| 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 | 525 | 2011 |
| 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 | 429 | 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 | 232 | 2013 |
| Alternating direction algorithms for total variation deconvolution in image reconstruction M Tao, J Yang, B He TR0918, Department of Mathematics, Nanjing University, 2009 | 156 | 2009 |
| A splitting method for separable convex programming B He, M Tao, X Yuan IMA Journal of Numerical Analysis 35 (1), 394-426, 2015 | 138 | 2015 |
| An alternating direction-based contraction method for linearly constrained separable convex programming problems B He, M Tao, M Xu, X Yuan Optimization 62 (4), 573-596, 2013 | 71 | 2013 |
| Limited-Angle CT Reconstruction via the Minimization C Wang, M Tao, JG Nagy, Y Lou SIAM Journal on Imaging Sciences 14 (2), 749-777, 2021 | 57 | 2021 |
| Convergence rate analysis for the alternating direction method of multipliers with a substitution procedure for separable convex programming B He, M Tao, X Yuan Mathematics of Operations Research 42 (3), 662-691, 2017 | 47* | 2017 |
| On the Convergence Rate of Alternating Direction Method with Logarithmic-Quadratic Proximal Regularization M Tao, X Yuan SIAM Journal on Optimization 22 (4), 1431-1448, 2012 | 44 | 2012 |
| Minimization of Over for Sparse Signal Recovery with Convergence Guarantee M Tao SIAM Journal on Scientific Computing 44 (2), A770-A797, 2022 | 30 | 2022 |
| Decomposition methods for computing directional stationary solutions of a class of nonsmooth nonconvex optimization problems JS Pang, M Tao SIAM Journal on Optimization 28 (2), 1640-1669, 2018 | 28 | 2018 |
| Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization M Tao, X Yuan Advances in Computational Mathematics 44, 773-813, 2018 | 26 | 2018 |
| An inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures M Tao, X Yuan Computational Optimization and Applications 52, 439-461, 2012 | 25 | 2012 |
| Linearized alternating direction method of multipliers for constrained linear least-squares problem RH Chan, M Tao, X Yuan East Asian Journal on Applied Mathematics 2 (4), 326-341, 2012 | 24 | 2012 |
| On Glowinski’s open question on the alternating direction method of multipliers M Tao, X Yuan Journal of Optimization Theory and Applications 179, 163-196, 2018 | 19 | 2018 |
| Minimizing L 1 over L 2 norms on the gradient C Wang, M Tao, CN Chuah, J Nagy, Y Lou Inverse problems 38 (6), 065011, 2022 | 18 | 2022 |
| Convergence study of indefinite proximal ADMM with a relaxation factor M Tao Computational Optimization and Applications 77 (1), 91-123, 2020 | 18 | 2020 |
| Rigorous convergence analysis of alternating variable minimization with multiplier methods for quadratic programming problems with equality constraints ZZ Bai, M Tao BIT Numerical Mathematics 56 (2), 399-422, 2016 | 16 | 2016 |
| Unorganized malicious attacks detection M Pang, W Gao, M Tao, ZH Zhou Advances in Neural Information Processing Systems 31, 2018 | 15 | 2018 |
| On the linear convergence to weak/standard d-stationary points of DCA-based algorithms for structured nonsmooth DC programming H Dong, M Tao Journal of Optimization Theory and Applications 189 (1), 190-220, 2021 | 12 | 2021 |
Xiaoming YuanThe University of Hong KongVerified email at hku.hk