ℓ1 Major Component Detection and Analysis (ℓ1 MCDA) in Three and Higher Dimensional Spaces. - Zhibin Deng; John E. Lavery; Shu-Cherng Fang; Jian Luo 006 (Algorithms, 2014)

Soft Quadratic Surface Support Vector Machine for Binary Classification. - Jian Luo 006; Shu-Cherng Fang; Zhibin Deng; Xiaoling Guo (Asia Pac. J. Oper. Res., 2016)

A kernel-free quadratic surface support vector machine for semi-supervised learning. - Xin Yan; Yanqin Bai; Shu-Cherng Fang; Jian Luo 006 (J. Oper. Res. Soc., 2016)

Clustering via fuzzy one-class quadratic surface support vector machine. - Jian Luo 006; Ye Tian 006; Xin Yan (Soft Comput., 2017)

A new branch-and-bound approach to semi-supervised support vector machine. - Ye Tian 006; Jian Luo 006 (Soft Comput., 2017)

A New Fuzzy Set and Nonkernel SVM Approach for Mislabeled Binary Classification With Applications. - Ye Tian 006; Miao Sun; Zhibin Deng; Jian Luo 006; Yueqing Li (IEEE Trans. Fuzzy Syst., 2017)

A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines. - Ye Tian 006; Ziyang Yong; Jian Luo 006 (Appl. Soft Comput., 2018)

An intuitionistic fuzzy set based S $$^3$$ 3 VM model for binary classification with mislabeled information. - Ye Tian 006; Zhibin Deng; Jian Luo 006; Yueqing Li (Fuzzy Optim. Decis. Mak., 2018)

A proximal quadratic surface support vector machine for semi-supervised binary classification. - Xin Yan; Yanqin Bai; Shu-Cherng Fang; Jian Luo 006 (Soft Comput., 2018)

Robust Regression Models for Load Forecasting. - Jian Luo 006; Tao Hong 003; Shu-Cherng Fang (IEEE Trans. Smart Grid, 2019)

Unsupervised quadratic surface support vector machine with application to credit risk assessment. - Jian Luo 006; Xin Yan; Ye Tian 006 (Eur. J. Oper. Res., 2020)

Globally solving extended trust region subproblems with two intersecting cuts. - Zhibin Deng; Cheng Lu 007; Ye Tian 006; Jian Luo 006 (Optim. Lett., 2020)

A kernel-free double well potential support vector machine with applications. - Zheming Gao; Shu-Cherng Fang; Jian Luo 006; Negash G. Medhin (Eur. J. Oper. Res., 2021)

A novel kernel-free nonlinear SVM for semi-supervised classification in disease diagnosis. - Xin Yan; Hongmiao Zhu; Jian Luo 006 (J. Comb. Optim., 2021)

A novel kernel-free least squares twin support vector machine for fast and accurate multi-class classification. - Zheming Gao; Shu-Cherng Fang; Xuerui Gao; Jian Luo 006; Negash G. Medhin (Knowl. Based Syst., 2021)

A kernel-free fuzzy reduced quadratic surface ν-support vector machine with applications. - Zheming Gao; Yiwen Wang; Min Huang 001; Jian Luo 006; Shanshan Tang (Appl. Soft Comput., 2022)

Laplacian large margin distribution machine for semi-supervised classification. - Jingyue Zhou; Ye Tian 006; Jian Luo 006; Qianru Zhai (J. Oper. Res. Soc., 2022)

Robust kernel-free support vector regression based on optimal margin distribution. - Jian Luo 006; Shu-Cherng Fang; Zhibin Deng; Ye Tian 006 (Knowl. Based Syst., 2022)

Novel non-Kernel quadratic surface support vector machines based on optimal margin distribution. - Jingyue Zhou; Ye Tian 006; Jian Luo 006; Qianru Zhai (Soft Comput., 2022)

A kernel-free Laplacian quadratic surface optimal margin distribution machine with application to credit risk assessment. - Jingyue Zhou; Ye Tian 006; Jian Luo 006; Qianru Zhai (Appl. Soft Comput., 2023)

Hotel overbooking based on no-show probability forecasts. - Qianru Zhai; Ye Tian 006; Jian Luo 006; Jingyue Zhou (Comput. Ind. Eng., 2023)

A distributionally robust chance-constrained kernel-free quadratic surface support vector machine. - Fengming Lin; Shu-Cherng Fang; Xiaolei Fang; Zheming Gao; Jian Luo 006 (Eur. J. Oper. Res., 2024)

A novel method based on knowledge adoption model and non-kernel SVM for predicting the helpfulness of online reviews. - Jian Luo 006; Yan Zhang; Yuanyuan Gao; Jing Zhang (J. Oper. Res. Soc., 2024)

Peer review expert group recommendation: A multi-subject coverage-based approach. - Yongfan Fu; Jian Luo 006; Guofang Nan; Dahui Li (Expert Syst. Appl., 2025)

Optimizing Distribution Network Design Using Conic Relaxation for Maximum Cut Formulations. - Jian Luo 006; Huimin Song; Zhiqiao Wu; Yukai Zheng (IEEE Trans. Engineering Management, 2025)