| Label Enhancement for Label Distribution Learning N Xu, YP Liu, X Geng IEEE Transactions on Knowledge and Data Engineering, 2021 | 65 | 2021 |
| Partial label learning via label enhancement N Xu, J Lv, X Geng Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5557-5564, 2019 | 46 | 2019 |
| Partial multi-label learning with label distribution N Xu, YP Liu, X Geng Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6510-6517, 2020 | 23 | 2020 |
| Multi-label learning with label enhancement R Shao, N Xu, X Geng 2018 IEEE International Conference on Data Mining (ICDM), 437-446, 2018 | 17 | 2018 |
| Variational label enhancement N Xu, J Shu, YP Liu, X Geng International Conference on Machine Learning, 10597-10606, 2020 | 15 | 2020 |
| Instance-dependent partial label learning N Xu, C Qiao, X Geng, ML Zhang Advances in Neural Information Processing Systems 34, 27119-27130, 2021 | 11 | 2021 |
| Label distribution for learning with noisy labels YP Liu, N Xu, Y Zhang, X Geng Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 9 | 2021 |
| Weakly Supervised Multi-Label Learning via Label Enhancement. J Lv, N Xu, RY Zheng, X Geng IJCAI, 3101-3107, 2019 | 8 | 2019 |
| Compact learning for multi-label classification J Lv, T Wu, C Peng, Y Liu, N Xu, X Geng Pattern Recognition 113, 107833, 2021 | 6 | 2021 |
| Label enhancement for label distribution learning X Geng, N Xu, R Shao Journal of Computer Research and Development 54 (6), 1171-1184, 2017 | 6 | 2017 |
| Label distribution learning and label enhancement G Xin, XU Ning Scientia sinica informationis 48 (5), 521-530, 2018 | 5 | 2018 |
| Progressive enhancement of label distributions for partial multilabel learning N Xu, YP Liu, Y Zhang, X Geng IEEE Transactions on Neural Networks and Learning Systems, 2021 | 4 | 2021 |
| Label distribution for multimodal machine learning Y Ren, N Xu, M Ling, X Geng Frontiers of Computer Science 16 (1), 1-11, 2022 | 2 | 2022 |
| Labeling information enhancement for multi-label learning with low-rank subspace A Tao, N Xu, X Geng Pacific Rim International Conference on Artificial Intelligence, 671-683, 2018 | 1 | 2018 |
| Learngene: From Open-World to Your Learning Task QF Wang, X Geng, SX Lin, SY Xia, L Qi, N Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8557-8565, 2022 | | 2022 |
| Progressive Purification for Instance-Dependent Partial Label Learning N Xu, J Lv, B Liu, C Qiao, X Geng arXiv preprint arXiv:2206.00830, 2022 | | 2022 |
| One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement N Xu, C Qiao, J Lv, X Geng, ML Zhang arXiv preprint arXiv:2206.00517, 2022 | | 2022 |
| Decomposition-based Generation Process for Instance-Dependent Partial Label Learning C Qiao, N Xu, X Geng arXiv preprint arXiv:2204.03845, 2022 | | 2022 |
| Trusted-Data-Guided Label Enhancement on Noisy Labels N Xu, JY Li, YP Liu, X Geng IEEE Transactions on Neural Networks and Learning Systems, 2022 | | 2022 |
| Feature-Induced Label Distribution for Learning with Noisy Labels M Zhang, N Xu, X Geng Pattern Recognition Letters 155, 107-113, 2022 | | 2022 |
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
