全部年份

研究成果

按年份整理实验室近年来发表的代表性论文与会议成果。

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2026

  • KSEM

    QAlign-RAG: Causal-Aware Pseudo-Question Generation and Debate-Driven Verification for Medical RAG

    Liu, Maolin, Yang, Qi, Wang, Hao · In Proceedings of the 19th International Conference on Knowledge Science, Engineering and Management (KSEM, CCF-C)

  • IPM

    HeterMV: Multi-view reasoning over source-aware heterogeneous evidence graph for multi-source fact verification

    Gu, Junnan, Li, Weimin*, Liu, Fangfang, Liu, Wei, Hao, Wang · Information Processing & Management (SCI Q1/SSCI Q1/CCF-B)

  • NEUCO

    MoE-TextDiffuser: Fine-grained control of font and color in visual text rendering

    Chen, Bin, Liu, Maolin, Hao, Wang* · Neurocomputing (SCI Q2/CCF-C)

2025

  • TALLIP

    Mixed Information Bottleneck for Location Metonymy Resolution Using Pre-trained Language Models

    Wang, Hao, Li, Tang, Du, Siyuan, Wei, Xiao* · ACM Transactions on Asian and Low-Resource Language Information Processing (SCI/CCF-C)

  • ARTI

    Building from Scratch: A Multi-Agent Framework with Human-in-the-Loop for Multilingual Legal Terminology Mapping

    Meng, Lingyi, Liu, Maolin, Wang, Hao*, Cheng, Yilan, Yang, Qi, Mohammed, Idlkaid · Artificial Intelligence and Law (SCI Q2/SSCI Q1)

  • ICIP

    Reading between the lines: How eye-tracking data can inform reading strategies for large language models

    Wang, Hao, Wang, Qingxuan, Zhang, Huiran, Zhu, Pinpin* · In Proceedings of 2025 IEEE International Conference on Image Processing (ICIP, CCF-C)

  • ICIP

    FC-RENDER: Adaptive Font- and Color-Aware Text Ddiffusion Model

    Chen, Bin, Wang, Hao*, Zhang, Xilin, Zhu, Pinpin · In Proceedings of 2025 IEEE International Conference on Image Processing (ICIP, CCF-C)

  • CogSci

    Cognitive Insights into Document Comprehension: The Role of Reading Order and Visual Attention in Human and Large Language Models

    Wang, Qingxuan, Wang, Hao*, Zhang, Huiran, Chu, Chenhui, Wang, Rui, Zhu, Pinpin · In Proceedings of the 47th Annual Meeting of the Cognitive Science Society (CogSci, CCF-B)

  • ICDAR

    InfoDesignLM: An LLM for Interactive and Controllable Infographic Designing Through Text

    Zhang, Xilin, Wang, Hao, Dai, Jianbiao, Zhu, Pinpin · Proceedings of the International Conference on Document Analysis and Recognition (ICDAR, CCF-C)

  • ICDAR

    HiDReader: Human-Inspired Document Reading Agent via Reinforcement Learning

    Wang, Changqing, Wang, Hao*, Zhu, Pinpin, Zhang, Huiran · Proceedings of the International Conference on Document Analysis and Recognition (ICDAR, CCF-C)

  • ESWA

    Exploring multi-granularity contextual semantics for fully inductive knowledge graph completion

    Jingchao Wang, Weimin Li, Alex Munyole Luvembe, Xiao Yu, Xinyi Zhang, Fangyu Liu, Fangfang Liu, Hao Wang, Zhenhai Wang, Qun Jin · Expert Systems with Applications (SCI Q1/CCF-C)

2024

  • CCPE

    Open-domain event schema induction via weighted attentive hypergraph neural network

    Wei Qin, Hao Wang, Xiangfeng Luo · Concurr. Comput. Pract. Exp. (SCI/CCF-C)

  • COLING

    Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents

    Wang, Hao, Li, Tang, Chu, Chenhui, Wang, Rui, Zhu, Pinpin · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024, CCF-B)

2023

  • JSEKE

    Enhancing Answer Selection via Ad-Hoc Knowledge Extraction from Unstructured Web Texts

    Shengwei Gu, Xiangfeng Luo, Hao Wang · Int. J. Softw. Eng. Knowl. Eng. (SCI/CCF-C)

  • EMNLP

    Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning

    Wang, Hao, Chen, Xiahua, Wang, Rui, Chu, Chenhui · The 2023 Conference on Empirical Methods in Natural Language Processing, Main (CAAI-A/CCF-B)

  • EMNLP

    DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading

    Wang, Hao, Wang, Qingxuan, Li, Yue, Wang, Rui, Chu, Chenhui, Wang, Rui · The 2023 Conference on Empirical Methods in Natural Language Processing, Findings (CAAI-A/CCF-B)

  • SEKE

    Few-Shot Link Prediction using Variational Heterogeneous Attention Networks

    Tao, Xi, Wang, Hao, Luo, Xiangfeng, Zhu, Pinpin · The 35th International Conference on Software Engineering and Knowledge Engineering (CCF-C)

  • NLE

    An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction

    Su, H., H. Wang, X. Luo, S. Xie · Natural Language Engineering (SCI/A&HCI/SSCI Q1)

2022

  • NCAA

    Joint semantic embedding with structural knowledge and entity description for knowledge representation learning

    Wei, X., Zhang, Y., Wang, H. · Neural Computing and Applications (SCI Q2/CCF-C)

  • NLE

    An empirical study of incorporating syntactic constraints into BERT-based location metonymy resolution

    H. Wang, S. Du, X. Zheng, L. Meng · Natural Language Engineering (SCI/A&HCI/SSCI Q1)

  • PRICAI

    Dual-VIE: dual-level graph attention network for visual information extraction

    J. Zhang, H. Wang, X. Luo · The 19th Pacific Rim International Conference on Artificial Intelligence (CCF-C)

2021

  • ES

    MIFAS: multi‐source heterogeneous information fusion with adaptive importance sampling for link prediction

    T. Jiang, H. Wang, X. Luo, S. Xie, J. Wang · Expert Systems (SCI/CCF-C)

  • PAKDD

    Back to prior knowledge: joint event causality extraction via convolutional semantic infusion

    Z. Wang, H. Wang, X. Luo, J. Gao · Pacific-Asia Conference on Knowledge Discovery and Data Mining (CCF-C)

  • ICTAI

    Causal event extraction using iterated dilated convolutions with semantic convolutional filters

    J. Gao, X. Luo, H. Wang, Z. Wang · The 33rd IEEE International Conference on Tools with Artificial Intelligence (CCF-C)

  • CCPE

    Chinese causal event extraction using causality‐associated graph neural network

    J. Gao, X. Luo, H. Wang · Concurrency and Computation: Practice and Experience (SCI/CCF-C)

2020

  • TALLIP

    An extensible framework of leveraging syntactic skeleton for semantic relation classification

    Wang, H., Tao, Q., Du, S., Luo, X. · ACM Transactions on Asian and Low-Resource Language Information Processing (SCI/CCF-C)

  • CCPE

    An uncertain future: Predicting events using conditional event evolutionary graph

    J. Gao, X. Luo, H. Wang · Concurrency and Computation: Practice and Experience (SCI)

  • ES

    Improving answer selection with global features

    S. Gu, X. Luo, H. Wang, J. Huang, Q. Wei, S. Huang · Expert Systems (SCI Q2/CCF-C)

  • ICONIP

    Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network

    X. Pei, H. Wang, X. Luo, J. Gao · International Conference on Neural Information Processing (CCF-C)

  • CCPE

    Improving taxonomic relation learning via incorporating relation descriptions into word embeddings

    S. Huang, X. Luo, J. Huang, H. Wang, S. Gu, Y. Guo · Concurrency and Computation: Practice and Experience (SCI)

  • JWE

    Abstract concept instantiation with context relevance measurement

    Shengwei Gu, X. Luo, H. Wang, Jing Huang, Subin Huang · Journal of Web Engineering (SCI)

2019

  • ICTAI

    Enhancing relation extraction using syntactic indicators and sentential contexts

    Q. Tao, X. Luo, H. Wang · The 31st IEEE International Conference on Tools with Artificial Intelligence (CCF-C)

  • ICTAI

    Multi-task learning for relation extraction

    K. Zhou, X. Luo, H. Wang, R. Xu · The 31st IEEE International Conference on Tools with Artificial Intelligence (CCF-C)