Jiang-Xin Shi

Orcid: 0000-0002-0318-0911

According to our database1, Jiang-Xin Shi authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Transfer and share: semi-supervised learning from long-tailed data.
Mach. Learn., April, 2024

Vision-Language Models are Strong Noisy Label Detectors.
CoRR, 2024

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.
CoRR, 2024

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection.
CoRR, 2024

Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Investigating the Limitation of CLIP Models: The Worst-Performing Categories.
CoRR, 2023

Parameter-Efficient Long-Tailed Recognition.
CoRR, 2023

How Re-sampling Helps for Long-Tail Learning?
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.
CoRR, 2022

Prototypical Classifier for Robust Class-Imbalanced Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Robust Long-Tailed Learning under Label Noise.
CoRR, 2021

Probabilistic Label Tree for Streaming Multi-Label Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021


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