| R2-Trans: Fine-Grained Visual Categorization with Redundancy Reduction S Ye, S Yu, Y Wang, X You Image and Vision Computing, 2022 | 16* | 2022 |
| Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization S Ye, Q Peng, W Sun, J Xu, Y Wang, X You, YM Cheung IEEE Transactions on Neural Networks and Learning Systems, 2022 | 15 | 2022 |
| The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking S Ye, Y Wang, Q Peng, X You, CLP Chen IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 13 | 2023 |
| Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method LS Shuo Ye, Shiming Chen, Ruxin Wang, Tianxu Wu, Salman Khan, Fahad Shahbaz Khan arXiv preprint arXiv:2306.02346, 2024 | 6* | 2024 |
| Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization S Ye, S Yu, W Hou, Y Wang, X You Computer Vision and Image Understanding, 2023 | 6 | 2023 |
| Causal Visual-semantic Correlation for Zero-shot Learning S Chen, D Fu, S Chen, S Ye, W Hou, X You Proceedings of the 32nd ACM International Conference on Multimedia, 4246-4255, 2024 | 5 | 2024 |
| Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions T Wu, S Ye, S Chen, Q Peng, X You IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 1 | 2023 |
| GKA: Graph-Guided Knowledge Association for Fine-Grained Visual Categorization Y Wang, S Ye, W Hou, D Xu, X You Neurocomputing, 2025 | | 2025 |
| Filter Pruning based on Information Capacity and Independence XL Tang, S Ye, YF Shi, TH Hu, QM Peng IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
