I am currently an PhD Student from the University of Hong Kong. My research interests include Recommendation System, Data Privacy, Graph Learning, Self-supervised Learning, Computer Vision, and Federated Learning.
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 or WeChat.
📄 You can download my CV here.
🔥 News
- 2025.10: 🎉 I serve as a reviewer for ICLR 2026.
- 2025.10: 🌐 My new personal academic homepage is now online.
- 2023.09-2025.10: 🎈 I have published more than 10 papers in top-tier conferences and journals as the first author, including 1 KDD, 2 SIGIR, 1 ACM MM, 1 RecSys (Spotlight Oral), 3 CIKM, 1 AAAI, 1 ICASSP, 1 TKDE, 1 TOIS, 1 TMM, and 1 Information Fusion.
- 2023.09-2025.10:🎈 I have also contributed as a co-author to many outstanding works, including NDSS, TDSC, KDD, IROS (Oral), etc.
- 2023.09-2025.10:📚️ I have served as a reviewer for over 10 top-tier conferences (e.g., ICLR, NeurIPS, KDD, SIGIR, etc.) and 5 top-tier journals (e.g., TKDE, TOIS, TII, TIT, etc.). Additionally, I was honored as an Outstanding Reviewer and invited as a Session Chair at KDD 2025.
📝 Selected Publications (Full List)
# indicates the authors with equal contributions, and * indicates the corresponding authors.
TMM 2025
- A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
- Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, and Edith Ngai
- IEEE Transactions on Multimedia (TMM), 2025
TKDE 2025
- Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization
- Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, and Edith Ngai
- IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
CIKM 2025
- Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
- Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, and Edith Ngai
- ACM International Conference on Information and Knowledge Management (CIKM), 2025
CIKM 2025
- Hypercomplex Prompt-aware Multimodal Recommendation
- Zheyu Chen #, Jinfeng Xu #, Hewei Wang, Shuo Yang, Zitong Wan and Haibo Hu
- ACM International Conference on Information and Knowledge Management (CIKM), 2025
ACM MM 2025
- The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
- Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, and Edith Ngai
- ACM International Conference on Multimedia (ACM MM), 2025
RecSys 2025 (Spotlight Oral)
- NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
- Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, and Edith Ngai
- ACM Conference on Recommender Systems (RecSys), 2025
KDD 2025
- MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
- Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, and Edith Ngai
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
SIGIR 2025
- COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
- Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, and Edith Ngai
- ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2025
SIGIR 2025
- Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
- Zheyu Chen, Jinfeng Xu *, Yutong Wei, and Ziyue Peng
- ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2025
AAAI 2025
- MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
- Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, and Edith Ngai
- The Association for the Advancement of Artificial Intelligence (AAAI), 2025
CIKM 2024
- AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
- Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, and Edith Ngai
- ACM International Conference on Information and Knowledge Management (CIKM), 2024
🎖 Honors and Awards
- KDD’25 Outstanding Reviewer (Top 10%)
📖 Educations
2023.09 - 2026.07 (Expected)
PhD, University of Hong Kong
PhD, University of Hong Kong
🙌 Other
