Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization Y Shen, Z Wen, Y Zhang Taylor & Francis, 2012 | 343 | 2012 |

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 | 70 | 2013 |

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 | 14 | 2012 |

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 | 11 | 2021 |

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 | 10 | 2022 |

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 | 9 | 2021 |

An alternating minimization method for robust principal component analysis Y Shen, H Xu, X Liu Optimization Methods and Software 34 (6), 1251-1276, 2019 | 9 | 2019 |

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 | 9 | 2014 |

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 | 6 | 2014 |

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 | 5 | 2022 |

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 | 4 | 2021 |

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 | 3 | 2021 |

A partial PPa S-ADMM for multi-block for separable convex optimization with linear constraints Y Shen, Y Zuo, A Yu Optimization online, 2020 | 3 | 2020 |

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 | 3 | 2016 |

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 | 2 | 2023 |

An alternating minimization method for matrix completion problems. Y Shen, X Liu Discrete & Continuous Dynamical Systems-Series S 13 (6), 2020 | 1 | 2020 |

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 | 1 | 2019 |

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 |