| A Newton-CG augmented Lagrangian method for semidefinite programming XY Zhao, D Sun, KC Toh SIAM Journal on Optimization 20 (4), 1737-1765, 2010 | 472 | 2010 |
| SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0) D Sun, KC Toh, Y Yuan, XY Zhao Optimization Methods and Software 35 (1), 87-115, 2020 | 91 | 2020 |
| Quadratic growth conditions for convex matrix optimization problems associated with spectral functions Y Cui, C Ding, X Zhao SIAM Journal on Optimization 27 (4), 2332-2355, 2017 | 42 | 2017 |
| A hybrid evolutionary algorithm for multiobjective sparse reconstruction B Yan, Q Zhao, Z Wang, X Zhao Signal, Image and Video Processing 11, 993-1000, 2017 | 18 | 2017 |
| Strong variational sufficiency for nonlinear semidefinite programming and its implications S Wang, C Ding, Y Zhang, X Zhao SIAM Journal on Optimization 33 (4), 2988-3011, 2023 | 10 | 2023 |
| Augmented Lagrangian methods for convex matrix optimization problems Y Cui, C Ding, XD Li, XY Zhao Journal of the Operations Research Society of China 10 (2), 305-342, 2022 | 9 | 2022 |
| THOR, trace-based hardware-driven layer-oriented natural gradient descent computation M Chen, K Gao, X Liu, Z Wang, N Ni, Q Zhang, L Chen, C Ding, Z Huang, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7046-7054, 2021 | 9 | 2021 |
| An accelerated proximal alternating direction method of multipliers for optimal decentralized control of uncertain systems B Yang, X Zhao, X Li, D Sun Journal of Optimization Theory and Applications 204 (1), 9, 2025 | 6 | 2025 |
| HPR-LP: An implementation of an HPR method for solving linear programming K Chen, D Sun, Y Yuan, G Zhang, X Zhao arXiv preprint arXiv:2408.12179, 2024 | 5 | 2024 |
| Accelerating preconditioned ADMM via degenerate proximal point mappings D Sun, Y Yuan, G Zhang, X Zhao arXiv preprint arXiv:2403.18618, 2024 | 5 | 2024 |
| A proximal DC approach for quadratic assignment problem Z Jiang, X Zhao, C Ding Computational Optimization and Applications 78, 825-851, 2021 | 5 | 2021 |
| A Newton-CG augmented Lagrangian method for semidefinite programming. Optimization online X Zhao, D Sun, KC Toh | 5 | 2008 |
| SDPNAL version 0.1–a MATLAB software for semidefinite programming based on a semi-smooth Newton-CG augmented Lagrangian method XY Zhao, DF Sun, KC Toh | 5 | |
| An improved approximation algorithm for the -catalog segmentation problem using semidefinite programming relaxation C Wu, D Xu, XY Zhao Journal of Industrial and Management Optimization 8 (1), 117-126, 2011 | 3 | 2011 |
| A primal-dual approximation algorithm for stochastic facility location problem with service installation costs X Wang, D Xu, X Zhao Front Math China 6, 957-964, 2011 | 3 | 2011 |
| Matrix optimization based Euclidean embedding with outliers Q Zhang, X Zhao, C Ding Computational Optimization and Applications 79 (2), 235-271, 2021 | 2 | 2021 |
| Unified convergence analysis of a second-order method of multipliers for nonlinear conic programming L Chen, J Zhu, X Zhao Science China Mathematics 65 (11), 2397-2422, 2022 | 1 | 2022 |
| The Linear and Asymptotically Superlinear Convergence Rates of the Augmented Lagrangian Method with a Practical Relative Error Criterion XY Zhao, L Chen Asia-Pacific Journal of Operational Research 37 (04), 2040001, 2020 | 1 | 2020 |
| A newton-cg augmented lagrangian method for convex quadratically constrained quadratic semidefinite programs XY Zhao, T Cai, D Xu Advances in Global Optimization, 337-345, 2015 | 1 | 2015 |
| Peaceman-Rachford Splitting Method Converges Ergodically for Solving Convex Optimization Problems K Chen, D Sun, Y Yuan, G Zhang, X Zhao arXiv preprint arXiv:2501.07807, 2025 | | 2025 |
