Tong Wei
Tong Wei
Southeast University
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NGC: A Unified Framework for Learning with Open-World Noisy Data
ZF Wu, T Wei, J Jiang, C Mao, M Tang, YF Li
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Does Tail Label Help for Large-Scale Multi-Label Learning
T Wei, YF Li
International Joint Conference on Artificial Intelligence, 2847-2853, 2018
Robust long-tailed learning under label noise
T Wei, JX Shi, WW Tu, YF Li
arXiv preprint arXiv:2108.11569, 2021
Learning safe multi-label prediction for weakly labeled data
T Wei, LZ Guo, YF Li, W Gao
Machine Learning 107, 703-725, 2018
Towards automated semi-supervised learning
YF Li, H Wang, T Wei, WW Tu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4237-4244, 2019
Towards realistic long-tailed semi-supervised learning: Consistency is all you need
T Wei, K Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Learning for Tail Label Data: A Label-Specific Feature Approach.
T Wei, WW Tu, YF Li
IJCAI, 3842-3848, 2019
Towards robust prediction on tail labels
T Wei, WW Tu, YF Li, GP Yang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 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
Learning compact model for large-scale multi-label data
T Wei, YF Li
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5385-5392, 2019
Transfer and share: semi-supervised learning from long-tailed data
T Wei, QY Liu, JX Shi, WW Tu, LZ Guo
Machine Learning 113 (4), 1725-1742, 2024
A survey on extreme multi-label learning
T Wei, Z Mao, JX Shi, YF Li, ML Zhang
arXiv preprint arXiv:2210.03968, 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
Robust model selection for positive and unlabeled learning with constraints
T Wei, H Wang, W Tu, Y Li
Science China Information Sciences 65 (11), 212101, 2022
MixPUL: consistency-based augmentation for positive and unlabeled learning
T Wei, F Shi, H Wang, WWTYF Li
arXiv preprint arXiv:2004.09388, 2020
How re-sampling helps for long-tail learning?
JX Shi, T Wei, Y Xiang, YF Li
Advances in Neural Information Processing Systems 36, 2023
Parameter-efficient long-tailed recognition
JX Shi, T Wei, Z Zhou, XY Han, JJ Shao, YF Li
arXiv preprint arXiv:2309.10019, 2023
Bridging the gap: Learning pace synchronization for open-world semi-supervised learning
B Ye, K Gan, T Wei, ML Zhang
arXiv preprint arXiv:2309.11930, 2023
Residual diverse ensemble for long-tailed multi-label text classification
JX Shi, T Wei, YF Li
Science CHINA Information Science, 2024
Can label-specific features help partial-label learning?
RJ Dong, JY Hang, T Wei, ML Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7432-7440, 2023
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