| Fedrs: Federated learning with restricted softmax for label distribution non-iid data XC Li, DC Zhan Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 104 | 2021 |
| Fedphp: Federated personalization with inherited private models XC Li, DC Zhan, Y Shao, B Li, S Song Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 66 | 2021 |
| Federated learning with position-aware neurons XC Li, YC Xu, S Song, B Li, Y Li, Y Shao, DC Zhan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Asymmetric temperature scaling makes larger networks teach well again XC Li, WS Fan, S Song, Y Li, S Yunfeng, DC Zhan Advances in neural information processing systems 35, 3830-3842, 2022 | 27 | 2022 |
| Deep multiple instance selection XC Li, DC Zhan, JQ Yang, Y Shi Science China Information Sciences 64, 1-15, 2021 | 26 | 2021 |
| Task cooperation for semi-supervised few-shot learning HJ Ye, XC Li, DC Zhan Proceedings of the AAAI conference on artificial intelligence 35 (12), 10682 …, 2021 | 19 | 2021 |
| Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. ZY Fu, DC Zhan, XC Li, YX Lu IJCAI, 2336-2342, 2019 | 13 | 2019 |
| Aggregate or not? exploring where to privatize in dnn based federated learning under different non-iid scenes XC Li, L Gan, DC Zhan, Y Shao, B Li, S Song arXiv preprint arXiv:2107.11954, 2021 | 12 | 2021 |
| Aligning model outputs for class imbalanced non-IID federated learning L Li, D Zhan, X Li Machine Learning 113 (4), 1861-1884, 2024 | 9 | 2024 |
| Avoid overfitting user specific information in federated keyword spotting XC Li, JL Tang, S Song, B Li, Y Li, Y Shao, L Gan, DC Zhan Proceedings of the 23rd INTERSPEECH Conference, 3869-3873, 2022 | 8 | 2022 |
| Towards understanding transfer learning algorithms using meta transfer features XC Li, DC Zhan, JQ Yang, Y Shi, C Hang, Y Lu Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 8 | 2020 |
| Bottom-up and top-down graph pooling JQ Yang, DC Zhan, XC Li Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 5 | 2020 |
| MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes XC Li, S Song, Y Li, B Li, Y Shao, Y Yang, DC Zhan IEEE Transactions on Knowledge and Data Engineering, 2024 | 4 | 2024 |
| MrTF: model refinery for transductive federated learning XC Li, Y Yang, DC Zhan Data Mining and Knowledge Discovery 37 (5), 2046-2069, 2023 | 4 | 2023 |
| Exploring transferability measures and domain selection in cross-domain slot filling XC Li, YJ Wang, L Gan, DC Zhan ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Preliminary steps towards federated sentiment classification XC Li, L Li, DC Zhan, Y Shao, B Li, S Song arXiv preprint arXiv:2107.11956, 2021 | 3 | 2021 |
| Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks XC Li, JL Tang, B Zhang, L Li, DC Zhan arXiv preprint arXiv:2405.12489, 2024 | 2 | 2024 |
| Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch XC Li, WS Fan, B Tao, L Gan, DC Zhan arXiv preprint arXiv:2405.13078, 2024 | 1 | 2024 |
| CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning B Tao, L Li, XC Li, DC Zhan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Federated Learning with Position-Aware Neurons-Supplementary XC Li, YC Xu, S Song, B Li, Y Li, Y Shao, DC Zhan PAN 4 (6), 6, 2022 | 1 | 2022 |
De-Chuan ZhanNanjing University, China在 nju.edu.cn 的电子邮件经过验证
De-Chuan ZhanNanjing University, China在 nju.edu.cn 的电子邮件经过验证