| Free Lunch for Few-shot Learning: Distribution Calibration S Yang, L Liu, M Xu ICLR 2021 (Oral), 2021 | 332 | 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, ... CVPR 2022, 2022 | 136 | 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 | 63 | 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, 2021 | 63 | 2021 |
| 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 ICML 2022, 2022 | 61 | 2022 |
| PartImageNet: A Large, High-Quality Dataset of Parts J He, S Yang, SK Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... ECCV 2022, 2022 | 51 | 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 | 48 | 2021 |
| Dataset Pruning: Reducing Training Data by Examining Generalization Influence S Yang, Z Xie, H Peng, M Xu, M Sun, P Li ICLR 2023, 2023 | 46 | 2023 |
| Single-view 3d object reconstruction from shape priors in memory S Yang, M Xu, H Xie, S Perry, J Xia CVPR 2021, 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, 2021 | 29 | 2021 |
| Objects in semantic topology S Yang, P Sun, Y Jiang, X Xia, R Zhang, Z Yuan, C Wang, P Luo, M Xu ICLR 2022, 2022 | 27 | 2022 |
| 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 | 22 | 2022 |
| 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 | 20 | 2023 |
| Adaptive Semantic-Visual Tree for Hierarchical Embeddings S Yang, W Yu, Y Zheng, H Yao, T Mei ACM Multimedia 2019, 2020 | 18 | 2020 |
| 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 CVPR 2023, 2023 | 10 | 2023 |
| 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 | 9 | 2024 |
| 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, 0 | 9 | |
| Large-scale dataset pruning with dynamic uncertainty M He, S Yang, T Huang, B Zhao arXiv preprint arXiv:2306.05175, 2023 | 7 | 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 | 2 | 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 |
