| 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 | 63 | 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 | 33 | 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 | 26 | 2022 |
| 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 |
| 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 arXiv preprint arXiv:2206.08864, 2022 | 8 | 2022 |
| 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 |
| 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 |
| EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information S Song, H Cui, S Chen, Q Liu, R Jiang Quantitative Biology 7 (3), 233-243, 2019 | 2 | 2019 |
| Machine learning model training method and related device Y Shao, S Shaoming, W Li, K Guo, L Qian US Patent App. 18/185,550, 2023 | 1 | 2023 |
| 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 |
| Loosely coupled federated learning over generative models S Song, Y Shao, J Li arXiv preprint arXiv:2009.12999, 2020 | 1 | 2020 |
| Model training method, data processing method, and apparatus Z De-Chuan, LI Xinchun, S Shaoming, Y Shao, LI Bingshuai, L Qian US Patent App. 18/327,952, 2023 | | 2023 |
| SIP: An Interchangeable Pipeline for scRNA-seq Data Processing S Chen, Z Wei, Y Chen, K Hua, W Zhang, C Liu, H Gao, H Sun, Z Wang, ... bioRxiv, 456772, 2018 | | 2018 |
De-Chuan ZhanNanjing University, China在 nju.edu.cn 的电子邮件经过验证
