Zekun Shi

24 papers A* 8Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
An Empirical Study of Federated Prompt Learning for Vision Language Model.
IJCAI
Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025 J jnl
An Empirical Study of Federated Prompt Learning for Vision Language Model.
CoRR
Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025 J jnl
BiaMix Contrastive Learning and Memory Similarity Distillation in Class-Incremental Learning.
CAAI Trans. Intell. Technol.
Mang Ye, Wenke Huang, Zekun Shi, Zhiwei Ye, Bo Du
2025 J jnl
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.
CoRR
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
2025 J jnl
Kindle Federated Generalization With Domain Specialized and Invariant Knowledge.
IEEE Trans. Inf. Forensics Secur.
Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du
2025 A* conf
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning.
ICML
Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2025 A* conf
Pixel-wise Divide and Conquer for Federated Vessel Segmentation.
IJCAI
Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu
2025 J jnl
Revisiting federated learning with label skew: an over-confidence perspective.
Sci. China Inf. Sci.
Mang Ye, Wenke Huang, Zekun Shi, He Li, Bo Du
2025 J jnl
Self-knowledge distillation with dimensional history knowledge.
Sci. China Inf. Sci.
Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du
2024 A* conf
Amortized Eigendecomposition for Neural Networks.
NeurIPS
Tianbo Li, Zekun Shi, Jiaxi Zhao, Min Lin
2024 J jnl
Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory.
CoRR
Tianbo Li, Min Lin, Stephen Dale, Zekun Shi, A. H. Castro Neto, Kostya S. Novoselov, Giovanni Vignale
2024 J jnl
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
2024 — conf
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning.
ECCV (15)
Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao
2024 J jnl
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenke Huang, Mang Ye, Zekun Shi, Bo Du
2024 J jnl
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.
CoRR
Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2024 A* conf
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning.
NeurIPS
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du
2024 A* conf
Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning.
ICML
Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du
2024 A* conf
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators.
NeurIPS
Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
2024 J jnl
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators.
CoRR
Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
2023 J jnl
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.
CoRR
Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
2023 J jnl
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.
CoRR
Wenke Huang, Mang Ye, Zekun Shi, Bo Du
2023 J jnl
Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks.
CoRR
Zheyuan Hu, Zekun Shi, George Em Karniadakis, Kenji Kawaguchi
2023 A* conf
Rethinking Federated Learning with Domain Shift: A Prototype View.
CVPR
Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du
2019 J jnl
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization.
CoRR
Pengqian Yu, Joon Sern Lee, Ilya Kulyatin, Zekun Shi, Sakyasingha Dasgupta