Partial label dimensionality reduction via confidence-based dependence maximization WX Bao, JY Hang, ML Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 27 | 2021 |
Collaborative learning of label semantics and deep label-specific features for multi-label classification JY Hang, ML Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9860 …, 2021 | 23 | 2021 |
Submodular feature selection for partial label learning WX Bao, JY Hang, ML Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 13 | 2022 |
Dual perspective of label-specific feature learning for multi-label classification JY Hang, ML Zhang International Conference on Machine Learning, 8375-8386, 2022 | 7 | 2022 |
Stable label-specific features generation for multi-label learning via mixture-based clustering ensemble YB Wang, JY Hang, ML Zhang IEEE/CAA Journal of Automatica Sinica 9 (7), 1248-1261, 2022 | 7 | 2022 |
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification JY Hang, ML Zhang, Y Feng, X Song Proceedings of the 36th AAAI Conference on Artificial Intelligence, 6847--6855, 2022 | 7 | 2022 |
Learning label-specific features for decomposition-based multi-class classification BB Jia, JY Liu, JY Hang, ML Zhang Frontiers of Computer Science 17 (6), 176348, 2023 | 4 | 2023 |
Can Label-Specific Features Help Partial-Label Learning? RJ Dong, JY Hang, T Wei, ML Zhang Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023 | 2 | 2023 |
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation JY Hang, ML Zhang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |