Shi, Jiang-Xin

6 publications

NeurIPS 2025 X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection Tong Wei, Bo-Lin Wang, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

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

ICML 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li

MLJ 2024 Transfer and Share: Semi-Supervised Learning from Long-Tailed Data Tong Wei, Qian-Yu Liu, Jiang-Xin Shi, Wei-Wei Tu, Lan-Zhe Guo

NeurIPS 2024 Vision-Language Models Are Strong Noisy Label Detectors Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

NeurIPS 2023 How Re-Sampling Helps for Long-Tail Learning? Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li