| Federated mutual learning T Shen, J Zhang, X Jia, F Zhang, G Huang, P Zhou, K Kuang, F Wu, C Wu arXiv preprint arXiv:2006.16765, 2020 | 52 | 2020 |
| Federated learning with label distribution skew via logits calibration J Zhang, Z Li, B Li, J Xu, S Wu, S Ding, C Wu International Conference on Machine Learning, 26311-26329, 2022 | 19 | 2022 |
| Dense: Data-free one-shot federated learning J Zhang, C Chen, B Li, L Lyu, S Wu, S Ding, C Shen, C Wu Advances in Neural Information Processing Systems 35, 21414-21428, 2022 | 18* | 2022 |
| Towards efficient data free black-box adversarial attack J Zhang, B Li, J Xu, S Wu, S Ding, L Zhang, C Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Study on the secant segmentation algorithm of rubber tree S Li, J Zhang, J Zhang, L Sun, Y Liu Journal of Physics: Conference Series 1004 (1), 012033, 2018 | 12 | 2018 |
| IDEAL: Query-Efficient Data-Free Learning from Black-Box Models J Zhang, C Chen, L Lyu The Eleventh International Conference on Learning Representations, 2023 | 6* | 2023 |
| Adversarial examples for good: Adversarial examples guided imbalanced learning J Zhang, L Zhang, G Li, C Wu 2022 IEEE International Conference on Image Processing (ICIP), 136-140, 2022 | 4 | 2022 |
| FedDTG: Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Z Zhang, T Shen, J Zhang, C Wu arXiv preprint arXiv:2201.03169, 2022 | 3 | 2022 |
| Delving into the adversarial robustness of federated learning J Zhang, B Li, C Chen, L Lyu, S Wu, S Ding, C Wu arXiv preprint arXiv:2302.09479, 2023 | 2 | 2023 |
| Accelerating Dataset Distillation via Model Augmentation L Zhang, J Zhang, B Lei, S Mukherjee, X Pan, B Zhao, C Ding, Y Li, D Xu arXiv preprint arXiv:2212.06152, 2022 | 2 | 2022 |
| Gear: a margin-based federated adversarial training approach C Chen, J Zhang, L Lyu International Workshop on Trustable, Verifiable, and Auditable Federated …, 2022 | 1 | 2022 |
| Addressing Catastrophic Forgetting in Federated Class-Continual Learning J Zhang, C Chen, W Zhuang, L Lv arXiv preprint arXiv:2303.06937, 2023 | | 2023 |
| Boosting Pruned Networks with Linear Over-parameterization Y Qian, S Pan, J Zhang, X Li, L Hou, K Qiu, X Tu arXiv preprint arXiv:2204.11444, 2022 | | 2022 |
