Hu Zhang

Orcid: 0000-0003-0912-4870

Affiliations:
  • Shanxi University, School of Computer and Information Technology, Taiyuan, China


According to our database1, Hu Zhang authored at least 39 papers between 2008 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Mitigating Hallucinations in Large Vision-Language Models via Visual-Enhanced Contrastive Decoding.
IEEE Trans. Multim., 2026

Problem decomposition guided by reasoning utility for complex reasoning in LLMs.
Inf. Process. Manag., 2026

SRCR: Faithful structured reasoning with curriculum reinforcement learning for explainable question answering.
Inf. Process. Manag., 2026

Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Visual Story Generation Model Guided by Multi Granularity Image Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2025

Weakly-supervised explainable question answering via question aware contrastive learning and adaptive gate mechanism.
Inf. Sci., 2025

Multi-granularity contrastive zero-shot learning model based on attribute decomposition.
Inf. Process. Manag., 2025

Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models.
Neurocomputing, 2025

Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Enhancing Event Causality Identification with LLM Knowledge and Concept-Level Event Relations.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
EADRE: Event-type Aware Dynamic Representation of Entities in Document-level Event Extraction.
ACM Trans. Asian Low Resour. Lang. Inf. Process., December, 2024

Heterogeneous-Graph Reasoning With Context Paraphrase for Commonsense Question Answering.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Knowledge-Enhanced Context Representation for Unbiased Scene Graph Generation.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Concept and dependencies enhanced graph convolutional networks for short text classification.
J. Intell. Fuzzy Syst., December, 2023

Automatic short answer grading by encoding student responses via a graph convolutional network.
Interact. Learn. Environ., April, 2023

Joint Entity and Relation Extraction for Legal Documents Based on Table Filling.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dual-Branch Contrastive Learning for Network Representation Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-granularity Contrastive Siamese Networks for Abstractive Text Summarization.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Legal Judgment Elements Extraction Approach with Law Article-aware Mechanism.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Network representation learning method embedding linear and nonlinear network structures.
Semantic Web, 2022

Research on Answer Generation for Chinese Gaokao Reading Comprehension.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Frame Semantics guided network for Abstractive Sentence Summarization.
Knowl. Based Syst., 2021

Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Knowledge-Guided Framework for Frame Identification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Applying Model Fusion to Augment Data for Entity Recognition in Legal Documents.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

The Sentencing-Element-Aware Model for Explainable Term-of-Penalty Prediction.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

2019
面向法律裁判文书的法条推荐方法 (Law Article Prediction Method for Legal Judgment Documents).
计算机科学, 2019

Applying Data Discretization to DPCNN for Law Article Prediction.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018
Optimization and Application of Clustering Algorithm in Community Discovery.
Wirel. Pers. Commun., 2018

Using Sentence-Level Neural Network Models for Multiple-Choice Reading Comprehension Tasks.
Wirel. Commun. Mob. Comput., 2018

2016
Word Sense Disambiguation Using Context Translation.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

2014
Multigranulation decision-theoretic rough sets.
Int. J. Approx. Reason., 2014

Set-based granular computing: A lattice model.
Int. J. Approx. Reason., 2014

2009
Deception Detection Based on SVM for Chinese Text in CMC.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

2008
A Chinese Word Segmentation System Based on Cascade Model.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008


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