Jun-Yi Hang

15 papers A* 10Journal 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification.
ACM Trans. Knowl. Discov. Data
Jun-Yi Hang, Min-Ling Zhang
2025 A* conf
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries.
ICML
Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu
2025 J jnl
Partial multi-label learning via label-specific feature corrections.
Sci. China Inf. Sci.
Jun-Yi Hang, Min-Ling Zhang
2024 A* conf
Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning.
ICML
Jun-Yi Hang, Min-Ling Zhang
2024 A* conf
Learning Label-Specific Multiple Local Metrics for Multi-Label Classification.
IJCAI
Junxiang Mao, Jun-Yi Hang, Min-Ling Zhang
2024 A* conf
Multi-Label Open Set Recognition.
NeurIPS
Yibo Wang, Jun-Yi Hang, Min-Ling Zhang
2023 A* conf
Can Label-Specific Features Help Partial-Label Learning?
AAAI
Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang
2023 J jnl
Learning label-specific features for decomposition-based multi-class classification.
Frontiers Comput. Sci.
Bin-Bin Jia, Jun-Ying Liu, Jun-Yi Hang, Min-Ling Zhang
2023 A* conf
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation.
NeurIPS
Jun-Yi Hang, Min-Ling Zhang
2022 J jnl
Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Jun-Yi Hang, Min-Ling Zhang
2022 A* conf
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification.
ICML
Jun-Yi Hang, Min-Ling Zhang
2022 A* conf
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification.
AAAI
Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song
2022 J jnl
Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble.
IEEE CAA J. Autom. Sinica
Yibo Wang, Jun-Yi Hang, Min-Ling Zhang
2022 A* conf
Submodular Feature Selection for Partial Label Learning.
KDD
Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang
2021 A* conf
Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization.
KDD
Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang