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Author

Guangjun Zhang

Observed name: Zhang, Guangjun
Institution: Shanxi University
Observed institution: Shanxi University
ORCID: 0009-0006-6977-6829
Observed ORCID: 0009-0006-6977-6829
OpenAlex ID: A5123887615
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction
2024 · Guangjun Zhang, Hu Zhang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 10
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EADRE: Event-type Aware Dynamic Representation of Entities in Document-level Event Extraction
2024 · Guangjun Zhang, Hu Zhang, et al. · ACM Transactions on Asian and Low-Resource Language Information Processing · 5
Weakly-supervised explainable question answering via question aware contrastive learning and adaptive gate mechanism
2024 · Yue Fan, Hu Zhang, et al. · Information Sciences · 4
SRCR: Faithful structured reasoning with curriculum reinforcement learning for explainable question answering
2026 · Yue Fan, Hu Zhang, et al. · Information Processing & Management · 3
Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction
2026 · Guangjun Zhang, Hu Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
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Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration
2026 · Association for Computational Linguistics 2026, Fan, Yue, et al. · Underline Science Inc.
Query-Guided Prototypical Learning for Few-Shot Document-Level Relation Extraction
2026 · Yazhou Han, Hu Zhang, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction
2026 · Zhang, Guangjun, Zhang, Hu, et al. · arXiv (Cornell University)
Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction
2026 · Zhang, Guangjun, Zhang, Hu, et al. · arXiv (Cornell University)
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Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction
2026 · Association for Artificial Intelligence 2026, Fan, Yue, et al. · Underline Science Inc.
Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration
2026 · Yue Fan, Hu Zhang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification
2025 · Ya Su, Hu Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
Works count: 13
Citation count: 23
H-index: 3
I10-index: 1
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