Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization. - Wei-Xuan Bao; Jun-Yi Hang; Min-Ling Zhang (KDD, 2021)

End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification. - Jun-Yi Hang; Min-Ling Zhang; Yanghe Feng; Xiaocheng Song (AAAI, 2022)

Submodular Feature Selection for Partial Label Learning. - Wei-Xuan Bao; Jun-Yi Hang; Min-Ling Zhang (KDD, 2022)

Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble. - Yi-Bo Wang; Jun-Yi Hang; Min-Ling Zhang (IEEE CAA J. Autom. Sinica, 2022)

Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification. - Jun-Yi Hang; Min-Ling Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Can Label-Specific Features Help Partial-Label Learning? - Ruo-Jing Dong; Jun-Yi Hang; Tong Wei 001; Min-Ling Zhang (AAAI, 2023)

Partial Multi-Label Learning with Probabilistic Graphical Disambiguation. - Jun-Yi Hang; Min-Ling Zhang (NeurIPS, 2023)

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)

Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning. - Jun-Yi Hang; Min-Ling Zhang (ICML, 2024)

Learning Label-Specific Multiple Local Metrics for Multi-Label Classification. - Junxiang Mao; Jun-Yi Hang; Min-Ling Zhang (IJCAI, 2024)

Multi-Label Open Set Recognition. - Yibo Wang; Jun-Yi Hang; Min-Ling Zhang (NeurIPS, 2024)

Partial multi-label learning via label-specific feature corrections. - Jun-Yi Hang; Min-Ling Zhang (Sci. China Inf. Sci., 2025)

Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification. - Jun-Yi Hang; Min-Ling Zhang (ACM Trans. Knowl. Discov. Data, 2025)