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2020 – today
- 2023
[j20]Xiaoliang Wang
, Li-Ping Pang, Xiantao Xiao:
A proximal bundle method-based algorithm with penalty strategy and inexact oracles for constrained nonsmooth nonconvex optimization. J. Comput. Appl. Math. 422: 114949 (2023)- [j19]Liwei Zhang, Haoyang Liu, Xiantao Xiao:
Regrets of proximal method of multipliers for online non-convex optimization with long term constraints. J. Glob. Optim. 85(1): 61-80 (2023) - [j18]Liwei Zhang, Yule Zhang, Xiantao Xiao, Jia Wu:
Stochastic Approximation Proximal Method of Multipliers for Convex Stochastic Programming. Math. Oper. Res. 48(1): 177-193 (2023) - [j17]Li-Ping Pang, Ming-Kun Zhang, Xiantao Xiao:
A stochastic approximation method for convex programming with many semidefinite constraints. Optim. Methods Softw. 38(1): 34-58 (2023) - [j16]Ganchen Xing, Jian Gu, Xiantao Xiao:
Convergence analysis of a subsampled Levenberg-Marquardt algorithm. Oper. Res. Lett. 51(4): 379-384 (2023) - 2022
- [j15]Liwei Zhang, Yule Zhang, Jia Wu, Xiantao Xiao:
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm. INFORMS J. Comput. 34(6): 2989-3006 (2022) - [j14]Jiahong Guo, Huiling Liu, Xiantao Xiao:
A unified analysis of stochastic gradient-free Frank-Wolfe methods. Int. Trans. Oper. Res. 29(1): 63-86 (2022) - [j13]Ying Guo, Xiantao Xiao:
Author-level altmetrics for the evaluation of Chinese scholars. Scientometrics 127(2): 973-990 (2022) - 2021
- [j12]Xiantao Xiao:
A Unified Convergence Analysis of Stochastic Bregman Proximal Gradient and Extragradient Methods. J. Optim. Theory Appl. 188(3): 605-627 (2021)
2010 – 2019
- 2019
- [j11]Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich:
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. 29(4): 2916-2948 (2019) - 2018
- [j10]Qiang Liu, Jia Wu, Xiantao Xiao, Liwei Zhang:
A note on distributionally robust optimization under moment uncertainty. J. Num. Math. 26(3): 141-150 (2018) - [j9]Xiantao Xiao, Yongfeng Li, Zaiwen Wen, Liwei Zhang:
A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs. J. Sci. Comput. 76(1): 364-389 (2018) - 2014
- [j8]Feng Shan, Liwei Zhang, Xiantao Xiao:
A Smoothing Function Approach to Joint Chance-Constrained Programs. J. Optim. Theory Appl. 163(1): 181-199 (2014) - 2011
- [j7]Liwei Zhang, Jian Gu, Xiantao Xiao:
A class of nonlinear Lagrangians for nonconvex second order cone programming. Comput. Optim. Appl. 49(1): 61-99 (2011) - [j6]Yong Jiang, Xiantao Xiao, Liwei Zhang, Jianzhong Zhang:
A perturbation approach for a type of inverse linear programming problems. Int. J. Comput. Math. 88(3): 508-516 (2011) - 2010
- [j5]Jianzhong Zhang, Liwei Zhang, Xiantao Xiao:
A Perturbation approach for an inverse quadratic programming problem. Math. Methods Oper. Res. 72(3): 379-404 (2010)
2000 – 2009
- 2008
- [j4]Li-Wei Zhang, Yong-Hong Ren, Yue Wu, Xiantao Xiao:
A Class of Nonlinear Lagrangians: Theory and Algorithm. Asia Pac. J. Oper. Res. 25(3): 327-371 (2008) - 2007
- [j3]Li Jin, Li-Wei Zhang, Xiantao Xiao:
Two differential equation systems for inequality constrained optimization. Appl. Math. Comput. 188(2): 1334-1343 (2007) - [j2]Yong-Hong Ren, Li-Wei Zhang, Xiantao Xiao:
A nonlinear Lagrangian based on Fischer-Burmeister NCP function. Appl. Math. Comput. 188(2): 1344-1363 (2007) - [j1]Li Jin, Li-Wei Zhang, Xiantao Xiao:
Two differential equation systems for equality-constrained optimization. Appl. Math. Comput. 190(2): 1030-1039 (2007)
Coauthor Index
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