| ProxyMix: Proxy-based mixup training with label refinery for source-free domain adaptation Y Ding, L Sheng, J Liang, A Zheng, R He Neural Networks 167, 92-103, 2023 | 31 | 2023 |
| State space model for new-generation network alternative to transformers: A survey X Wang, S Wang, Y Ding, Y Li, W Wu, Y Rong, W Kong, J Huang, S Li, ... arXiv preprint arXiv:2404.09516, 2024 | 5 | 2024 |
| MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection Y Ding, J Liang, B Jiang, A Zheng, R He IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
| Unsupervised contrastive photo-to-caricature translation based on auto-distortion Y Ding, X Ma, M Luo, A Zheng, R He 2020 25th International Conference on Pattern Recognition (ICPR), 4520-4527, 2021 | 2 | 2021 |
| Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning K Guo, Y Ding, J Liang, R He, Z Wang, T Tan arXiv preprint arXiv:2401.02329, 2024 | 1 | 2024 |
| Unleashing the power of neural collapse for transferability estimation Y Ding, B Jiang, L Sheng, A Zheng, J Liang arXiv preprint arXiv:2310.05754, 2023 | 1 | 2023 |
| Modify: Model-Driven Face Stylization Without Style Images Y Ding, J Liang, J Cao, A Zheng, R He ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Which Model to Transfer? A Survey on Transferability Estimation Y Ding, B Jiang, A Yu, A Zheng, J Liang arXiv preprint arXiv:2402.15231, 2024 | | 2024 |
| Where to Focus: Central Attention-Based Face Forgery Detection J Sun, Y Ding, J Cao, J Duan, A Zheng Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 44-56, 2023 | | 2023 |
| VRLVMix: Combating Noisy Labels with Sample Selection based on Loss Variation H Wang, Z Tu, B Jiang, Y Ding 2023 4th International Conference on Big Data, Artificial Intelligence and …, 2023 | | 2023 |
Jian Liang (梁坚)Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
