Author

Yunzhi Hao

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Open access 2026

Marginal Contribution Evaluation of Federated Learning Clients With Generalization Gap Dynamics

Experimental results demonstrate that the proposed <inline-formula> <tex-math notation="LaTeX">$FedG^{2}$ </tex-math></inline-formula> outperforms widely-used baselines and achieves good performance on various heterogeneous settings.

Jing Cao, Yunzhi Hao, Canghong Jin · IEEE Access · 0 citations

Open access 2026

Template-to-Text: Hierarchical Structure-Aware Retrieval for Controllable Document Generation

This work proposes a pioneering hierarchical structure-retrieved generation framework (HS-RAG) that reconceptualizes the generation task as a systematic retrieval-alignment-fusion process from template to text, marking a fundamental paradigm shift from spontaneous generation to grounded structural anchoring.

Yongpan Wang, Yu Tan, Mingli Song et al. · IEEE Access · 0 citations