| A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs X Xiao, Y Li, Z Wen, L Zhang Journal of Scientific Computing 76 (1), 364-389, 2018 | 78 | 2018 |
| A stochastic semismooth Newton method for nonsmooth nonconvex optimization A Milzarek, X Xiao, S Cen, Z Wen, M Ulbrich SIAM Journal on Optimization 29 (4), 2916-2948, 2019 | 40 | 2019 |
| An algorithm based on resolvent operators for solving variational inequalities in Hilbert spaces J Sun, L Zhang, X Xiao Nonlinear Analysis: Theory, Methods & Applications 69 (10), 3344-3357, 2008 | 39 | 2008 |
| A smoothing function approach to joint chance-constrained programs F Shan, L Zhang, X Xiao Journal of Optimization Theory and Applications 163, 181-199, 2014 | 31 | 2014 |
| Optimal road congestion pricing for both traffic efficiency and safety under demand uncertainty S Zhong, X Xiao, M Bushell, H Sun Journal of Transportation Engineering, Part A: Systems 143 (4), 04017004, 2017 | 20 | 2017 |
| A parameter-self-adjusting Levenberg-Marquardt method for solving nonsmooth equations L Qi, X Xiao, L Zhang Journal of Computational Mathematics, 317-338, 2016 | 19 | 2016 |
| A smoothing Newton method for a type of inverse semi-definite quadratic programming problem X Xiao, L Zhang, J Zhang Journal of Computational and Applied Mathematics 223 (1), 485-498, 2009 | 19 | 2009 |
| On the second-order directional derivatives of singular values of matrices and symmetric matrix-valued functions L Zhang, N Zhang, X Xiao Set-Valued and Variational Analysis 21 (3), 557-586, 2013 | 18 | 2013 |
| Two differential equation systems for equality-constrained optimization L Jin, LW Zhang, XT Xiao Applied mathematics and computation 190 (2), 1030-1039, 2007 | 18 | 2007 |
| A perturbation approach for an inverse quadratic programming problem J Zhang, L Zhang, X Xiao Mathematical Methods of Operations Research 72, 379-404, 2010 | 17 | 2010 |
| An efficient block-based heuristic method for stowage planning of large containerships with crane split consideration X Xiao, MYH Low, F Liu, SY Huang, WJ Hsu, Z Li Proceedings of the International Conference on Harbour, Maritime …, 2009 | 14 | 2009 |
| A class of nonlinear Lagrangians for nonconvex second order cone programming L Zhang, J Gu, X Xiao Computational Optimization and Applications 49 (1), 61-99, 2011 | 12 | 2011 |
| A perturbation approach for a type of inverse linear programming problems Y Jiang, X Xiao, L Zhang, J Zhang International Journal of Computer Mathematics 88 (3), 508-516, 2011 | 12 | 2011 |
| On convergence of augmented Lagrangian method for inverse semi-definite quadratic programmingproblems X Xiao, L Zhang, J Zhang Journal of Industrial and Management Optimization 5 (2), 319-339, 2009 | 11 | 2009 |
| Solving stochastic optimization with expectation constraints efficiently by a stochastic augmented lagrangian-type algorithm L Zhang, Y Zhang, J Wu, X Xiao INFORMS Journal on Computing 34 (6), 2989-3006, 2022 | 10 | 2022 |
| A unified convergence analysis of stochastic Bregman proximal gradient and extragradient methods X Xiao Journal of optimization theory and applications 188 (3), 605-627, 2021 | 10 | 2021 |
| A sequential convex program method to DC program with joint chance constraints X Xiao, J Gu, L Zhang, S Zhang Journal of Industrial and Management Optimization 8 (3), 733-747, 2012 | 10 | 2012 |
| Solving a class of inverse QP problems by a smoothing Newton method X Xiao, L Zhang Journal of Computational Mathematics, 787-801, 2009 | 10 | 2009 |
| Stochastic approximation proximal method of multipliers for convex stochastic programming L Zhang, Y Zhang, X Xiao, J Wu Mathematics of Operations Research 48 (1), 177-193, 2023 | 9 | 2023 |
| Penalized stochastic gradient methods for stochastic convex optimization with expectation constraints X Xiao Optimization-online, 2019 | 9 | 2019 |
