Xiantao Xiao

21 papers Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Two-phase Stochastic Momentum-Based Algorithm for Nonconvex Expectation-Constrained Optimization.
J. Sci. Comput.
Yawen Cui, Xiao Wang, Xiantao Xiao
2023 J jnl
A proximal bundle method-based algorithm with penalty strategy and inexact oracles for constrained nonsmooth nonconvex optimization.
J. Comput. Appl. Math.
Xiaoliang Wang, Li-Ping Pang, Xiantao Xiao
2023 J jnl
A stochastic approximation method for convex programming with many semidefinite constraints.
Optim. Methods Softw.
Li-Ping Pang, Ming-Kun Zhang, Xiantao Xiao
2023 J jnl
Convergence analysis of a subsampled Levenberg-Marquardt algorithm.
Oper. Res. Lett.
Ganchen Xing, Jian Gu, Xiantao Xiao
2023 J jnl
Regrets of proximal method of multipliers for online non-convex optimization with long term constraints.
J. Glob. Optim.
Liwei Zhang, Haoyang Liu, Xiantao Xiao
2023 J jnl
Stochastic Approximation Proximal Method of Multipliers for Convex Stochastic Programming.
Math. Oper. Res.
Liwei Zhang, Yule Zhang, Xiantao Xiao, Jia Wu
2022 J jnl
A unified analysis of stochastic gradient-free Frank-Wolfe methods.
Int. Trans. Oper. Res.
Jiahong Guo, Huiling Liu, Xiantao Xiao
2022 J jnl
Author-level altmetrics for the evaluation of Chinese scholars.
Scientometrics
Ying Guo, Xiantao Xiao
2022 J jnl
Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm.
INFORMS J. Comput.
Liwei Zhang, Yule Zhang, Jia Wu, Xiantao Xiao
2021 J jnl
A Unified Convergence Analysis of Stochastic Bregman Proximal Gradient and Extragradient Methods.
J. Optim. Theory Appl.
Xiantao Xiao
2019 J jnl
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization.
SIAM J. Optim.
Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich
2018 J jnl
A Regularized Semi-Smooth Newton Method with Projection Steps for Composite Convex Programs.
J. Sci. Comput.
Xiantao Xiao, Yongfeng Li, Zaiwen Wen, Liwei Zhang
2018 J jnl
A note on distributionally robust optimization under moment uncertainty.
J. Num. Math.
Qiang Liu, Jia Wu, Xiantao Xiao, Liwei Zhang
2014 J jnl
A Smoothing Function Approach to Joint Chance-Constrained Programs.
J. Optim. Theory Appl.
Feng Shan, Liwei Zhang, Xiantao Xiao
2011 J jnl
A class of nonlinear Lagrangians for nonconvex second order cone programming.
Comput. Optim. Appl.
Liwei Zhang, Jian Gu, Xiantao Xiao
2011 J jnl
A perturbation approach for a type of inverse linear programming problems.
Int. J. Comput. Math.
Yong Jiang, Xiantao Xiao, Liwei Zhang, Jianzhong Zhang
2010 J jnl
A Perturbation approach for an inverse quadratic programming problem.
Math. Methods Oper. Res.
Jianzhong Zhang, Liwei Zhang, Xiantao Xiao
2008 J jnl
A Class of Nonlinear Lagrangians: Theory and Algorithm.
Asia Pac. J. Oper. Res.
Li-Wei Zhang, Yong-Hong Ren, Yue Wu, Xiantao Xiao
2007 J jnl
A nonlinear Lagrangian based on Fischer-Burmeister NCP function.
Appl. Math. Comput.
Yong-Hong Ren, Li-Wei Zhang, Xiantao Xiao
2007 J jnl
Two differential equation systems for equality-constrained optimization.
Appl. Math. Comput.
Li Jin, Li-Wei Zhang, Xiantao Xiao
2007 J jnl
Two differential equation systems for inequality constrained optimization.
Appl. Math. Comput.
Li Jin, Li-Wei Zhang, Xiantao Xiao