Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization. - Pengqian Yu; Joon Sern Lee; Ilya Kulyatin; Zekun Shi; Sakyasingha Dasgupta (CoRR, 2019)

Rethinking Federated Learning with Domain Shift: A Prototype View. - Wenke Huang; Mang Ye; Zekun Shi; He Li; Bo Du 001 (CVPR, 2023)

Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks. - Zheyuan Hu 002; Zekun Shi; George Em Karniadakis; Kenji Kawaguchi (CoRR, 2023)

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. - Wenke Huang; Mang Ye; Zekun Shi; Bo Du 001; Dacheng Tao (ECCV (15), 2024)

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning. - Wenke Huang; Zekun Shi; Mang Ye; He Li; Bo Du 001 (ICML, 2024)

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning. - Wenke Huang; Mang Ye; Zekun Shi; Guancheng Wan; He Li; Bo Du 001 (NeurIPS, 2024)

Amortized Eigendecomposition for Neural Networks. - Tianbo Li; Zekun Shi; Jiaxi Zhao; Min Lin (NeurIPS, 2024)

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. - Zekun Shi; Zheyuan Hu 002; Min Lin; Kenji Kawaguchi (NeurIPS, 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)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. - Wenke Huang; Jian Liang 001; Zekun Shi; Didi Zhu; Guancheng Wan; He Li; Bo Du 001; Dacheng Tao; Mang Ye (CoRR, 2024)

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. - Wenke Huang; Mang Ye; Zekun Shi; Bo Du 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. - Wenke Huang; Mang Ye; Zekun Shi; Guancheng Wan; He Li; Bo Du 001; Qiang Yang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Self-knowledge distillation with dimensional history knowledge. - Wenke Huang; Mang Ye; Zekun Shi; He Li; Bo Du 001 (Sci. China Inf. Sci., 2025)

Kindle Federated Generalization With Domain Specialized and Invariant Knowledge. - Wenke Huang; Mang Ye; Zekun Shi; He Li; Bo Du 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. - Wenke Huang; Jian Liang 001; Xianda Guo; Yiyang Fang; Guancheng Wan; Xuankun Rong; Chi Wen; Zekun Shi; Qingyun Li; Didi Zhu; Yanbiao Ma; Ke Liang; et al. (CoRR, 2025)

An Empirical Study of Federated Prompt Learning for Vision Language Model. - Zhihao Wang; Wenke Huang; Tian-Long Chen 001; Zekun Shi; Guancheng Wan; Yu Qiao; Bin Yang 026; Jian Wang; Bing Li; Mang Ye (CoRR, 2025)