Twin Support Vector Machine With Local Structural Information for Pattern Classification. - Maoxiang Chu; Liming Liu; Yonghui Yang; Rongfen Gong (IEEE Access, 2018)

A nonparallel support vector machine with pinball loss for pattern classification. - Liming Liu; Maoxiang Chu; Rongfen Gong; Xinyu Qi (J. Intell. Fuzzy Syst., 2020)

Twin support vector machine based on adjustable large margin distribution for pattern classification. - Liming Liu; Maoxiang Chu; Yonghui Yang; Rongfen Gong (Int. J. Mach. Learn. Cybern., 2020)

Nonparallel support vector machine with large margin distribution for pattern classification. - Liming Liu; Maoxiang Chu; Rongfen Gong; Yongcheng Peng (Pattern Recognit., 2020)

An Improved Nonparallel Support Vector Machine. - Liming Liu; Maoxiang Chu; Rongfen Gong; Li Zhang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Nonparallel Support Vector Machine with L2-norm Loss and its DCD-type Solver. - Liming Liu; Ping Li 052; Maoxiang Chu; Rongfen Gong (Neural Process. Lett., 2023)

Simpler large margin distribution machine via weighted linear loss for large-scale classification. - Maoxiang Chu; Liming Liu; Ling Liu; Rongfen Gong (Int. J. Mach. Learn. Cybern., 2024)

Global attention module and cascade fusion network for steel surface defect detection. - Guanghu Liu; Maoxiang Chu; Rongfen Gong; Zehao Zheng (Pattern Recognit., 2025)

TSAFM-Net: template-based spatial deformation perception alignment and feature vector matching network for PCB component detection. - Zhihan Sun; Rongfen Gong; Maoxiang Chu; Guanghu Liu (Signal Image Video Process., 2025)

Semi-SSDDet: An adaptive semi-supervised steel surface defect detection. - Guanghu Liu; Maoxiang Chu; Rongfen Gong (Signal Image Video Process., 2025)