Xin-Wei Liu

According to our database, Xin-Wei Liu authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming.

Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai

Comput. Optim. Appl., May, 2024

2023

A Robust Fixed-Time Piecewise Dynamic Network for Convex Programming.

Dan Wang, Huiyun Li, Xin-Wei Liu

Neural Process. Lett., December, 2023

IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming.

Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai

J. Glob. Optim., November, 2023

A varying-parameter fixed-time gradient-based dynamic network for convex optimization.

Dan Wang, Xin-Wei Liu

Neural Networks, October, 2023

2022

A primal-dual interior-point relaxation method with global and rapidly local convergence for nonlinear programs.

Xin-Wei Liu, Yu-Hong Dai, Yakui Huang

Math. Methods Oper. Res., 2022

A gradient-type noise-tolerant finite-time neural network for convex optimization.

Dan Wang, Xin-Wei Liu

Neurocomputing, 2022

On the acceleration of the Barzilai-Borwein method.

Yakui Huang, Yu-Hong Dai, Xin-Wei Liu, Hongchao Zhang

Comput. Optim. Appl., 2022

Achieving geometric convergence for distributed optimization with Barzilai-Borwein step sizes.

Juan Gao, Xin-Wei Liu, Yu-Hong Dai, Yakui Huang, Peng Yang

Sci. China Inf. Sci., 2022