| Free lunch for few-shot learning: Distribution calibration S Yang, L Liu, M Xu International Conference on Learning Representations 2021 (Oral), 2021 | 339 | 2021 |
| Cafe: Learning to condense dataset by aligning features K Wang, B Zhao, X Peng, Z Zhu, S Yang, S Wang, G Huang, H Bilen, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 142 | 2022 |
| Graph-based few-shot learning with transformed feature propagation and optimal class allocation R Zhang, S Yang, Q Zhang, L Xu, Y He, F Zhang Elsevier Neurocomputing 2021 470, 247-256, 2022 | 65 | 2022 |
| Semantically contrastive learning for low-light image enhancement D Liang, L Li, M Wei, S Yang, L Zhang, W Yang, Y Du, H Zhou Proceedings of the AAAI conference on artificial intelligence 36 (2), 1555-1563, 2022 | 64 | 2022 |
| Estimating instance-dependent bayes-label transition matrix using a deep neural network S Yang, E Yang, B Han, Y Liu, M Xu, G Niu, T Liu International Conference on Machine Learning, 25302-25312, 2022 | 63 | 2022 |
| Partimagenet: A large, high-quality dataset of parts J He, S Yang, S Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... European Conference on Computer Vision, 128-145, 2022 | 53 | 2022 |
| Dataset pruning: Reducing training data by examining generalization influence S Yang, Z Xie, H Peng, M Xu, M Sun, P Li International Conference on Learning Representations 2023, 2022 | 52 | 2022 |
| Does preprocessing help training over-parameterized neural networks? Z Song, S Yang, R Zhang Advances in Neural Information Processing Systems 34, 22890-22904, 2021 | 50 | 2021 |
| Single-view 3d object reconstruction from shape priors in memory S Yang, M Xu, H Xie, S Perry, J Xia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 39 | 2021 |
| Bridging the gap between few-shot and many-shot learning via distribution calibration S Yang, S Wu, T Liu, M Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9830 …, 2021 | 30 | 2021 |
| Objects in semantic topology S Yang, P Sun, Y Jiang, X Xia, R Zhang, Z Yuan, C Wang, P Luo, M Xu International Conference on Learning Representations 2022, 2021 | 29 | 2021 |
| U2D2Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement B Ding, R Zhang, L Xu, G Liu, S Yang, Y Liu, Q Zhang IEEE Transactions on Multimedia, 2023 | 24 | 2023 |
| An efficient multitask neural network for face alignment, head pose estimation and face tracking J Xia, H Zhang, S Wen, S Yang, M Xu Expert Systems with Applications 205, 117368, 2022 | 21 | 2022 |
| Adaptive semantic-visual tree for hierarchical embeddings S Yang, W Yu, Y Zheng, H Yao, T Mei Proceedings of the 27th ACM International Conference on Multimedia, 2097-2105, 2019 | 18 | 2019 |
| Data-efficient Fine-tuning for LLM-based Recommendation X Lin, W Wang, Y Li, S Yang, F Feng, Y Wei, TS Chua arXiv preprint arXiv:2401.17197, 2024 | 11 | 2024 |
| Bicro: Noisy correspondence rectification for multi-modality data via bi-directional cross-modal similarity consistency S Yang, Z Xu, K Wang, Y You, H Yao, T Liu, M Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Reliable label correction is a good booster when learning with extremely noisy labels K Wang, X Peng, S Yang, J Yang, Z Zhu, X Wang, Y You arXiv preprint arXiv:2205.00186, 2022 | 9 | 2022 |
| Large-scale dataset pruning with dynamic uncertainty M He, S Yang, T Huang, B Zhao arXiv preprint arXiv:2306.05175, 2023 | 8 | 2023 |
| Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation R Zhang, Z Cao, S Yang, L Si, H Sun, L Xu, F Sun IEEE Transactions on Neural Networks and Learning Systems, 2024 | 5 | 2024 |
| A parametrical model for instance-dependent label noise S Yang, S Wu, E Yang, B Han, Y Liu, M Xu, G Niu, T Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
