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

Generalized Eigenvalue Proximal Support Vector Machine for Functional Data Classification. - Yuanyuan Chen; Zhixia Yang 001 (Symmetry, 2021)

Kernel-Free Quadratic Surface Minimax Probability Machine for a Binary Classification Problem. - Yulan Wang; Zhixia Yang 001; Xiaomei Yang (Symmetry, 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)

Infrared Small Target Detection Based on Singularity Analysis and Constrained Random Walker. - Xinpeng Zhang 003; Zhixia Yang 001; Fan Shi 001; Yanhong Yang; Meng Zhao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Robust kernel-free quadratic surface twin support vector machine with capped L1-norm distance metric. - Qi Si; Zhixia Yang 001 (CoRR, 2024)

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)

A kernel-free quadratic surface twin support vector machine with capped L1-norm distance metric for robust classification. - Qi Si; Zhixia Yang 001; Jinbiao Zhao 001; Rongda Chen (Appl. Soft Comput., 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)