| Selective-supervised contrastive learning with noisy labels S Li, X Xia, S Ge, T Liu CVPR 2022, 2022 | 162 | 2022 |
| Student network learning via evolutionary knowledge distillation K Zhang, C Zhang, S Li, D Zeng, S Ge IEEE T-CSVT, 2021 | 57 | 2021 |
| Estimating noise transition matrix with label correlations for noisy multi-label learning S Li, X Xia, H Zhang, Y Zhan, S Ge, T Liu NeurIPS 2022 (Spotlight), 2022 | 44 | 2022 |
| VisDrone-SOT2019: The vision meets drone single object tracking challenge results D Du, P Zhu, L Wen, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... ICCVW 2019, 2019 | 41 | 2019 |
| Coupled-view deep classifier learning from multiple noisy annotators S Li, S Ge, Y Hua, C Zhang, H Wen, T Liu, W Wang AAAI 2020, 2020 | 26 | 2020 |
| Cascaded correlation refinement for robust deep tracking S Ge, C Zhang, S Li, D Zeng, D Tao IEEE T-NNLS, 2020 | 18 | 2020 |
| Trustable co-label learning from multiple noisy annotators S Li, T Liu, J Tan, D Zeng, S Ge IEEE T-MM, 2021 | 12 | 2021 |
| Low-resolution face recognition in the wild with mixed-domain distillation S Zhao, X Gao, S Li, S Ge BigMM 2019, 2019 | 5 | 2019 |
| Transferring annotator- and instance-dependent transition matrix for learning from crowds S Li, X Xia, J Deng, S Ge, T Liu IEEE T-PAMI, 2024 | 4 | 2024 |
| Coupled confusion correction: learning from crowds with sparse annotations H Zhang, S Li, D Zeng, C Yan, S Ge AAAI 2024, 2024 | 3 | 2024 |
| Model conversion via differentially private data-free distillation B Liu, P Wang, S Li, D Zeng, S Ge IJCAI 2023, 2023 | 2 | 2023 |
| M3D: Dataset condensation by minimizing maximum mean discrepancy H Zhang, S Li, P Wang, D Zeng, S Ge AAAI 2024, 2024 | 1* | 2024 |
| Multi-label noise transition matrix estimation with label correlations: theory and algorithm S Li, X Xia, H Zhang, S Ge, T Liu arxiv preprint arXiv:2309.12706, 2023 | 1 | 2023 |
| DANCE: Dual-view distribution alignment for dataset condensation H Zhang, S Li, F Li, W Wang, Z Qian, S Ge IJCAI 2024, 2024 | | 2024 |
| Multimodal composition example mining for composed query image retrieval G Zhang, S Li, S Wei, S Ge, N Cai, Y Zhao IEEE T-IP, 2024 | | 2024 |
| Federated learning with label-masking distillation J Lu, S Li, K Bao, P Wang, Z Qian, S Ge ACM MM 2023 (Oral), 2023 | | 2023 |
Shiming GeInstitute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
