研究成果

2025

  • [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) · 3242--3249
  • [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) · 125407

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) · 16557--16569

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) · 933--951
  • [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) · no.page
  • [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) · no.page
  • [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) · 660-665
  • [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) · 3883 - 3902
  • [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) · 619-623
  • [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 Trans. Asian Low-Resour. Lang. Inf. Process. (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) · 575-602

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) · 1574-1580
  • [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) · 1480-1487

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