Zekun Shi

According to our database, Zekun Shi authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Empirical Study of Federated Prompt Learning for Vision Language Model.

Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye

CoRR, May, 2025

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.

Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du

CoRR, March, 2025

Kindle Federated Generalization With Domain Specialized and Invariant Knowledge.

Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du

IEEE Trans. Inf. Forensics Secur., 2025

Self-knowledge distillation with dimensional history knowledge.

Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du

Sci. China Inf. Sci., 2025

2024

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.

Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.

Wenke Huang, Mang Ye, Zekun Shi, Bo Du

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.

Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye

CoRR, 2024

Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory.

Tianbo Li, Min Lin, Stephen Dale, Zekun Shi, A. H. Castro Neto, Kostya S. Novoselov, Giovanni Vignale

CoRR, 2024

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators.

Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Amortized Eigendecomposition for Neural Networks.

Tianbo Li, Zekun Shi, Jiaxi Zhao, Min Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning.

Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning.

Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning.

Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks.

Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi

CoRR, 2023

Rethinking Federated Learning with Domain Shift: A Prototype View.

Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2019

Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization.

Pengqian Yu, Joon Sern Lee, Ilya Kulyatin, Zekun Shi, Sakyasingha Dasgupta

CoRR, 2019