| Label Enhancement for Label Distribution Learning N Xu, YP Liu, X Geng IEEE Transactions on Knowledge and Data Engineering, 2021 | 173 | 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 | 93 | 2019 |
| Instance-dependent partial label learning N Xu, C Qiao, X Geng, ML Zhang Advances in Neural Information Processing Systems 34, 27119-27130, 2021 | 64 | 2021 |
| Variational label enhancement N Xu, J Shu, YP Liu, X Geng International conference on machine learning, 10597-10606, 2020 | 58 | 2020 |
| 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 | 52 | 2020 |
| Multi-label learning with label enhancement R Shao, N Xu, X Geng 2018 IEEE international conference on data mining (ICDM), 437-446, 2018 | 39 | 2018 |
| 基于局部特征提取的目标自动识别 贾平， 徐宁， 张叶 光学精密工程 21 (7), 1898-1905, 2013 | 33 | 2013 |
| One positive label is sufficient: Single-positive multi-label learning with label enhancement N Xu, C Qiao, J Lv, X Geng, ML Zhang Advances in Neural Information Processing Systems, 21765--21776, 2022 | 21 | 2022 |
| On the robustness of average losses for partial-label learning J Lv, B Liu, L Feng, N Xu, M Xu, B An, G Niu, X Geng, M Sugiyama IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 18 | 2023 |
| 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 34 (8), 4856-4867, 2021 | 18 | 2021 |
| Compact learning for multi-label classification J Lv, T Wu, C Peng, Y Liu, N Xu, X Geng Pattern Recognition 113, 107833, 2021 | 17 | 2021 |
| Weakly Supervised Multi-Label Learning via Label Enhancement. J Lv, N Xu, RY Zheng, X Geng IJCAI, 3101-3107, 2019 | 16 | 2019 |
| Automatic target recognition based on local feature extraction P Jia, N Xu, Y Zhang Optics and Precision Engineering 21 (7), 1898-1905, 2013 | 16 | 2013 |
| 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 | 15 | 2021 |
| Label distribution for multimodal machine learning Y Ren, N Xu, M Ling, X Geng Frontiers of Computer Science 16, 1-11, 2022 | 14 | 2022 |
| 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 | 12 | 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 | 12 | 2022 |
| Label distribution learning and label enhancement X Geng, N Xu Scientia Sinica Informationis 48 (5), 521, 2018 | 11 | 2018 |
| Decompositional Generation Process for Instance-Dependent Partial Label Learning C Qiao, N Xu, X Geng International Conference on Learning Representations, 2022 | 10 | 2022 |
| Fast label enhancement for label distribution learning K Wang, N Xu, M Ling, X Geng IEEE Transactions on Knowledge and Data Engineering, 2021 | 10 | 2021 |
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
