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Yuan Shen
Yuan Shen
Doctor of Mathematics, Nanjing University of Finance & Economics
Verified email at njue.edu.cn
Title
Cited by
Cited by
Year
Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization
Y Shen, Z Wen, Y Zhang
Taylor & Francis, 2012
3432012
On the convergence analysis of the alternating direction method of multipliers with three blocks
C Chen, Y Shen, Y You
Abstract and Applied Analysis 2013 (1), 183961, 2013
702013
On the convergence rate of customized proximal point algorithm for convex optimization and saddle-point problem (in Chinese)
B He, Y Shen
Sci Sin Math 42 (5), 515--525, 2012
142012
A partially proximal S-ADMM for separable convex optimization with linear constraints
Y Shen, Y Zuo, A Yu
Applied Numerical Mathematics 160, 65-83, 2021
112021
A multi-parameter parallel ADMM for multi-block linearly constrained separable convex optimization
Y Shen, Q Gao, X Yin
Applied Numerical Mathematics 171, 369-388, 2022
102022
A partial PPA block-wise ADMM for multi-block linearly constrained separable convex optimization
Y Shen, X Zhang, X Zhang
Optimization 70 (3), 631-657, 2021
92021
An alternating minimization method for robust principal component analysis
Y Shen, H Xu, X Liu
Optimization Methods and Software 34 (6), 1251-1276, 2019
92019
On the O (1/t) convergence rate of Ye–Yuan’s modified alternating direction method of multipliers
Y Shen, M Xu
Applied Mathematics and Computation 226, 367-373, 2014
92014
RELAXED AUGMENTED LAGRANGIAN-BASED PROXIMAL POINT ALGORITHMS FOR CONVEX OPTIMIZATION WITH LINEAR CONSTRAINTS.
Y Shen, W Zhang, B He
Journal of Industrial & Management Optimization 10 (3), 2014
62014
Modified proximal symmetric ADMMs for multi-block separable convex optimization with linear constraints
Y Shen, Y Zuo, L Sun, X Zhang
Analysis and Applications 20 (03), 401-428, 2022
52022
A faster generalized ADMM-based algorithm using a sequential updating scheme with relaxed step sizes for multiple-block linearly constrained separable convex programming
Y Shen, Y Zuo, X Zhang
Journal of Computational and Applied Mathematics 393, 113503, 2021
42021
Convergence study on strictly contractive Peaceman–Rachford splitting method for nonseparable convex minimization models with quadratic coupling terms
P Li, Y Shen, S Jiang, Z Liu, C Chen
Computational Optimization and Applications 78, 87-124, 2021
32021
A partial PPa S-ADMM for multi-block for separable convex optimization with linear constraints
Y Shen, Y Zuo, A Yu
Optimization online, 2020
32020
New augmented Lagrangian-based proximal point algorithm for convex optimization with equality constraints
Y Shen, H Wang
Journal of Optimization Theory and Applications 171, 251-261, 2016
32016
A RELAXED PARAMETER CONDITION FOR THE PRIMAL-DUAL HYBRID GRADIENT METHOD FOR SADDLE-POINT PROBLEM.
X Zhang, Y Kong, S Liu, Y Shen
Journal of Industrial & Management Optimization 19 (3), 2023
22023
An alternating minimization method for matrix completion problems.
Y Shen, X Liu
Discrete & Continuous Dynamical Systems-Series S 13 (6), 2020
12020
Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step
Y Shen, L Ji
J. Ind. Manag. Optim 15, 159-175, 2019
12019
A modified self-adaptive dual ascent method with relaxed stepsize condition for linearly constrained quadratic convex optimization.
Y Shen, C Liu, Y Zuo, X Zhang
Journal of Industrial & Management Optimization 19 (5), 2023
2023
Trace minimization method via penalty for linear response eigenvalue problems.
Y Chen, Y Shen, S Liu
Journal of Industrial & Management Optimization 19 (1), 2023
2023
A Self-Adaptive Projection and Contraction Method for Optimizing the Sum of a Convex and a Quadratic Function
Y Shen, C Wang
Pacific Journal of Optimization 9 (1), 137-154, 2013
2013
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