Xiaokai Chang

Orcid: 0000-0003-0337-2910

According to our database1, Xiaokai Chang authored at least 16 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Golden Ratio Primal-Dual Algorithm with Linesearch.
SIAM J. Optim., 2022

An inertial subgradient extragradient algorithm with adaptive stepsizes for variational inequality problems.
Optim. Methods Softw., 2022

GRPDA Revisited: Relaxed Condition and Connection to Chambolle-Pock's Primal-Dual Algorithm.
J. Sci. Comput., 2022

2021
A Golden Ratio Primal-Dual Algorithm for Structured Convex Optimization.
J. Sci. Comput., 2021

A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities.
J. Optim. Theory Appl., 2021

Extragradient method and golden ratio method for equilibrium problems on Hadamard manifolds.
Int. J. Comput. Math., 2021

2020
Improvement and queuing analysis of the handover mechanism in the high-speed railway communication.
Telecommun. Syst., 2020

A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond.
Asia Pac. J. Oper. Res., 2020

Throughput and Energy Efficiency of Cooperative ARQ Strategies for VANETs Based on Hybrid Vehicle Communication Mode.
IEEE Access, 2020

2019
A generalization of linearized alternating direction method of multipliers for solving two-block separable convex programming.
J. Comput. Appl. Math., 2019

Convergence Revisit on Generalized Symmetric ADMM.
CoRR, 2019

A Family of Multi-Parameterized Proximal Point Algorithms.
IEEE Access, 2019

2018
Convergent prediction-correction-based ADMM for multi-block separable convex programming.
J. Comput. Appl. Math., 2018

2017
A feasible method for sensor network localization.
Optim. Methods Softw., 2017

2016
Modified alternating direction method of multipliers for convex quadratic semidefinite programming.
Neurocomputing, 2016

2014
Parallel Implementation of Feasible Direction Algorithm for Large-Scale Sensor Network Location Problems.
Proceedings of the IEEE 12th International Conference on Dependable, 2014


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