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