| Progressive identification of true labels for partial-label learning J Lv, M Xu, L Feng, G Niu, X Geng, M Sugiyama international conference on machine learning, 6500-6510, 2020 | 75 | 2020 |
| 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 | 54 | 2019 |
| Provably consistent partial-label learning L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama Advances in neural information processing systems 33, 10948-10960, 2020 | 53 | 2020 |
| Semi-supervised adaptive label distribution learning for facial age estimation P Hou, X Geng, ZW Huo, JQ Lv Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 33 | 2017 |
| Compact learning for multi-label classification J Lv, T Wu, C Peng, Y Liu, N Xu, X Geng Pattern Recognition 113, 107833, 2021 | 8 | 2021 |
| Weakly Supervised Multi-Label Learning via Label Enhancement. J Lv, N Xu, RY Zheng, X Geng IJCAI, 3101-3107, 2019 | 8 | 2019 |
| 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 arXiv preprint arXiv:2106.06152, 2021 | 4 | 2021 |
| 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 | 2 | 2022 |
| Multilabel ranking with inconsistent rankers X Geng, R Zheng, J Lv, Y Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5211-5224, 2021 | 2 | 2021 |
| Learning with proper partial labels Z Wu, J Lv, M Sugiyama Neural Computation 35 (1), 58-81, 2022 | 1 | 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 | 1 | 2022 |
| Design and Analysis of Planar Solar Concentrator in Ray-leakage-free Respect Y Peng, X Xi-ping, J Zhao-guo, L Jia-qi, G Shao-hua ACTA PHOTONICA SINICA 46 (9), 2017 | 1 | 2017 |
| Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning SY Xia, J Lv, N Xu, X Geng | | |
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
