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Fu Zhang

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Conference Open access 2026

ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction

The ATGL serves as a general optimization objective that can be readily applied to different DocRE models and outperforms other DocRE losses and achieves state-of-the-art results, while consistently improving the performance of existing DocRE models.

Huangming Xu, Fu Zhang, Zhixuan Yang et al. · 0 citations
Book Open access Aug 2026

End-to-End Structured Information Extraction from Mixed-Script Documents in Open Compositional Symbol Systems

JZ-Tab is proposed, the first framework dedicated to the automated recognition of Jianzi Pu, which functions as an end-to-end structured visual information extraction system for mixed-script documents and introduces music-structured generation, injecting sequential regularities derived from symbolic music logic into the learning process.

Zehan Li, Fu Zhang, Zhijun Liu et al. · 0 citations