About
I am a Ph.D. candidate majoring in Software Engineering at School of Computer Science and Artificial Intelligence, Zhengzhou University. My research interests include data mining and machine learning, with a particular focus on recommender systems, graph representation learning, and information bottleneck. I have published and co-authored some research papers in several top journals and conferences.
I look forward to collaborating in the field of Recommendation and Graph Learning.
I am also seeking self-motivated collaborators.
Feel free to contact me via Email.
🔥 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)
- 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)
🎖 Honors & Awards
📖 Educations
- 2021.09 - 2025.06: Zhengzhou University (PhD), Software Engineering
supervised by Prof. Yangdong Ye - 2018.09 - 2021.06: Zhengzhou University (MSc), Computer Science and Technology
supervised by Prof. Yangdong Ye - 2010.09 - 2014.06: Shenzhen University (BSc), Software Engineering