About Me

I am currently a faculty member in the School of Computer Science and Artificial Intelligence at Zhengzhou University. I received my Ph.D. degree in Software Engineering from Zhengzhou University in June 2025, under the supervision of Prof. Yangdong Ye.

My research interests lie broadly in data mining and machine learning, with a particular focus on recommender systems, multimodal learning, information bottleneck, and graph representation learning. My research aims to develop effective, robust, and interpretable learning methods for recommendation and graph-based data analysis. I have published and co-authored several papers in peer-reviewed journals and conferences in related areas.

I am expected to recruit master’s students in the next admission cycle. Prospective students who are interested in recommender systems, multimodal learning, graph learning, information bottleneck, and related topics are warmly encouraged to contact me.

I also welcome academic discussions and potential collaborations with researchers working in related fields.

Official homepage is here. Feel free to contact me via Email or WeChat.


🔥 News

  • 2025.12: 🎉 One paper on knowledge-aware recommendation has been accepted by Expert Systems with Applications (ESWA).
  • 2025.07: 🎉 One collaborative paper has been accepted by ACM MM 2025. Congratulations to Haichuan Fang!
  • 2025.05: 🎉 One collaborative paper has been accepted by Knowledge-Based Systems (KBS). Congratulations to Yiqiang Mao!
  • 2025.03: 🎉 One paper on knowledge-aware recommendation has been accepted by Information Processing & Management (IPM).
  • 2024.12: 🎉 One collaborative paper (co-corresponding author) has been accepted by IEEE Transactions on Industrial Informatics (TII). Congratulations to Yiqiang Mao!



📝 Selected Publications (Full List)

# indicates the authors with equal contributions, and * indicates the corresponding authors.

Knowledge-refined information bottleneck for contrastive recommendation
Qiang Guo, Bin Wu, Zhongchuan Sun, Haichuan Fang, Yangdong Ye*
Expert Systems with Applications, 2025. (中科院 1 区 SCI, IF: 7.5)
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)
Multimodal nonredundant clustering via sufficiency complementary mining
Yiqiao Mao, Xiaoqiang Yan, Qiang Guo*, Yangdong Ye*
IEEE Transactions on Industrial Informatics, 2025. (中科院1区 SCI, IF: 11.7)
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)

💰 Funding

  • To be updated.

📖 Education

2021.09 - 2025.06:
Zhengzhou University, Ph.D. in Software Engineering
Supervised by Prof. Yangdong Ye
2018.09 - 2021.06:
Zhengzhou University, M.Sc. in Computer Science and Technology
Supervised by Prof. Yangdong Ye
2010.09 - 2014.06:
Shenzhen University, B.Sc. in Software Engineering

🔗 Useful Links