Probabilistic Label Tree for Streaming Multi-Label Learning. - Tong Wei 001; Jiang-Xin Shi; Yufeng Li 008 (KDD, 2021)

Robust Long-Tailed Learning under Label Noise. - Tong Wei 001; Jiang-Xin Shi; Wei-Wei Tu; Yufeng Li 008 (CoRR, 2021)

Prototypical Classifier for Robust Class-Imbalanced Learning. - Tong Wei 001; Jiang-Xin Shi; Yufeng Li 008; Min-Ling Zhang (PAKDD (2), 2022)

A Survey on Extreme Multi-label Learning. - Tong Wei 001; Zhen Mao; Jiang-Xin Shi; Yufeng Li 008; Min-Ling Zhang (CoRR, 2022)

How Re-sampling Helps for Long-Tail Learning? - Jiang-Xin Shi; Tong Wei 001; Yuke Xiang; Yufeng Li 008 (NeurIPS, 2023)

Parameter-Efficient Long-Tailed Recognition. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Xin-Yan Han; Jie-Jing Shao; Yufeng Li 008 (CoRR, 2023)

Investigating the Limitation of CLIP Models: The Worst-Performing Categories. - Jie-Jing Shao; Jiang-Xin Shi; Xiaowen Yang; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2023)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. - Zhi Zhou 007; Ming Yang; Jiang-Xin Shi; Lan-Zhe Guo; Yufeng Li 008 (ICML, 2024)

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts. - Jiang-Xin Shi; Tong Wei 001; Zhi Zhou 007; Jie-Jing Shao; Xin-Yan Han; Yufeng Li 008 (ICML, 2024)

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model. - Jiang-Xin Shi; Chi Zhang; Tong Wei 001; Yufeng Li 008 (KDD, 2024)

Vision-Language Models are Strong Noisy Label Detectors. - Tong Wei 001; Hao-Tian Li; Chun-Shu Li; Jiang-Xin Shi; Yufeng Li 008; Min-Ling Zhang (NeurIPS, 2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. - Zhi Zhou; Ming Yang; Jiang-Xin Shi; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2024)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model. - Zhi Zhou 007; Jiang-Xin Shi; Peng-Xiao Song; Xiaowen Yang; Yi-Xuan Jin; Lan-Zhe Guo; Yufeng Li 008 (CoRR, 2024)

Transfer and share: semi-supervised learning from long-tailed data. - Tong Wei 001; Qian-Yu Liu; Jiang-Xin Shi; Wei-Wei Tu; Lan-Zhe Guo (Mach. Learn., 2024)

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM. - Zhi Zhou; Kun-Yang Yu; Shi-Yu Tian; Xiao-Wen Yang; Jiang-Xin Shi; Peng-Xiao Song; Yi-Xuan Jin; Lan-Zhe Guo; Yu-Feng Li (CoRR, 2025)

LIFT+: Lightweight Fine-Tuning for Long-Tail Learning. - Jiang-Xin Shi; Tong Wei; Yu-Feng Li (CoRR, 2025)