Robust long-tailed learning under label noise T Wei, JX Shi, WW Tu, YF Li arXiv preprint arXiv:2108.11569, 2021 | 42 | 2021 |
Prototypical classifier for robust class-imbalanced learning T Wei, JX Shi, YF Li, ML Zhang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 44-57, 2022 | 14 | 2022 |
Transfer and share: semi-supervised learning from long-tailed data T Wei, QY Liu, JX Shi, WW Tu, LZ Guo Machine Learning, 1-18, 2022 | 8 | 2022 |
A survey on extreme multi-label learning T Wei, Z Mao, JX Shi, YF Li, ML Zhang arXiv preprint arXiv:2210.03968, 2022 | 8 | 2022 |
Probabilistic label tree for streaming multi-label learning T Wei, JX Shi, YF Li Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 8 | 2021 |
How Re-sampling Helps for Long-Tail Learning? JX Shi, T Wei, Y Xiang, YF Li Advances in Neural Information Processing Systems 36, 2023 | 4 | 2023 |
Investigating the limitation of clip models: The worst-performing categories JJ Shao, JX Shi, XW Yang, LZ Guo, YF Li arXiv preprint arXiv:2310.03324, 2023 | 3 | 2023 |
Parameter-Efficient Long-Tailed Recognition JX Shi, T Wei, Z Zhou, XY Han, JJ Shao, YF Li arXiv preprint arXiv:2309.10019, 2023 | 3 | 2023 |
Residual diverse ensemble for long-tailed multi-label text classification JX Shi, T Wei, YF Li Science CHINA Information Science, 2024 | 2 | 2024 |