Hezhi Luo

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 12

Top Topics

Semidefinite Programming

Top Venues

Comput. Optim. Appl.

J. Optim. Theory Appl.

J. Glob. Optim.

IEEE Internet Things J.

Publications

Qi Zhang, Weiqiang Xu, Hezhi Luo, Shuyun Luo
Fast Globally Optimal Computational Offloading and Service Caching in Container-Based Edge Computing Systems. IEEE Internet Things J. 11 (13) (2024)
Huixian Wu, Hezhi Luo, Xianye Zhang, Haiqiang Qi
An effective global algorithm for worst-case linear optimization under polyhedral uncertainty. J. Glob. Optim. 87 (1) (2023)
Hezhi Luo, Xianye Zhang, Huixian Wu, Weiqiang Xu
Effective algorithms for separable nonconvex quadratic programming with one quadratic and box constraints. Comput. Optim. Appl. 86 (1) (2023)
Huixian Wu, Hezhi Luo, Xianye Zhang, Jianzhen Liu
A new global algorithm for factor-risk-constrained mean-variance portfolio selection. J. Glob. Optim. 87 (2) (2023)
Xiaodong Ding, Hezhi Luo, Huixian Wu, Jianzhen Liu
An efficient global algorithm for worst-case linear optimization under uncertainties based on nonlinear semidefinite relaxation. Comput. Optim. Appl. 80 (1) (2021)
Huixian Wu, Hezhi Luo, Fangying Zheng, Jianfang Yang
Convergence analysis of modified pth power Lagrangian algorithms with alternative updating strategies for constrained nonconvex optimization. J. Comput. Appl. Math. 396 (2021)
Hezhi Luo, Sikai Chen, Huixian Wu
A new branch-and-cut algorithm for non-convex quadratic programming via alternative direction method and semidefinite relaxation. Numer. Algorithms 88 (2) (2021)
Hezhi Luo, Xiaodong Ding, Jiming Peng, Rujun Jiang, Duan Li
Complexity Results and Effective Algorithms for Worst-Case Linear Optimization Under Uncertainties. INFORMS J. Comput. 33 (1) (2021)
Hezhi Luo, Xiaodi Bai, Gino Lim, Jiming Peng
New global algorithms for quadratic programming with a few negative eigenvalues based on alternative direction method and convex relaxation. Math. Program. Comput. 11 (1) (2019)
Hezhi Luo, Xiaodi Bai, Jiming Peng
Enhancing Semidefinite Relaxation for Quadratically Constrained Quadratic Programming via Penalty Methods. J. Optim. Theory Appl. 180 (3) (2019)
Jiming Peng, Tao Zhu, Hezhi Luo, Kim-Chuan Toh
Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting. Comput. Optim. Appl. 60 (1) (2015)
Hezhi Luo, Huixian Wu, Jianzhen Liu
On Saddle Points in Semidefinite Optimization via Separation Scheme. J. Optim. Theory Appl. 165 (1) (2015)
Huixian Wu, Hezhi Luo, Xiaodong Ding, Guanting Chen
Global convergence of modified augmented Lagrangian methods for nonlinear semidefinite programming. Comput. Optim. Appl. 56 (3) (2013)
Hezhi Luo, Huixian Wu, Jianzhen Liu
Some Results on Augmented Lagrangians in Constrained Global Optimization via Image Space Analysis. J. Optim. Theory Appl. 159 (2) (2013)
Hezhi Luo, Xiaoling Sun, Huixian Wu
Convergence properties of augmented Lagrangian methods for constrained global optimization. Optim. Methods Softw. 23 (5) (2008)
Huixian Wu, Hezhi Luo
-Properly Prequasi-Invex Function. J. Syst. Sci. Complex. 20 (4) (2007)