| Towards effective clustered federated learning: A peer-to-peer framework with adaptive neighbor matching Z Li, J Lu, S Luo, D Zhu, Y Shao, Y Li, Z Zhang, Y Wang, C Wu IEEE Transactions on Big Data, 2022 | 26* | 2022 |
| Universal domain adaptation via compressive attention matching D Zhu, Y Li, J Yuan, Z Li, K Kuang, C Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization Y Tong, J Yuan, M Zhang, D Zhu, K Zhang, F Wu, K Kuang ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023, 2023 | 6 | 2023 |
| Generalized Universal Domain Adaptation with Generative Flow Networks D Zhu, Y Li, Y Shao, J Hao, F Wu, K Kuang, J Xiao, C Wu ACM International Conference on Multimedia (MM) 2023, 2023 | 6 | 2023 |
| Ensemble federated adversarial training with non-iid data S Luo, D Zhu, Z Li, C Wu FTL-IJCAI 2021, 2021 | 6 | 2021 |
| Bridging the gap: neural collapse inspired prompt tuning for generalization under class imbalance D Zhu, Y Li, M Zhang, J Yuan, J Liu, K Kuang, C Wu arXiv preprint arXiv:2306.15955, 2023 | 4 | 2023 |
| Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models D Zhu, Z Sun, Z Li, T Shen, K Yan, S Ding, K Kuang, C Wu arXiv preprint arXiv:2402.12048, 2024 | 2 | 2024 |
| Improving Group Connectivity for Generalization of Federated Deep Learning Z Li, J Lin, Z Li, D Zhu, C Wu arXiv preprint arXiv:2402.18949, 2024 | | 2024 |
| RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner Y Zang, C Fu, R Cao, D Zhu, M Zhang, W Hu, L Zhu, T Chen arXiv preprint arXiv:2402.05589, 2024 | | 2024 |
| 群体智能中的协作与对抗 朱迪迪， 吴超 计算机科学 49 (11A), 210900249-7, 0 | | |
chao wuZhejiang UniversityVerified email at zju.edu.cn
