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Lastest Update: 17th March 2025.  and mean equal contribution and corresponding author, respectively.

Journal Paper

  • DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation.
    Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, Yangdong Ye
    Information Processing & Management, 2025. (中科院1区 SCI, IF: 7.4)

  • Consistency-constrained RGB-T crowd counting via mutual information maximization.
    Qiang Guo, Pengcheng Yuan, Xiangming Huang, Yangdong Ye
    Complex & Intelligent Systems, 2024. (中科院2区 SCI, IF: 5.0)

  • Learning a deep network with cross-hierarchy aggregation for crowd counting.
    Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay, Yangdong Ye
    Knowledge-Based Systems, 2021. (中科院1区 SCI, IF: 8.1)

  • Multimodal Nonredundant Clustering via Sufficiency Complementary Mining.
    Yiqiao Mao; Xiaoqiang Yan; Qiang Guo; Yangdong Ye
    IEEE Transactions on Industrial Informatics, 2024. (中科院1区 SCI, IF: 11.7)

  • ProNet: A Contrastive Propagation Network for Multimodal Lifelong Clustering.
    Yiqiao Mao, ZiruiHu, Qiang Guo, Xiaoqiang Yan, Yangdong Ye
    Knowledge-Based Systems, 2025. (中科院1区 SCI, IF: 7.2)

  • A domain semantics-enhanced relation extraction model for identifying the railway safety risk.
    Youwei Wang, Chengying Zhu, Qiang Guo, Yangdong Ye
    Complex & Intelligent Systems, 2023. (中科院2区 SCI, IF: 5.0)

Conference Paper

  • Deep mutual information maximin for cross-modal clustering.
    Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye
    Proceedings of the AAAI Conference on Artificial Intelligence, 2021. (CCF推荐A类会议)

Master’s Thesis

  • 混合连接的跨层级聚合人群计数算法研究
    Research on Cross-Hierarchy Aggregation Algorithm with Hybrid Connection for Crowd Counting
    Qiang Guo (Supervisor: Prof. Yangdong Ye)