Jiang-Xin Shi

According to our database, Jiang-Xin Shi authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Mach. Learn., April, 2024

2023

Investigating the Limitation of CLIP Models: The Worst-Performing Categories.

Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yu-Feng Li

CoRR, 2023

Parameter-Efficient Long-Tailed Recognition.

Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yu-Feng Li

CoRR, 2023

How Re-sampling Helps for Long-Tail Learning?

Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Survey on Extreme Multi-label Learning.

Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

CoRR, 2022

Prototypical Classifier for Robust Class-Imbalanced Learning.

Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Robust Long-Tailed Learning under Label Noise.

Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li

CoRR, 2021

Probabilistic Label Tree for Streaming Multi-Label Learning.

Tong Wei, Jiang-Xin Shi, Yu-Feng Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021