| Partial multi-label learning MK Xie, SJ Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 176 | 2018 |
| Partial multi-label learning with noisy label identification MK Xie, SJ Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 158 | 2021 |
| Active feature acquisition with supervised matrix completion SJ Huang, M Xu, MK Xie, M Sugiyama, G Niu, S Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 56 | 2018 |
| CCMN: A general framework for learning with class-conditional multi-label noise MK Xie, SJ Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 154-166, 2022 | 34 | 2022 |
| Partial multi-label learning with meta disambiguation MK Xie, F Sun, SJ Huang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 31 | 2021 |
| Label-aware global consistency for multi-label learning with single positive labels MK Xie, J Xiao, SJ Huang Advances in Neural Information Processing Systems 35, 18430-18441, 2022 | 23 | 2022 |
| Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning MK Xie, J Xiao, HZ Liu, G Niu, M Sugiyama, SJ Huang Advances in Neural Information Processing Systems 36, 2024 | 21 | 2024 |
| Multi-label knowledge distillation P Yang, MK Xie, CC Zong, L Feng, G Niu, M Sugiyama, SJ Huang Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 20 | 2023 |
| Semi-supervised partial multi-label learning MK Xie, SJ Huang 2020 IEEE International Conference on Data Mining (ICDM), 691-700, 2020 | 17 | 2020 |
| Unlocking the power of open set: A new perspective for open-set noisy label learning W Wan, X Wang, MK Xie, SY Li, SJ Huang, S Chen Proceedings of the AAAI conference on artificial intelligence 38 (14), 15438 …, 2024 | 9 | 2024 |
| Learning class-conditional GANs with active sampling MK Xie, SJ Huang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 9 | 2019 |
| Multi-label learning with pairwise relevance ordering MK Xie, SJ Huang Advances in Neural Information Processing Systems 34, 23545-23556, 2021 | 6 | 2021 |
| A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation F Sun, MK Xie, SJ Huang Machine Intelligence Research 21 (4), 801-814, 2024 | 5 | 2024 |
| Dirichlet-based prediction calibration for learning with noisy labels CC Zong, YW Wang, MK Xie, SJ Huang Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 17254 …, 2024 | 5 | 2024 |
| UNM: A universal approach for noisy multi-label learning JY Chen, SY Li, SJ Huang, S Chen, L Wang, MK Xie IEEE Transactions on Knowledge and Data Engineering, 2024 | 3 | 2024 |
| Noise-robust bidirectional learning with dynamic sample reweighting CC Zong, ZT Cao, HT Guo, Y Du, MK Xie, SY Li, SJ Huang arXiv preprint arXiv:2209.01334, 2022 | 2 | 2022 |
| Robust AUC maximization for classification with pairwise confidence comparisons H Shi, M Xie, S Huang Frontiers of Computer Science 18 (4), 184317, 2024 | 1 | 2024 |
| Counterfactual reasoning for multi-label image classification via patching-based training MK Xie, JH Xiao, P Peng, G Niu, M Sugiyama, SJ Huang arXiv preprint arXiv:2404.06287, 2024 | 1 | 2024 |
| Label Distribution Learning with Biased Annotations by Learning Multi-Label Representation Z Kou, S Qin, H Wang, M Xie, S Chen, Y Jia, T Liu, M Sugiyama, X Geng arXiv preprint arXiv:2502.01170, 2025 | | 2025 |
| Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning HB Fan, MK Xie, JH Xiao, SJ Huang arXiv preprint arXiv:2412.18842, 2024 | | 2024 |
Sheng-Jun HuangNanjing University of Aeronautics & AstronauticsEmail được xác minh tại lamda.nju.edu.cn