Hanger Liu

According to our database, Hanger Liu authored at least 4 papers between 2022 and 2026.

Collaborative distances:

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

2026

SSR1M: A stochastic SR1 method with momentum acceleration for non-Convex optimization.

Jinlan Liu, Hanger Liu, Xin Deng, Dongpo Xu

Neural Networks, 2026

An efficient low-complexity stochastic BFGS algorithm using matrix diagonal approximations for nonconvex optimization in machine learning.

Hanger Liu, Jinlan Liu, Naimin Zhang, Dongpo Xu

J. Comput. Appl. Math., 2026

2025

A robust stochastic quasi-Newton algorithm for non-convex machine learning.

Hanger Liu, Yuqing Liang, Jinlan Liu, Dongpo Xu

Appl. Intell., May, 2025

2022

An Active Set Limited Memory BFGS Algorithm for Machine Learning.

Hanger Liu, Yan Li, Maojun Zhang

Symmetry, 2022