| 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 | 1173 | 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), 57-79, 2016 | 905 | 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 | 551 | 2011 |
| Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization J Yang, X Yuan Mathematics of computation 82 (281), 301-329, 2013 | 537 | 2013 |
| Sparse and low-rank matrix decomposition via alternating direction methods X Yuan, J Yang Pacific Journal of Optimization 9 (1), 167-180, 2013 | 537* | 2013 |
| 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 | 495 | 2012 |
| 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 | 483 | 2012 |
| On non-ergodic convergence rate of Douglas–Rachford alternating direction method of multipliers B He, X Yuan Numerische Mathematik 130 (3), 567-577, 2015 | 386 | 2015 |
| 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 | 358 | 2010 |
| A note on the alternating direction method of multipliers D Han, X Yuan Journal of Optimization Theory and Applications 155 (1), 227-238, 2012 | 301 | 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, 2015 | 258* | 2015 |
| Matrix completion via an alternating direction method C Chen, B He, X Yuan IMA Journal of Numerical Analysis 32 (1), 227-245, 2012 | 254 | 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 | 245 | 2013 |
| 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 | 227 | 2014 |
| Alternating direction method for covariance selection models X Yuan Journal of Scientific Computing 51 (2), 261-273, 2012 | 164* | 2012 |
| A generic first-order algorithmic framework for bi-level programming beyond lower-level singleton R Liu, P Mu, X Yuan, S Zeng, J Zhang International conference on machine learning, 6305-6315, 2020 | 159 | 2020 |
| 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 | 159 | 2004 |
| A splitting method for separable convex programming B He, M Tao, X Yuan IMA Journal of Numerical Analysis 35 (1), 394-426, 2015 | 158* | 2015 |
| 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 | 157 | 2015 |
| 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 | 155* | 2017 |
