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Jun-Yi Hang
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Journal Articles
- 2023
- [j3]Bin-Bin Jia, Jun-Ying Liu, Jun-Yi Hang, Min-Ling Zhang:
Learning label-specific features for decomposition-based multi-class classification. Frontiers Comput. Sci. 17(6): 176348 (2023) - 2022
- [j2]Yi-Bo Wang, Jun-Yi Hang, Min-Ling Zhang:
Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble. IEEE CAA J. Autom. Sinica 9(7): 1248-1261 (2022) - [j1]Jun-Yi Hang, Min-Ling Zhang:
Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9860-9871 (2022)
Conference and Workshop Papers
- 2024
- [c8]Jun-Yi Hang, Min-Ling Zhang:
Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning. ICML 2024 - [c7]Junxiang Mao, Jun-Yi Hang, Min-Ling Zhang:
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification. IJCAI 2024: 4742-4750 - 2023
- [c6]Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang:
Can Label-Specific Features Help Partial-Label Learning? AAAI 2023: 7432-7440 - [c5]Jun-Yi Hang, Min-Ling Zhang:
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation. NeurIPS 2023 - 2022
- [c4]Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song:
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification. AAAI 2022: 6847-6855 - [c3]Jun-Yi Hang, Min-Ling Zhang:
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification. ICML 2022: 8375-8386 - [c2]Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang:
Submodular Feature Selection for Partial Label Learning. KDD 2022: 26-34 - 2021
- [c1]Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang:
Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization. KDD 2021: 46-54
Coauthor Index
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