Structural least square twin support vector machine for classification. - Yitian Xu; Xianli Pan; Zhijian Zhou; Zhiji Yang; Yuqun Zhang (Appl. Intell., 2015)

Imbalanced and semi-supervised classification for prognosis of ACLF. - Yitian Xu; Yuqun Zhang; Zhiji Yang; Xianli Pan; Guohui Li (J. Intell. Fuzzy Syst., 2015)

ν-twin support vector machine with Universum data for classification. - Yitian Xu; Mei Chen; Zhiji Yang; Guohui Li (Appl. Intell., 2016)

Nonparallel least square support vector machine for classification. - Jiang Zhao; Zhiji Yang; Yitian Xu (Appl. Intell., 2016)

Laplacian twin parametric-margin support vector machine for semi-supervised classification. - Zhiji Yang; Yitian Xu (Neurocomputing, 2016)

A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. - Yitian Xu; Zhiji Yang; Yuqun Zhang; Xianli Pan; Laisheng Wang (Knowl. Based Syst., 2016)

A Novel Twin Support-Vector Machine With Pinball Loss. - Yitian Xu; Zhiji Yang; Xianli Pan (IEEE Trans. Neural Networks Learn. Syst., 2017)

A safe screening rule for Laplacian support vector machine. - Zhiji Yang; Yitian Xu (Eng. Appl. Artif. Intell., 2018)

Piecewise linear solution path for pinball twin support vector machine. - Zhiji Yang; Xianli Pan; Yitian Xu (Knowl. Based Syst., 2018)

A safe accelerative approach for pinball support vector machine classifier. - Zhiji Yang; Yitian Xu (Knowl. Based Syst., 2018)

Asymmetric ν-twin support vector regression. - Yitian Xu; Xiaoyan Li; Xianli Pan; Zhiji Yang (Neural Comput. Appl., 2018)

A safe sample screening rule for Laplacian twin parametric-margin support vector machine. - Zhiji Yang; Yitian Xu (Pattern Recognit., 2018)

Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. - Xianli Pan; Zhiji Yang; Yitian Xu; Laisheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2018)

KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification. - Yitian Xu; Yuqun Zhang; Jiang Zhao; Zhiji Yang; Xianli Pan (Int. J. Mach. Learn. Cybern., 2019)

Machine learning method to explore the process conditions of ethanol catalytic coupling to prepare C4 olefins. - Wenmin Liu; Xingkai Wen; Yishan Qian; Zhiji Yang (CAIBDA, 2022)

Deep Twin Support Vector Networks. - Mingchen Li; Zhiji Yang (CICAI (3), 2022)

Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data. - Jianhua Zhao; Haiye Liang; Shulan Li; Zhiji Yang; Zhen Wang (CoRR, 2022)

A Complete Deep Support Vector Data Description for One Class Learning. - Renxue Jiang; Zhiji Yang; Jianhua Zhao (IEEE Access, 2023)

A safe screening rule with bi-level optimization of ν support vector machine. - Zhiji Yang; Wanyi Chen; Huan Zhang; Yitian Xu; Lei Shi 004; Jianhua Zhao (Pattern Recognit., 2024)

Matrix-based vs. vector-based linear discriminant analysis: A comparison of regularized variants on multivariate time series data. - Jianhua Zhao; Haiye Liang; Shulan Li; Zhiji Yang; Zhen Wang (Inf. Sci., 2024)