| Open-set label noise can improve robustness against inherent label noise H Wei, L Tao, R Xie, B An Advances in Neural Information Processing Systems 34, 7978-7992, 2021 | 17 | 2021 |
| Mitigating neural network overconfidence with logit normalization H Wei, R Xie, H Cheng, L Feng, B An, Y Li International Conference on Machine Learning, 23631-23644, 2022 | 15 | 2022 |
| ATL: Autonomous knowledge transfer from many streaming processes M Pratama, M de Carvalho, R Xie, E Lughofer, J Lu Proceedings of the 28th ACM International Conference on Information and …, 2019 | 15 | 2019 |
| Automatic online multi-source domain adaptation X Renchunzi, M Pratama Information Sciences 582, 480-494, 2022 | 7 | 2022 |
| Deep learning from multiple noisy annotators as a union H Wei, R Xie, L Feng, B Han, B An IEEE Transactions on Neural Networks and Learning Systems, 2022 | 5 | 2022 |
| Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets H Wei, L Tao, R Xie, L Feng, B An International Conference on Machine Learning, 23615-23630, 2022 | 1 | 2022 |
| GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation R Xie, H Wei, L Feng, B An Proceedings of the AAAI conference on artificial intelligence, 2022 | 1 | 2022 |
| Open-sampling: Re-balancing Long-tailed Datasets with Out-of-Distribution Data H Wei, L Tao, R XIE, L Feng, B An | 1 | 2022 |
| Logit Clipping for Robust Learning against Label Noise H Wei, H Zhuang, R Xie, L Feng, G Niu, B An, Y Li arXiv preprint arXiv:2212.04055, 2022 | | 2022 |
| ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection H Zhuang, Z Weng, R Xie, KA Toh, Z Lin arXiv preprint arXiv:2205.14922, 2022 | | 2022 |
