Xiaoming Yuan

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Coauteurs

Bingsheng He 何炳生Nanjing UniversityAdresse e-mail validée de nju.edu.cn
Min TaoNanjing university;Adresse e-mail validée de nju.edu.cn
Deren HanSchool of Mathematical Sciences, Nanjing Normal UniversityAdresse e-mail validée de njnu.edu.cn
Junfeng YangNanjing UniversityAdresse e-mail validée de nju.edu.cn
Michael Kwok-Po NgSIAM Fellow and Chair Professor, Department of Mathematics, The University of Hong KongAdresse e-mail validée de maths.hku.hk
Wenxing ZhangSchool of Mathematical Sciences, University of Electronic Science and Technology of ChinaAdresse e-mail validée de uestc.edu.cn
Caihua ChenNanjing UniversityAdresse e-mail validée de nju.edu.cn
Han LiuAssistant Professor, Operations Research and Financial Engineering, Princeton UniversityAdresse e-mail validée de princeton.edu
Raymond H. ChanDean, College of Science, City University of Hong KongAdresse e-mail validée de cityu.edu.hk
Tom GoldsteinPerotto Associate Professor of Computer Science, University of MarylandAdresse e-mail validée de cs.umd.edu
Xiangfeng Wang 王祥丰Multi-agent Artificial Intelligence Laboratory, East China Normal UniversityAdresse e-mail validée de sei.ecnu.edu.cn
Jin ZhangSouthern University of Science and TechnologyAdresse e-mail validée de sustech.edu.cn
Xingju Cai南京师范大学数科院Adresse e-mail validée de njnu.edu.cn
Li-Zhi LiaoHong Kong Baptist UnivesityAdresse e-mail validée de hkbu.edu.hk
Yinyu YeK.T. Li Professor of Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Jane J. YeProfessor of mathematics, University of VictoriaAdresse e-mail validée de uvic.ca
Zheng XuGoogle ResearchAdresse e-mail validée de cs.umd.edu
Mario A. T. FigueiredoInstituto de Telecomunicações; Instituto Superior Técnico, Universidade de Lisboa, PortugalAdresse e-mail validée de ist.utl.pt
Tuo ZhaoAssistant Professor, Georgia TechAdresse e-mail validée de gatech.edu
pierre weissChargé de recherche, ITAV, UMS3039Adresse e-mail validée de math.univ-toulouse.fr

Xiaoming Yuan

The University of Hong Kong

Adresse e-mail validée de hku.hk

Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
On the Convergence Rate of the Douglas–Rachford Alternating Direction Method B He, X Yuan SIAM Journal on Numerical Analysis 50 (2), 700-709, 2012	783	2012
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent C Chen, B He, Y Ye, X Yuan Mathematical Programming 155 (1-2), 57-79, 2016	485	2016
Recovering low-rank and sparse components of matrices from incomplete and noisy observations M Tao, X Yuan SIAM Journal on Optimization 21 (1), 57-81, 2011	436	2011
Sparse and low-rank matrix decomposition via alternating direction methods X Yuan, J Yang Pacific Journal of Optimization 9 (1), 167-180, 2013	388*	2013
Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization J Yang, X Yuan Mathematics of computation 82 (281), 301-329, 2013	362	2013
Alternating direction method with Gaussian back substitution for separable convex programming B He, M Tao, X Yuan SIAM Journal on Optimization 22 (2), 313-340, 2012	335	2012
Convergence analysis of primal-dual algorithms for a saddle-point problem: from contraction perspective B He, X Yuan SIAM Journal on Imaging Sciences 5 (1), 119-149, 2012	284	2012
Solving constrained total-variation image restoration and reconstruction problems via alternating direction methods MK Ng, P Weiss, X Yuan SIAM journal on Scientific Computing 32 (5), 2710-2736, 2010	272	2010
On non-ergodic convergence rate of Douglas–Rachford alternating direction method of multipliers B He, X Yuan Numerische Mathematik 130 (3), 567-577, 2015	246	2015
A note on the alternating direction method of multipliers D Han, X Yuan Journal of Optimization Theory and Applications 155 (1), 227-238, 2012	189	2012
Matrix completion via an alternating direction method C Chen, B He, X Yuan IMA Journal of Numerical Analysis 32 (1), 227-245, 2012	167	2012
Constrained total variation deblurring models and fast algorithms based on alternating direction method of multipliers RH Chan, M Tao, X Yuan SIAM Journal on imaging Sciences 6 (1), 680-697, 2013	159	2013
Alternating direction method for covariance selection models X Yuan Journal of Scientific Computing 51 (2), 261-273, 2012	143*	2012
Adaptive primal-dual splitting methods for statistical learning and image processing T Goldstein, M Li, X Yuan Advances in Neural Information Processing Systems 28, 2089-2097, 2015	142*	2015
A strictly contractive peaceman--rachford splitting method for convex programming B He, H Liu, Z Wang, X Yuan SIAM Journal on Optimization 24 (3), 1011-1040, 2014	129	2014
A splitting method for separable convex programming B He, M Tao, X Yuan IMA Journal of Numerical Analysis 35 (1), 394-426, 2015	116*	2015
An approximate proximal-extragradient type method for monotone variational inequalities B He, Z Yang, X Yuan Journal of Mathematical Analysis and Applications 300 (2), 362-374, 2004	115	2004
On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function X Cai, D Han, X Yuan Computational Optimization and Applications 66 (1), 39-73, 2017	95*	2017
Alternating direction method for image inpainting in wavelet domains RH Chan, J Yang, X Yuan SIAM Journal on Imaging Sciences 4 (3), 807-826, 2011	93	2011
On full Jacobian decomposition of the augmented Lagrangian method for separable convex programming B He, L Hou, X Yuan SIAM Journal on Optimization 25 (4), 2274-2312, 2015	92	2015

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