Jun-Yi Hang

According to our database, Jun-Yi Hang authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning label-specific features for decomposition-based multi-class classification.

Bin-Bin Jia, Jun-Ying Liu, Jun-Yi Hang, Min-Ling Zhang

Frontiers Comput. Sci., December, 2023

Partial Multi-Label Learning with Probabilistic Graphical Disambiguation.

Jun-Yi Hang, Min-Ling Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can Label-Specific Features Help Partial-Label Learning?

Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

Submodular Feature Selection for Partial Label Learning.

Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification.

Jun-Yi Hang, Min-Ling Zhang

Proceedings of the International Conference on Machine Learning, 2022

End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification.

Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization.

Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021