℓ₀ Minimization for wavelet frame based image restoration
Y Zhang, B Dong, Z Lu
Mathematics of Computation 82 (282), 995-1015, 2013
952013
Penalty decomposition methods for rank minimization
Z Lu, Y Zhang, X Li
Optimization Methods and Software 30 (3), 531-558, 2015
76*2015
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study
KM Pohl, EV Sullivan, T Rohlfing, W Chu, D Kwon, BN Nichols, Y Zhang, ...
NeuroImage 130, 194-213, 2016
602016
An alternating direction method for finding Dantzig selectors
Z Lu, TK Pong, Y Zhang
Computational Statistics & Data Analysis 56 (12), 4037-4046, 2012
352012
Penalty decomposition methods for l0-norm minimization
Z Lu, Y Zhang
preprint, 2010
352010
Extracting patterns of morphometry distinguishing HIV associated neurodegeneration from mild cognitive impairment via group cardinality constrained classification
Y Zhang, D Kwon, P Esmaeili‐Firidouni, A Pfefferbaum, EV Sullivan, ...
Human brain mapping 37 (12), 4523-4538, 2016
242016
Penalty decomposition methods for rank minimization
Y Zhang, Z Lu
Advances in Neural Information Processing Systems 24, 46-54, 2011
242011
Multi-Tissue Decomposition of Diffusion MRI Signals via Sparse-Group Estimation
PT Yap, Y Zhang, D Shen
IEEE Transactions on Image Processing 25 (9), 4340-4353, 2016
202016
Regularized low-rank approximation via iterative reweighted singular value minimization
Z Lu, Y Zhang, J Lu
Computational Optimization and Applications 68 (3), 619-642, 2017
142017
Logistic regression confined by cardinality-constrained sample and feature selection
E Adeli, X Li, D Kwon, Y Zhang, KM Pohl
IEEE transactions on pattern analysis and machine intelligence 42 (7), 1713-1728, 2019
112019
Neighborhood matching for curved domains with application to denoising in diffusion MRI
G Chen, B Dong, Y Zhang, D Shen, PT Yap
International Conference on Medical Image Computing and Computer-Assisted …, 2017
112017
Computing group cardinality constraint solutions for logistic regression problems
Y Zhang, D Kwon, KM Pohl
Medical image analysis 35, 58-69, 2017
112017
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
PT Yap, Y Zhang, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2015
112015
Denoising of Diffusion MRI Data via Graph Framelet Matching in xq Space
G Chen, B Dong, Y Zhang, W Lin, D Shen, PT Yap
IEEE Transactions on Medical Imaging 38 (12), 2838-2848, 2019
102019
Iterative Reweighted Singular Value Minimization Methods for Regularized Unconstrained Matrix Minimization
Z Lu, Y Zhang
arXiv preprint arXiv:1401.0869, 2014
92014
Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals
SH Park, Y Zhang, D Kwon, Q Zhao, NM Zahr, A Pfefferbaum, EV Sullivan, ...
Scientific reports 8 (1), 1-14, 2018
72018
Tight graph framelets for sparse diffusion MRI q-space representation
PT Yap, B Dong, Y Zhang, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2016
62016
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