STDPboost: A Self-Training Method Based on Density Peaks and Improved Adaboost for Semi-Supervised Classification. - Xu Lin 010; Junnan Li 009 (IEEE Access, 2023)

A sample subspace optimization-based framework for addressing mislabeling in self-labeled semi-supervised classification. - Junnan Li 009; Tingting Li (Appl. Soft Comput., 2023)

Oversampling framework based on sample subspace optimization with accelerated binary particle swarm optimization for imbalanced classification. - Junnan Li 009 (Appl. Soft Comput., 2024)

A self-training method based on fast binary bare-bones particle swarm optimization for semi-supervised classification. - Junnan Li 009 (Eng. Appl. Artif. Intell., 2024)

PRLDPC: A Heuristics Prototype Reduction Method Based on Supervised Local Density Clustering for Instance-Based Classifiers. - Xing Huang; Junnan Li 009 (Int. J. Pattern Recognit. Artif. Intell., 2024)

A heuristic hybrid instance reduction approach based on adaptive relative distance and k-means clustering. - Junnan Li 009; Qing Zhao; Shuang Liu (J. Supercomput., 2024)