Zekun Shi

Orcid: 0009-0002-2050-0486

According to our database1, Zekun Shi authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.
CoRR, 2024

Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory.
CoRR, 2024

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Amortized Eigendecomposition for Neural Networks.
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.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks.
CoRR, 2023

Rethinking Federated Learning with Domain Shift: A Prototype View.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization.
CoRR, 2019


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