Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization Y Shen, Z Wen, Y Zhang Taylor & Francis, 2012 | 283 | 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, 2013 | 45 | 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 | 11 | 2012 |

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 | 7 | 2014 |

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 | 6 | 2021 |

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), 743, 2014 | 4 | 2014 |

An alternating minimization method for robust principal component analysis Y Shen, H Xu, X Liu Optimization Methods and Software 34 (6), 1251-1276, 2019 | 2 | 2019 |

A Partial PPa S-ADMM for Multi-Block for Separable Convex Optimization with Linear Constraints Y Shen, Y Zuo, A Yu Optimization online, 2020 | 1 | 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 (1), 251-261, 2016 | 1 | 2016 |

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 | | 2021 |

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 | | 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 (1), 87-124, 2021 | | 2021 |

An alternating minimization method for matrix completion problems Y Shen, X Liu Discrete & Continuous Dynamical Systems-S 13 (6), 1757, 2020 | | 2020 |

Partial convolution for total variation deblurring and denoising by new linearized alternating direction method of multipliers with extension step Y Shen, L Ji Journal of Industrial & Management Optimization 15 (1), 159, 2019 | | 2019 |

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 |

一些求解结构型优化的一阶算法 申远 南京大学, 2012 | | 2012 |

凸二次规划梯度类算法中步长对收敛速度的影响 何炳生， 崔睿赟， 李敏， 申远， 徐明华， 袁晓明 | | 2008 |

对偶二分单纯形算法 申远， 潘平奇 中国运筹学会第八届学术交流会论文集, 2006 | | 2006 |

A Modified Proximal Symmetric ADMM for Multi-Block Separable Convex Optimization with Linear Constraints Y Shen, Y Zuo, X Zhang | | |

A New Sequential Updating Scheme of the Lagrange Multiplier for Multi-Block Linearly Constrained Separable Convex Optimization with Relaxed Step Sizes Y Shen, Y Zuo, X Zhang | | |