Didi Zhu
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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
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 K, 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
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
Ensemble federated adversarial training with non-iid data
S Luo, D Zhu, Z Li, C Wu
FTL-IJCAI 2021, 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
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
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
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
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计学 49 (11A), 210900249-7, 0
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