| 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 | 214 | 2020 |
| 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 | 176 | 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 | 120 | 2019 |
| Joint subcarrier and subsymbol allocation-based simultaneous wireless information and power transfer for multiuser GFDM in IoT Z Na, J Lv, F Jiang, M Xiong, N Zhao IEEE Internet of Things Journal 6 (4), 5999-6006, 2018 | 73 | 2018 |
| GFDM based wireless powered communication for cooperative relay system Z Na, J Lv, M Zhang, B Peng, M Xiong, M Guan IEEE Access 7, 50971-50979, 2019 | 62 | 2019 |
| 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 | 45 | 2017 |
| 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 35, 21765-21776, 2022 | 38 | 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 46 (5), 2569-2583, 2023 | 36 | 2023 |
| Towards effective visual representations for partial-label learning S Xia, J Lv, N Xu, G Niu, X Geng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 28 | 2023 |
| Progressive purification for instance-dependent partial label learning N Xu, B Liu, J Lv, C Qiao, X Geng International Conference on Machine Learning, 38551-38565, 2023 | 25 | 2023 |
| Weakly Supervised Multi-Label Learning via Label Enhancement. J Lv, N Xu, RY Zheng, X Geng IJCAI, 3101-3107, 2019 | 23 | 2019 |
| Compact learning for multi-label classification J Lv, T Wu, C Peng, Y Liu, N Xu, X Geng Pattern Recognition 113, 107833, 2021 | 21 | 2021 |
| Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. S Xia, J Lv, N Xu, X Geng IJCAI, 3615-3621, 2022 | 17 | 2022 |
| Revisiting pseudo-label for single-positive multi-label learning B Liu, N Xu, J Lv, X Geng International Conference on Machine Learning, 22249-22265, 2023 | 15 | 2023 |
| 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 | 13 | 2021 |
| Learning with proper partial labels Z Wu, J Lv, M Sugiyama Neural Computation 35 (1), 58-81, 2023 | 11 | 2023 |
| Theoretical confirmation of the excited state intramolecular proton transfer and twisting process of 1-hydroxy-2-acetonaphthone in solution: A TDDFT study D Yang, R Zheng, Y Wang, J Lv Commun. Comput. Chem. 3, 1-10, 2015 | 9 | 2015 |
| Fredis: A fusion framework of refinement and disambiguation for unreliable partial label learning C Qiao, N Xu, J Lv, Y Ren, X Geng International Conference on Machine Learning, 28321-28336, 2023 | 6 | 2023 |
| Evaluation and improvement of the oxidative stability of leather fatliquors Y Yu, M Huang, J Lv, Y Zeng, Q Sun, B Shi Journal of Leather Science and Engineering 3, 1-10, 2021 | 6 | 2021 |
| DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data J Lv, Q Hong, X Wang, Z Mao, Q Sun Journal of Computational Physics 491, 112344, 2023 | 5 | 2023 |
Xin GengSchool of Computer Science and Engineering, Southeast UniversityEmail yang diverifikasi di seu.edu.cn