X. Yuan

发表

Linearized Alternating Direction Method of Multipliers via Positive-Indefinite Proximal Regularization for Convex Programming

Xiaoming Yuan, B. He, Fengming Ma, 2016 .

Enhanced total variation minimization for stable image reconstruction

Xiaoming Yuan, Congpei An, Haonan Wu, 2022, Inverse Problems.

The springback penalty for robust signal recovery

Xiaoming Yuan, Congpei An, Hao-Ning Wu, 2021, Applied and Computational Harmonic Analysis.

Supplementary Material for Adaptive Relaxed ADMM

Mário A. T. Figueiredo, Xiaoming Yuan, Zheng Xu, 2017 .

Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

Xiaoming Yuan, Richard Baraniuk, T. Goldstein, 2013, 1305.0546.

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization

Xiaoming Yuan, Risheng Liu, Pan Mu, 2021, IEEE transactions on pattern analysis and machine intelligence.

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection

Xiaoming Yuan, Jin Zhang, Shangzhi Zeng, 2021, Mathematical Programming.

A proximal point algorithm revisit on the alternating direction method of multipliers

Xiaoming Yuan, B. He, Xingju Cai, 2013 .

A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming

Xiaoming Yuan, B. He, Fengming Ma, 2022, 2205.02723.

On the acceleration of augmented Lagrangian method for linearly constrained optimization

Xiaoming Yuan, B. He, X. Yuan, 2010 .

Solving a class of matrix minimization problems by linear variational inequality approaches

Xiaoming Yuan, B. He, M. Tao, 2011 .

A contraction method with implementable proximal regularization for linearly constrained convex programming

Xiaoming Yuan, B. He, X. Yuan, 2011 .

On the Direct Extension of ADMM for Multi-block Separable Convex Programming and Beyond : From Variational Inequality Perspective

Xiaoming Yuan, B. He, X. Yuan, 2014 .

On construction of splitting contraction algorithms in a prediction-correction framework for separable convex optimization

Xiaoming Yuan, B. He, X. Yuan, 2022, 2204.11522.

Improving an ADMM-like Splitting Method via Positive-Indefinite Proximal Regularization for Three-Block Separable Convex Minimization

Xiaoming Yuan, B. He, X. Yuan, 2016 .

On the Step Size of Symmetric Alternating Directions Method of Multipliers

Xiaoming Yuan, B. He, Fengming Ma, 2015 .

A Class of ADMM-based Algorithms for Multi-block Separable Convex Programming

Xiaoming Yuan, B. He, X. Yuan, 2015 .

An alternating direction-based contraction method for linearly constrained separable convex programming problems

Xiaoming Yuan, B. He, M. Tao, 2013 .

Linearized alternating direction method of multipliers with Gaussian back substitution for separable convex programming

Xiaoming Yuan, B. He, X. Yuan, 2013 .

Block-Wise ADMM with a Relaxation Factor for Multiple-Block Convex Programming

Xiaoming Yuan, B. He, Minghua Xu, 2018 .

Positive-indefinite Proximal Augmented Lagrangian Method and Its Application to Full Jacobian Splitting for Multi-block Separable Convex Minimization Problems

Xiaoming Yuan, B. He, Fengming Ma, 2022 .

On the Optimal Proximal Parameter of an ADMM-like Splitting Method for Separable Convex Programming

Xiaoming Yuan, B. He, X. Yuan, 2021, Springer Proceedings in Mathematics & Statistics.

An approximate proximal-extragradient type method for monotone variational inequalities

Xiaoming Yuan, B. He, Zhenhua Yang, 2004 .

Applications of the alternating direction method of multipliers to the semidefinite inverse quadratic eigenvalue problem with a partial eigenstructure

Xiaoming Yuan, Zhengjian Bai, Mei-Xiang Chen, 2013 .

LINEARIZED ALTERNATING DIRECTION METHOD FOR CONSTRAINED LINEAR LEAST-SQUARES PROBLEM

Xiaoming Yuan, R. Chan, M. Tao, 2011 .

Implementing the ADMM to Big Datasets : A Case Study of LASSO

Xiaoming Yuan, Xiangfeng Wang, Qingzhi Yang, 2017 .

Linearized primal-dual methods for linear inverse problems with total variation regularization and finite element discretization

Xiaoming Yuan, WenYi Tian, X. Yuan, 2016 .

The Globally Uniquely Solvable Property of Second-Order Cone Linear Complementarity Problems

Xiaoming Yuan, W. Yang, X. Yuan, 2010 .

Linearized Alternating Direction Method of Multipliers for Constrained Linear Least-Squares Problem

Xiaoming Yuan, R. Chan, M. Tao, 2012 .

Some proximal algorithms for linearly constrained general variational inequalities

Xiaoming Yuan, M. Li, X. Yuan, 2012 .

A globally convergent proximal Newton-type method in nonsmooth convex optimization

Xiaoming Yuan, B. Mordukhovich, Shangzhi Zeng, 2020, Mathematical Programming.

CONSTRAINED TOTAL VARIATIONAL DEBLURRING MODELS AND FAST ALGORITHMS BASED ON ALTERNATING DIRECTION METHOD OF MULTIPLIERS

Xiaoming Yuan, R. Chan, M. Tao, 2018 .

Convergence Analysis of ISTA and FISTA for “ Strongly + Semi ” Convex Programming

Xiaoming Yuan, Shangzhi Zeng, K. Guo, 2016 .

The augmented Lagrangian method with full Jacobian decomposition and logarithmic-quadratic proximal regularization for multiple-block separable convex programming

Xiaoming Yuan, Min Li, X. Yuan, 2018 .

An improved proximal-based decomposition method for structured monotone variational inequalities

Xiaoming Yuan, Min Li, X. Yuan, 2007 .

ON THE LINEAR CONVERGENCE RATE OF A GENERALIZED PROXIMAL POINT ALGORITHM

Xiaoming Yuan, M. Tao, X. Yuan, 2015 .

An accelerated primal-dual iterative scheme for the L2-TV regularized model of linear inverse problems

Xiaoming Yuan, WenYi Tian, X. Yuan, 2019, Inverse Problems.

Alternating algorithms for total variation image reconstruction from random projections

Xiaoming Yuan, Junfeng Yang, Yunhai Xiao, 2012 .

Convergence analysis of the Peaceman-Rachford splitting method for nonsmooth convex optimization

Xiaoming Yuan, Deren Han, X. Yuan, 2013 .

An improved Goldstein's type method for a class of variant variational inequalities

Xiaoming Yuan, Min Li, X. Yuan, 2008 .

On Convergence of the Arrow–Hurwicz Method for Saddle Point Problems

Xiaoming Yuan, B. He, Sheng Xu, 2022, Journal of Mathematical Imaging and Vision.

Optimal proximal augmented Lagrangian method and its application to full Jacobian splitting for multi-block separable convex minimization problems

Xiaoming Yuan, B. He, Fengming Ma, 2020, IMA Journal of Numerical Analysis.

A customized Douglas–Rachford splitting algorithm for separable convex minimization with linear constraints

Xiaoming Yuan, Deren Han, Hongjin He, 2013, Numerische Mathematik.

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization

Xiaoming Yuan, Risheng Liu, Shangzhi Zeng, 2021, ICML.

A rank-two relaxed parallel splitting version of the augmented Lagrangian method with step size in (0,2) for separable convex programming

Xiaoming Yuan, B. He, Fengming Ma, 2022, Math. Comput..

On the convergence rate of Douglas–Rachford operator splitting method

Xiaoming Yuan, B. He, X. Yuan, 2014, Mathematical programming.

The generalized proximal point algorithm with step size 2 is not necessarily convergent

M. Tao, X. Yuan, 2018, Computational Optimization and Applications.

A customized proximal point algorithm for convex minimization with linear constraints

Xiaoming Yuan, B. He, Wenxing Zhang, 2013, Computational Optimization and Applications.

Convergence Analysis of Primal–Dual Based Methods for Total Variation Minimization with Finite Element Approximation

Xiaoming Yuan, X. Yuan, Wenyi Tian, 2018, Journal of Scientific Computing.

An ADMM numerical approach to linear parabolic state constrained optimal control problems

R. Glowinski, Xiaoming Yuan, Yongcun Song, 2020, Numerische Mathematik.

Optimally linearizing the alternating direction method of multipliers for convex programming

B. He, Fengming Ma, X. Yuan, 2019, Computational Optimization and Applications.

On Glowinski’s Open Question on the Alternating Direction Method of Multipliers

M. Tao, X. Yuan, 2018, Journal of Optimization Theory and Applications.

Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization

M. Tao, X. Yuan, 2017, Advances in Computational Mathematics.

Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization

Caihua Chen, Min Li, Min Li, 2014, Journal of Optimization Theory and Applications.

The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

Y. Ye, Xiaoming Yuan, B. He, 2014, Mathematical Programming.

Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with Logarithmic–Quadratic Proximal Regularization

Min Li, Xinxin Li, Min Li, 2014, Journal of Optimization Theory and Applications.

Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach

Xiaoming Yuan, B. He, G. Gu, 2013, Computational Optimization and Applications.

An ADM-based splitting method for separable convex programming

Xiaoming Yuan, Deren Han, Xingju Cai, 2012, Computational Optimization and Applications.

Alternating Direction Method for Covariance Selection Models

Xiaoming Yuan, X. Yuan, 2012, J. Sci. Comput..

A Note on the Alternating Direction Method of Multipliers

X. Yuan, Deren Han, 2012, Journal of Optimization Theory and Applications.

On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function

Xiaoming Yuan, Deren Han, Xingju Cai, 2016, Computational Optimization and Applications.

On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM

Xiaoming Yuan, B. He, Hong-Kun Xu, 2015, Journal of Scientific Computing.

Perturbation Techniques for Convergence Analysis of Proximal Gradient Method and Other First-Order Algorithms via Variational Analysis

Xiaoming Yuan, Xiangfeng Wang, Shangzhi Zeng, 2021, Set-Valued and Variational Analysis.

A proximal point algorithm revisit on the alternating direction method of multipliers

B. He, Xingju Cai, G. Gu, 2013, Science China Mathematics.

A numerical approach to the optimal control of thermally convective flows

Yongcun Song, Hangrui Yue, X. Yuan, 2022, 2211.15302.

Computing the nearest Euclidean distance matrix with low embedding dimensions

Xiaoming Yuan, X. Yuan, Hou-Duo Qi, 2013, Mathematical Programming.

An Accelerated Inexact Proximal Point Algorithm for Convex Minimization

B. He, X. Yuan, 2011, Journal of Optimization Theory and Applications.

Point-spread function reconstruction in ground-based astronomy by l(1)-l(p) model.

Xiaoming Yuan, Wenxing Zhang, Xiaoming Yuan, 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.

Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems : a uniform approach

Bingsheng He, Xiaoming Yuan, Guoyong Gu, 2011 .

A customized Douglas–Rachford splitting algorithm for separable convex minimization with linear constraints

Xiaoming Yuan, Hai Yang, Hongjin He, 2013, Numerische Mathematik.

VARIATIONAL DEBLURRING MODELS AND FAST ALGORITHMS BASED ON ALTERNATING DIRECTION METHOD OF MULTIPLIERS

Xiaoming Yuan, R. Chan, M. Tao, 2012 .

An alternating direction method of multipliers with a worst-case O(1/n2) convergence rate

Xiaoming Yuan, WenYi Tian, X. Yuan, 2018, Mathematics of Computation.

Convergence Analysis of Primal–Dual Based Methods for Total Variation Minimization with Finite Element Approximation

Xiaoming Yuan, WenYi Tian, Xiaoming Yuan, 2018, J. Sci. Comput..

On the Optimal Linear Convergence Rate of a Generalized Proximal Point Algorithm

Xiaoming Yuan, Min Tao, M. Tao, 2016, J. Sci. Comput..

On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities

Bingsheng He, Caihua Chen, Xiaoming Yuan, 2017, J. Optim. Theory Appl..

Accelerated Uzawa methods for convex optimization

Xiaoming Yuan, Min Tao, Xiaoming Yuan, 2016, Math. Comput..

An alternating direction method of multipliers with a worst-case O(1/n2) convergence rate

Xiaoming Yuan, X. Yuan, Wenyi Tian, 2018, Math. Comput..

Application of the Strictly Contractive Peaceman-Rachford Splitting Method to Multi-Block Separable Convex Programming

Bingsheng He, Xiaoming Yuan, Han Liu, 2016 .

On Full Jacobian Decomposition of the Augmented Lagrangian Method for Separable Convex Programming

Bingsheng He, Xiaoming Yuan, Liusheng Hou, 2015, SIAM J. Optim..

On the convergence rate of Douglas–Rachford operator splitting method

Bingsheng He, Xiaoming Yuan, B. He, 2015, Math. Program..

Further Study on the Convergence Rate of Alternating Direction Method of Multipliers with Logarithmic-quadratic Proximal Regularization

Caihua Chen, Min Li, Xiaoming Yuan, 2015, J. Optim. Theory Appl..

A Proximal Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming with Applications to Imaging

Xiaoming Yuan, Xinxin Li, Xiaoming Yuan, 2015, SIAM J. Imaging Sci..

Generalized alternating direction method of multipliers: new theoretical insights and applications

Bingsheng He, Xiaoming Yuan, Han Liu, 2015, Math. Program. Comput..

Convergence Analysis of the Generalized Alternating Direction Method of Multipliers with Logarithmic–Quadratic Proximal Regularization

Min Li, Xiaoming Yuan, Xinxin Li, 2015, J. Optim. Theory Appl..

On the Convergence of Primal-Dual Hybrid Gradient Algorithm

Bingsheng He, Xiaoming Yuan, Yanfei You, 2014, SIAM J. Imaging Sci..

On non-ergodic convergence rate of Douglas–Rachford alternating direction method of multipliers

Bingsheng He, Xiaoming Yuan, Xiaoming Yuan, 2014, Numerische Mathematik.

A Generalized Proximal Point Algorithm and Its Convergence Rate

Xiaoming Yuan, Etienne Corman, E. Corman, 2014, SIAM J. Optim..

A Strictly Contractive Peaceman-Rachford Splitting Method for Convex Programming

Bingsheng He, Xiaoming Yuan, Zhaoran Wang, 2014, SIAM J. Optim..

Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers

Raymond H. Chan, Xiaoming Yuan, Min Tao, 2013, SIAM J. Imaging Sci..

Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization

Junfeng Yang, Xiaoming Yuan, Xiaoming Yuan, 2012, Math. Comput..

An Accelerated Inexact Proximal Point Algorithm for Convex Minimization

Bingsheng He, Xiaoming Yuan, B. He, 2012, J. Optim. Theory Appl..

Alternating Direction Method for Image Inpainting in Wavelet Domains

Raymond H. Chan, Junfeng Yang, Xiaoming Yuan, 2011, SIAM J. Imaging Sci..

Inexact Alternating Direction Methods for Image Recovery

Michael K. Ng, Xiaoming Yuan, Fan Wang, 2011, SIAM J. Sci. Comput..

Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations

Xiaoming Yuan, Min Tao, Xiaoming Yuan, 2011, SIAM J. Optim..

A splitting method for separate convex programming with linking linear constraints

Xiaoming Yuan, B. He, M. Tao, 2010 .

Alternating directions based contraction method for generally separable linearly constrained convex programming problems

Bingsheng He, Min Tao, Xiaoming Yuan, 2009 .

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization

Xiaoming Yuan, Risheng Liu, Shangzhi Zeng, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation

Zheng Xu, Xiaoming Yuan, Tom Goldstein, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach

Xiaoming Yuan, Yongcun Song, Hangrui Yue, 2023, ArXiv.

A Generalized Primal-Dual Algorithm with Improved Convergence Condition for Saddle Point Problems

Bingsheng He, Xiaoming Yuan, Feng Ma, 2021, SIAM J. Imaging Sci..

An ADMM-Newton-CNN numerical approach to a TV model for identifying discontinuous diffusion coefficients in elliptic equations: convex case with gradient observations

Xiaoming Yuan, Hangrui Yue, Wenyi Tian, 2021, Inverse Problems.

A class of ADMM-based algorithms for three-block separable convex programming

Bingsheng He, Xiaoming Yuan, Xiaoming Yuan, 2018, Computational Optimization and Applications.

An Algorithmic Framework of Generalized Primal–Dual Hybrid Gradient Methods for Saddle Point Problems

Bingsheng He, Xiaoming Yuan, Feng Ma, 2017, Journal of Mathematical Imaging and Vision.

Convergence Rate Analysis for the Alternating Direction Method of Multipliers with a Substitution Procedure for Separable Convex Programming

Bingsheng He, Xiaoming Yuan, Min Tao, 2017, Math. Oper. Res..

A sequential updating scheme of the Lagrange multiplier for separable convex programming

Xiaoming Yuan, Deren Han, Wenxing Zhang, 2016, Math. Comput..

Convergence Study on the Symmetric Version of ADMM with Larger Step Sizes

Bingsheng He, Xiaoming Yuan, Feng Ma, 2016, SIAM J. Imaging Sci..

Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing

Min Li, Xiaoming Yuan, Tom Goldstein, 2015, NIPS.

Total variation based tensor decomposition for multi‐dimensional data with time dimension

Chuan Chen, Michael K. Ng, Xiaoming Yuan, 2015, Numer. Linear Algebra Appl..

Median filtering‐based methods for static background extraction from surveillance video

Michael K. Ng, Xiaoming Yuan, Xinxin Li, 2015, Numer. Linear Algebra Appl..

A splitting method for separable convex programming

Xiaoming Yuan, B. He, M. Tao, 2015 .

An augmented Lagrangian based parallel splitting method for separable convex minimization with applications to image processing

Xiaoming Yuan, Deren Han, Wenxing Zhang, 2014, Math. Comput..

Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs

Xiaoming Yuan, Deren Han, Xiaoming Yuan, 2013, SIAM J. Numer. Anal..

Coupled Variational Image Decomposition and Restoration Model for Blurred Cartoon-Plus-Texture Images With Missing Pixels

Michael K. Ng, Xiaoming Yuan, Wenxing Zhang, 2013, IEEE Transactions on Image Processing.

A customized proximal point algorithm for convex minimization with linear constraints

Bingsheng He, Xiaoming Yuan, Wenxing Zhang, 2013, Comput. Optim. Appl..

An ADM-based splitting method for separable convex programming

Xiaoming Yuan, Deren Han, Wenxing Zhang, 2013, Comput. Optim. Appl..

The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

Bingsheng He, Caihua Chen, Xiaoming Yuan, 2014, Mathematical Programming.

Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective

Bingsheng He, Xiaoming Yuan, Xiaoming Yuan, 2012, SIAM J. Imaging Sci..

Matrix completion via an alternating direction method

Xiaoming Yuan, B. He, Caihua Chen, 2012 .

A two-stage numerical approach for the sparse initial source identification of a diffusion-advection equation

E. Zuazua, Yongcun Song, Umberto Biccari, 2022, 2202.01589.

An ADMM numerical approach to linear parabolic state constrained optimal control problems

Roland Glowinski, Xiaoming Yuan, Yongcun Song, 2020, Numerische Mathematik.

An Inexact Uzawa Algorithmic Framework for Nonlinear Saddle Point Problems with Applications to Elliptic Optimal Control Problem

Xiaoming Yuan, Hangrui Yue, Yongcun Song, 2019, SIAM J. Numer. Anal..

Optimally linearizing the alternating direction method of multipliers for convex programming

Bingsheng He, Xiaoming Yuan, Feng Ma, 2019, Comput. Optim. Appl..

Solving Large-Scale Least Squares Semidefinite Programming by Alternating Direction Methods

Bingsheng He, Xiaoming Yuan, Minghua Xu, 2011, SIAM J. Matrix Anal. Appl..

Sparse and low-rank matrix decomposition via alternating direction method

Xiaoming Yuan, Junfeng Yang, X. Yuan, 2013 .

A Note on the Alternating Direction Method of Multipliers

Xiaoming Yuan, Deren Han, Xiaoming Yuan, 2012, J. Optim. Theory Appl..

On the O(1/n) Convergence Rate of the Douglas-Rachford Alternating Direction Method

Bingsheng He, Xiaoming Yuan, Xiaoming Yuan, 2012, SIAM J. Numer. Anal..

Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods

Michael K. Ng, Xiaoming Yuan, Pierre Weiss, 2010, SIAM J. Sci. Comput..

Alternating Direction Method for Covariance Selection Models

Xiaoming Yuan, X. Yuan, 2011, Journal of Scientific Computing.

Block Coordinate Proximal Gradient Method for Nonconvex Optimization Problems : Convergence Analysis

Xiaoming Yuan, Xiangfeng Wang, Jinchuan Zhou, 2018 .

Difference of convex algorithms for bilevel programs with applications in hyperparameter selection

Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, 2021, Mathematical programming.

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton pdf

Xiaoming Yuan, Risheng Liu, Pan Mu, 2020, ICML.

Balanced Augmented Lagrangian Method for Convex Programming

Bingsheng He, Xiaoming Yuan, Xiaoming Yuan, 2021, 2108.08554.

Extensions of ADMM for Separable Convex Optimization Problems with Linear Equality or Inequality Constraints

Bingsheng He, Xiaoming Yuan, Shengjie Xu, 2021, 2107.01897.

Implementation of the ADMM to Parabolic Optimal Control Problems with Control Constraints and Beyond

Xiaoming Yuan, Hangrui Yue, Yongcun Song, 2020, 2005.01582.

Block-Wise Alternating Direction Method of Multipliers with Gaussian Back Substitution for Multiple-Block Convex Programming

Bingsheng He, Xiangfeng Wang, Xiaoming Yuan, 2019, Splitting Algorithms, Modern Operator Theory, and Applications.

On Glowinski’s Open Question on the Alternating Direction Method of Multipliers

Xiaoming Yuan, Min Tao, M. Tao, 2018, J. Optim. Theory Appl..

The generalized proximal point algorithm with step size 2 is not necessarily convergent

Xiaoming Yuan, Min Tao, M. Tao, 2018, Comput. Optim. Appl..

Block-Wise ADMM with a Relaxation Factor for Multiple-Block Convex Programming

B. He, Minghua Xu, X. Yuan, 2018, Journal of the Operations Research Society of China.

On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function

Xiaoming Yuan, Deren Han, Xingju Cai, 2017, Comput. Optim. Appl..

On the Proximal Jacobian Decomposition of ALM for Multiple-Block Separable Convex Minimization Problems and Its Relationship to ADMM

Bingsheng He, Xiaoming Yuan, Hong-Kun Xu, 2016, J. Sci. Comput..

Linearized alternating direction method of multipliers for sparse group and fused LASSO models

Xiaoming Yuan, Xinxin Li, Jianzhong Zhang, 2014, Comput. Stat. Data Anal..

The direct extension of ADMM for three-block separable convex minimization models is convergent when one function is strongly convex

Xiaoming Yuan, Deren Han, Xingju Cai, 2014 .

The Linearized Alternating Direction Method of Multipliers for Dantzig Selector

Xiangfeng Wang, Xiaoming Yuan, Xiaoming Yuan, 2012, SIAM J. Sci. Comput..

Linearized Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming

Bingsheng He, Xiaoming Yuan, Min Tao, 2011 .

Convergence rate and iteration complexity on the alternating direction method of multipliers with a substitution procedure for separable convex programming

Xiaoming Yuan, B. He, M. Tao, 2012 .

A relaxed customized proximal point algorithm for separable convex programming

B. He, Xingju Cai, G. Gu, 2011 .

On the O(1/t) Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization

Xiaoming Yuan, Min Tao, Xiaoming Yuan, 2012, SIAM J. Optim..

An LQP-Based Decomposition Method for Solving a Class of Variational Inequalities

Min Li, Xiaoming Yuan, Min Li, 2011, SIAM J. Optim..

An improved LQP-based method for solving nonlinear complementarity problems

Xiaoming Yuan, Min Li, X. Yuan, 2010 .

A hybrid inexact Logarithmic-Quadratic Proximal method for nonlinear complementarity problems

Bingsheng He, Xiaoming Yuan, B. He, 2006 .

A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities

Bingsheng He, Xiaoming Yuan, Ya Xu, 2006, Comput. Optim. Appl..

A LQP BASED INTERIOR PREDICTION-CORRECTION METHOD FOR NONLINEAR COMPLEMENTARITY PROBLEMS 1)

Bingsheng He, Li-Zhi Liao, L. Liao, 2006 .

On non-ergodic convergence rate of Douglas–Rachford alternating direction method of multipliers

Xiaoming Yuan, B. He, X. Yuan, 2015, Numerische Mathematik.

Partial Error Bound Conditions and the Linear Convergence Rate of the Alternating Direction Method of Multipliers

Yongchao Liu, Xiaoming Yuan, Shangzhi Zeng, 2018, SIAM J. Numer. Anal..

Block-wise Alternating Direction Method of Multipliers for Multiple-block Convex Programming and Beyond

Bingsheng He, Xiaoming Yuan, Xiaoming Yuan, 2015 .

Variational Analysis Perspective on Linear Convergence of Some First Order Methods for Nonsmooth Convex Optimization Problems

Jane J. Ye, Xiaoming Yuan, Shangzhi Zeng, 2021, Set-Valued and Variational Analysis.

Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis

Jin Zhang, Xiaoming Yuan, Shangzhi Zeng, 2020, J. Mach. Learn. Res..

Patterned Fabric Inspection and Visualization by the Method of Image Decomposition

Michael K. Ng, Xiaoming Yuan, Wenxing Zhang, 2014, IEEE Transactions on Automation Science and Engineering.

Computing the nearest Euclidean distance matrix with low embedding dimensions

Xiaoming Yuan, Houduo Qi, Xiaoming Yuan, 2014, Math. Program..

A Lagrangian Dual Approach to the Single-Source Localization Problem

Xiaoming Yuan, Naihua Xiu, Houduo Qi, 2013, IEEE Transactions on Signal Processing.

Task-Oriented Convex Bilevel Optimization With Latent Feasibility

Risheng Liu, Shangzhi Zeng, Jin Zhang, 2019, IEEE Transactions on Image Processing.

Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization

Xiaoming Yuan, Min Tao, M. Tao, 2016, Adv. Comput. Math..

Convergence Analysis of Douglas-Rachford Splitting Method for "Strongly + Weakly" Convex Programming

Xiaoming Yuan, Deren Han, Ke Guo, 2017, SIAM J. Numer. Anal..

Alternating Direction Methods for Sparse Covariance Selection *

Xiaoming Yuan, X. Yuan, 2009 .

Efficient neural networks for solving variational inequalities

Xiaoming Yuan, Deren Han, Suoliang Jiang, 2012, Neurocomputing.

Bilevel Integrative Optimization for Ill-posed Inverse Problems pdf

Xiaoming Yuan, Long Ma, Risheng Liu, 2019, ArXiv.

Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems

Yongcun Song, Hangrui Yue, X. Yuan, 2023, 2307.00296.

Alternating Direction Method of Multipliers for Linear Programming

Xiaoming Yuan, B. He, X. Yuan, 2016, Journal of the Operations Research Society of China.

Fast minimization methods for solving constrained total-variation superresolution image reconstruction

Michael K. Ng, Xiaoming Yuan, Fan Wang, 2011, Multidimens. Syst. Signal Process..

Adaptive Consensus ADMM for Distributed Optimization pdf

Zheng Xu, Xiaoming Yuan, Tom Goldstein, 2017, ICML.

A Barzilai-Borwein-based heuristic algorithm for locating multiple facilities with regional demand

Xiaoming Yuan, X. Yuan, Jianlin Jiang, 2012, Comput. Optim. Appl..