| Learning target-aware representation for visual tracking via informative interactions M Guo, Z Zhang, H Fan, L Jing, Y Lyu, B Li, W Hu arXiv preprint arXiv:2201.02526, 2022 | 35 | 2022 |
| Deep generative model for robust imbalance classification X Wang, Y Lyu, L Jing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
| Deep generative mixture model for robust imbalance classification X Wang, L Jing, Y Lyu, M Guo, J Wang, H Liu, J Yu, T Zeng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2897-2912, 2022 | 15 | 2022 |
| Siamese transformer with hierarchical concept embedding for fine-grained image recognition Y Lyu, L Jing, J Wang, M Guo, X Wang, J Yu Science China Information Sciences 66 (3), 132107, 2023 | 4 | 2023 |
| Smooth Soft-Balance Discriminative Analysis for imbalanced data X Wang, L Jing, Y Lyu, M Guo, T Zeng Knowledge-Based Systems 228, 106604, 2021 | 3 | 2021 |
| Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation Y Lyu, L Wang, X Zhang, Z Sun, H Su, J Zhu, L Jing Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Recognizable information bottleneck Y Lyu, X Liu, M Song, X Wang, Y Peng, T Zeng, L Jing arXiv preprint arXiv:2304.14618, 2023 | 2 | 2023 |
| Vmf loss: Exploring a scattered intra-class hypersphere for few-shot learning X Liu, S Wang, K Zhou, Y Lyu, M Song, L Jing, T Zeng, J Yu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
| Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning X Liu, Y Lyu, L Jing, T Zeng, J Yu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
