Shi, Zekun

10 publications

IJCAI 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye

ICML 2025 Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

IJCAI 2025 Pixel-Wise Divide and Conquer for Federated Vessel Segmentation Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu

NeurIPS 2024 Amortized Eigendecomposition for Neural Networks Tianbo Li, Zekun Shi, Jiaxi Zhao, Min Lin

ECCV 2024 Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao

NeurIPS 2024 Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du

ICML 2024 Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du

NeurIPS 2024 Stochastic Taylor Derivative Estimator: Efficient Amortization for Arbitrary Differential Operators Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi

ICLRW 2023 Neural Integral Functionals Zheyuan Hu, Tianbo Li, Zekun Shi, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, Shuicheng Yan, Min Lin

CVPR 2023 Rethinking Federated Learning with Domain Shift: A Prototype View Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du