| Stochastic quasi-Newton methods for nonconvex stochastic optimization X Wang, S Ma, D Goldfarb, W Liu SIAM Journal on Optimization 27 (2), 927-956, 2017 | 204 | 2017 |
| Regularized discriminative spectral regression method for heterogeneous face matching X Huang, Z Lei, M Fan, X Wang, SZ Li IEEE Transactions on Image Processing 22 (1), 353-362, 2012 | 90 | 2012 |
| On the convergence of the self-consistent field iteration in Kohn--Sham density functional theory X Liu, X Wang, Z Wen, Y Yuan SIAM Journal on Matrix Analysis and Applications 35 (2), 546-558, 2014 | 62 | 2014 |
| On the analysis of the discretized Kohn--Sham density functional theory X Liu, Z Wen, X Wang, M Ulbrich, Y Yuan SIAM Journal on Numerical Analysis 53 (4), 1758-1785, 2015 | 40 | 2015 |
| Stochastic proximal quasi-Newton methods for non-convex composite optimization X Wang, X Wang, Y Yuan Optimization Methods and Software 34 (5), 922-948, 2019 | 28 | 2019 |
| Penalty methods with stochastic approximation for stochastic nonlinear programming X Wang, S Ma, Y Yuan Mathematics of Computation 86 (306), 1793-1820, 2017 | 27 | 2017 |
| An augmented Lagrangian trust region method for equality constrained optimization X Wang, Y Yuan Optimization Methods and Software 30 (3), 559-582, 2015 | 24 | 2015 |
| A trust region method based on a new affine scaling technique for simple bounded optimization X Wang, YX Yuan Optimization Methods and Software 28 (4), 871-888, 2013 | 22 | 2013 |
| Inexact proximal stochastic gradient method for convex composite optimization X Wang, S Wang, H Zhang Computational Optimization and Applications 68 (3), 579-618, 2017 | 17 | 2017 |
| A linearly convergent stochastic recursive gradient method for convex optimization Y Liu, X Wang, T Guo Optimization Letters 14, 2265-2283, 2020 | 12 | 2020 |
| An augmented Lagrangian affine scaling method for nonlinear programming X Wang, H Zhang Optimization Methods and Software 30 (5), 934-964, 2015 | 10 | 2015 |
| A stochastic primal-dual method for a class of nonconvex constrained optimization L Jin, X Wang Computational Optimization and Applications, 2022 | 7 | 2022 |
| A penalty relaxation method for image processing using Euler's Elastica Model F He, X Wang, X Chen SIAM Journal on Imaging Sciences 14 (1), 389-417, 2021 | 5 | 2021 |
| Inexact proximal stochastic second-order methods for nonconvex composite optimization X Wang, H Zhang Optimization Methods and Software 35 (4), 808-835, 2020 | 4 | 2020 |
| Preconditioned primal-dual gradient methods for nonconvex composite and finite-sum optimization J Guo, X Wang, X Xiao | 3 | 2023 |
| A trust region affine scaling method for bound constrained optimization X Wang Acta Mathematica Sinica, English Series 29 (1), 159-182, 2013 | 3 | 2013 |
| A momentum-based linearized augmented Lagrangian method for nonconvex constrained stochastic optimization Q Shi, X Wang, H Wang | 2 | 2022 |
| An interior stochastic gradient method for a class of non-Lipschitz optimization problems W Cheng, X Wang, X Chen Journal of Scientific Computing, 2022 | 2 | 2022 |
| Stochastic nested primal-dual method for nonconvex constrained composition optimization L Jin, X Wang Mathematics of Computation, 2024 | 1 | 2024 |
| Stochastic regularized Newton methods for nonlinear equations J Wang, X Wang, L Zhang Journal of Scientific Computing, 2023 | 1 | 2023 |
