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2020 – today
- 2024
[j1]Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo:
Transfer and share: semi-supervised learning from long-tailed data. Mach. Learn. 113(4): 1725-1742 (2024)- [c6]Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. ICML 2024 - [c5]Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yufeng Li:
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. ICML 2024 - [c4]Jiang-Xin Shi
, Chi Zhang, Tong Wei, Yu-Feng Li:
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. KDD 2024: 2663-2673 - [i11]Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. CoRR abs/2406.00345 (2024) - [i10]Zhi Zhou, Jiang-Xin Shi, Peng-Xiao Song, Xiaowen Yang, Yi-Xuan Jin, Lan-Zhe Guo, Yu-Feng Li:
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. CoRR abs/2406.04614 (2024) - [i9]Jiang-Xin Shi, Chi Zhang, Tong Wei, Yu-Feng Li:
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. CoRR abs/2406.12638 (2024) - [i8]Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang:
Vision-Language Models are Strong Noisy Label Detectors. CoRR abs/2409.19696 (2024) - 2023
- [c3]Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yufeng Li:
How Re-sampling Helps for Long-Tail Learning? NeurIPS 2023 - [i7]Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yufeng Li:
Parameter-Efficient Long-Tailed Recognition. CoRR abs/2309.10019 (2023) - [i6]Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yufeng Li:
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR abs/2310.03324 (2023) - [i5]Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li:
How Re-sampling Helps for Long-Tail Learning? CoRR abs/2310.18236 (2023) - 2022
- [c2]Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang:
Prototypical Classifier for Robust Class-Imbalanced Learning. PAKDD (2) 2022: 44-57 - [i4]Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo:
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data. CoRR abs/2205.13358 (2022) - [i3]Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang:
A Survey on Extreme Multi-label Learning. CoRR abs/2210.03968 (2022) - 2021
- [c1]Tong Wei, Jiang-Xin Shi, Yufeng Li:
Probabilistic Label Tree for Streaming Multi-Label Learning. KDD 2021: 1801-1811 - [i2]Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li:
Robust Long-Tailed Learning under Label Noise. CoRR abs/2108.11569 (2021) - [i1]Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang:
Prototypical Classifier for Robust Class-Imbalanced Learning. CoRR abs/2110.11553 (2021)
Coauthor Index
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