Jiang-Xin Shi
Scholar

Jiang-Xin Shi

Google Scholar ID: KEgtGncAAAAJ
Nanjing University
Machine Learning
Citations & Impact
All-time
Citations
394
 
H-index
10
 
i10-index
12
 
Publications
16
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Journal Paper: 'Long-Tail Learning with Context-Aware Re-sampling', Frontiers of Computer Science (FCS), In Press
  • Journal Paper: 'Robust Long-Tailed Learning under Label Noise', Frontiers of Computer Science (FCS), In Press
  • Journal Paper: 'Residual Diverse Ensemble for Long-Tailed Multi-Label Text Classification', SCIENCE CHINA Information Sciences (SCIS), 2024
  • Journal Paper: 'Transfer and Share: Semi-Supervised Learning from Long-Tailed Data', Machine Learning (MLJ), 2022
  • Conference Paper: 'X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection', NeurIPS 2025
  • Conference Paper: 'Vision-Language Models are Strong Noisy Label Detectors', NeurIPS 2024
  • Conference Paper: 'Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model', KDD 2024
  • Conference Paper: 'Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts', ICML 2024
  • Conference Paper: 'DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection', ICML 2024
  • Conference Paper: 'How Re-sampling Helps for Long-Tail Learning?', NeurIPS 2023
  • Conference Paper: 'Prototypical Classifier for Robust Class-Imbalanced Learning', PAKDD 2022 (Best Paper Award)
  • Conference Paper: 'Probabilistic Label Tree for Streaming Multi-Label Learning', KDD 2021
  • Other Paper: 'Memory-Efficient Fine-Tuning via Low-Rank Activation Compression', arXiv:2509.23472, 2025
Background
  • Research interests include Machine Learning and Data Mining, particularly Long-Tail Learning, Efficient Machine Learning, and Weakly Supervised Learning.
Miscellany
  • Personal interests not provided