Quadratic hyper-surface kernel-free least squares support vector regression. - Junyou Ye; Zhixia Yang 001; Zhilin Li 002 (Intell. Data Anal., 2021)

∊-Kernel-free soft quadratic surface support vector regression. - Junyou Ye; Zhixia Yang 001; Mengping Ma; Yulan Wang; Xiaomei Yang (Inf. Sci., 2022)

Kernel-Free Nonlinear Support Vector Machines for Multiview Binary Classification Problems. - Rongda Chen; Zhixia Yang 001; Junyou Ye (Int. J. Intell. Syst., 2023)

Kernel-Free Quadratic Surface Regression for Multi-Class Classification. - Changlin Wang; Zhixia Yang 001; Junyou Ye; Xue Yang (Entropy, 2023)

Kernel-Free Quadratic Surface Support Vector Regression with Non-Negative Constraints. - Dong Wei; Zhixia Yang 001; Junyou Ye; Xue Yang (Entropy, 2023)

Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm. - Qi Si; Zhixia Yang 001; Junyou Ye (Neural Networks, 2023)

A unified kernel sparse representation framework for supervised learning problems. - Junyou Ye; Zhixia Yang 001; Yongqi Zhu; Zheng Zhang (Neural Comput. Appl., 2024)

Robust and Sparse Kernel-Free Quadratic Surface LSR via L2,p-Norm With Feature Selection for Multi-Class Image Classification. - Yongqi Zhu; Zhixia Yang 001; Junyou Ye; Yongxing Hu (IEEE Access, 2025)

Kernel-free quadratic proximal support vector machine with Lp-norm regularization. - Xue Yang; Zhixia Yang 001; Junyou Ye; Yuanyuan Chen (Eng. Appl. Artif. Intell., 2025)

Kernel-free quadratic surface SVM for conditional probability estimation in imbalanced multi-class classification. - Junyou Ye; Zhixia Yang 001; Yongqi Zhu; Zheng Zhang; Qin Wen (Neural Networks, 2025)