Combining One-vs-One Decomposition and Instance-Based Learning for Multi-Class Classification. - Jun-Ying Liu 001; Bin-Bin Jia 001 (IEEE Access, 2020)

Learning label-specific features for decomposition-based multi-class classification. - Bin-Bin Jia 001; Jun-Ying Liu 001; Jun-Yi Hang; Min-Ling Zhang (Frontiers Comput. Sci., 2023)

Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis. - Bin-Bin Jia 001; Jun-Ying Liu 001; Min-Ling Zhang (Int. J. Mach. Learn. Cybern., 2024)

Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification. - Bin-Bin Jia 001; Jun-Ying Liu 001; Min-Ling Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Pairwise statistical comparisons of multiple algorithms. - Bin-Bin Jia 001; Jun-Ying Liu 001; Min-Ling Zhang (Frontiers Comput. Sci., 2025)

Partial label learning with semi-supervised clustering disambiguation. - Jun-Ying Liu 001; Jian-Ping Sun; Ya-Hong Zhao; Bin-Bin Jia 001; Min-Ling Zhang (Pattern Recognit., 2026)