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Lastest Update: 7th Oct 2023.  and mean equal contribution and corresponding author, respectively.

Journal Paper

  • Self-balanced Information Bottleneck for Few-shot Multimodal Information Extraction. Accepted.
    Youwei Wang, Kai Chen, Qiwei Miao, Chengming Liu, Yinghao Li

    Information Processing and Management, 2026.(中科院1区 SCI,CCF B, IF: 8.6)

  • Span-aware pre-trained network with deep information bottleneck for scientific entity relation extraction.
    Youwei Wang, Peicong Cao, Haichuan Fang, Yangdong Ye
    Neural Networks, 2025. (中科院1区 SCI,CCF B, IF: 6.3)

  • Deep Purified Feature Mining Model for Joint Named Entity Recognition and Relation Extraction.
    Youwei Wang, Ying Wang, Zhongchuan Sun, Yinghao Li, Shizhe Hu, Yangdong Ye
    Information Processing and Management, 2023.(中科院1区 SCI,CCF B, IF: 8.6)

  • Multi-modal semantics fusion model for domain relation extraction via information bottleneck.
    Zhao Tian, Xuan Zhao, Xiwang Li, Xiaoping Ma, Yinghao Li, Youwei Wang, Expert Systems with Applications, 2024. (中科院1区 SCI,IF: 8.5)

  • A Domain Semantics-Enhanced Relation extraction Model for Identifying the Railway Safety Risk.
    Youwei Wang, Chegnying Zhu, Qiang Guo, Yangdong Ye
    Complex and Intelligent Systems, 2023. (中科院2区 SCI,IF: 6.7)

Conference Paper

  • Empowering self-balance of deep information bottleneck for multimodal clustering.
    Youwei Wang, Qiwei Miao, Haichuan Fang, Yangdong Ye, Shizhe Hu
    The 35th International Joint Conference on Artificial Intelligence, 2026. (CCF B 类国际会议)

  • CDIB: Consistency Discovery-guided Information Bottleneck for Multi-modal Knowledge Graph Reasoning.
    Haichuan Fang, Haoran Zhang, Yulin Du, Qiang Guo, Zhen Tian, Youwei Wang, Yangdong Ye
    The 33rd ACM International Conference on Multimedia, 2025, (CCF A 类国际会议)

  • Transformer-aware Graph Convolution Networks for Relation Extraction of Railway Safety Risk.
    Youwei Wang, Xiwang Li, Wei She, Yangdong Ye
    The 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation, 2023.

Co-authored Paper