A co-training method based on entropy and multi-criteria. - Jia Lu; Yanlu Gong (Appl. Intell., 2021)

SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution. - Junnan Li 004; Qingsheng Zhu; Quanwang Wu; Zhiyong Zhang; Yanlu Gong; Ziqing He; Fan Zhu (Knowl. Based Syst., 2021)

A co-training method based on parameter-free and single-step unlabeled data selection strategy with natural neighbors. - Yanlu Gong; Quanwang Wu; Dongdong Cheng (Int. J. Mach. Learn. Cybern., 2023)

Self-paced multi-label co-training. - Yanlu Gong; Quanwang Wu; Mengchu Zhou; Junhao Wen 001 (Inf. Sci., 2023)

SIVLC: improving the performance of co-training by sufficient-irrelevant views and label consistency. - Yanlu Gong; Quanwang Wu (Appl. Intell., 2023)

A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection. - Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE CAA J. Autom. Sinica, 2023)

A diversity and reliability-enhanced synthetic minority oversampling technique for multi-label learning. - Yanlu Gong; Quanwang Wu; Mengchu Zhou; Chao Chen (Inf. Sci., 2025)