| Fednoil: A simple two-level sampling method for federated learning with noisy labels Z Wang, T Zhou, G Long, B Han, J Jiang arXiv preprint arXiv:2205.10110, 2022 | 19 | 2022 |
| Seminll: A framework of noisy-label learning by semi-supervised learning Z Wang, J Jiang, B Han, L Feng, B An, G Niu, G Long arXiv preprint arXiv:2012.00925, 2020 | 16 | 2020 |
| Confusable learning for large-class few-shot classification B Li, B Han, Z Wang, J Jiang, G Long Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 5 | 2021 |
| Msa-gcn: Multiscale adaptive graph convolution network for gait emotion recognition Y Yin, L Jing, F Huang, G Yang, Z Wang Pattern Recognition 147, 110117, 2024 | 3 | 2024 |
| Bies: Adaptive policy optimization for model-based offline reinforcement learning Y Yang, J Jiang, Z Wang, Q Duan, Y Shi Australasian Joint Conference on Artificial Intelligence, 570-581, 2022 | 3 | 2022 |
| Positive unlabeled learning by semi-supervised learning Z Wang, J Jiang, G Long 2022 IEEE International Conference on Image Processing (ICIP), 2976-2980, 2022 | 2 | 2022 |
| Online binary classification from similar and dissimilar data S Shu, H Wang, Z Wang, B Han, T Xiang, B An, L Feng Machine Learning, 1-22, 2023 | | 2023 |
| Positive Unlabeled Learning by Sample Selection and Prototype Refinement Z Wang, G Long International Conference on Advanced Data Mining and Applications, 304-318, 2022 | | 2022 |
