Jinfeng Xu (徐锦峰)

PhD Student, Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China Personal E-mail: jinfeng.xu0605@gmail.com Work E-mail: jinfeng@connect.hku.hk

About me

I am currently an PhD Student of the Department of Electrical and Electronic Engineering in the University of Hong Kong.

My research interests include Recommendation System, Data Privacy, Graph Learning, Self-supervised Learning, and Federated Learning.

I look forward to collaborating in the field of recommendation, which can be traditional recommendation, multi-modal recommendation, social recommendation, group recommendation, etc.

I am also seeking self-motivated collaborators.

Please drop me an email if you are interested.

Recent Research

Recent publications

(Note: # indicates the authors with equal contributions, and * indicates the corresponding authors.)

Year 2025

1. Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith CH Ngai, Jiangchuan Liu, and Xue Liu

   Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

   IEEE Network. [link]

2. Zheyu Chen#, Jinfeng Xu#, and Haibo Hu

   Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Networks

   IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [link]

3. Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, and Edith C. H. Ngai

   MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation

   The Association for the Advancement of Artificial Intelligence (AAAI). [link]

Year 2024

4. Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, and Edith Ngai

   AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

   ACM International Conference on Information and Knowledge Management (CIKM). [link]

5. Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, and Edith Ngai

   Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification

   ACM International Conference on Information and Knowledge Management (CIKM). [link]

6. Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xingjun Wang, and Edith C. H. Ngai

   ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection

   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). [link]

7. Jinfeng Xu, Zheyu Chen, Zixiao Ma, Jiyi Liu, and Edith C. H. Ngai

   Improving Consumer Experience with Pre-purify Temporal-decay Memory-based Collaborative Filtering Recommendation for Graduate School Application

   IEEE Transactions on Consumer Electronics (TCE). [link]

Year 2023

8. Jinfeng Xu, Jiyi Liu, Zixiao Ma, Yuyang Wang, Wei Wang, and Edith Ngai

   KNN-based Collaborative Filtering for Fine-Grained Intelligent Grad-School Recommendation System

   EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) . (Best Paper Award) [link]

9. Lina Wang, Yan Mao, Jinfeng Xu, Jianan Wu, Kunxiu Wu, Keji Mao, and Kai Fang

   A ROI Extraction Method for Wrist Imaging Applied in Smart Bone-Age Assessment System

   IEEE Journal of Biomedical and Health Informatics (JBHI). [pdf]

Academic service

Program committee

• ACM The Web Conference (WWW) - short paper track

Reviewer (Conference)

• International Conference on Learning Representations (ICLR)

• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

• ACM The Web Conference (WWW)

• Association for the Advancement of Artificial Intelligence (AAAI)

• ACM International Conference on Multimedia (MM)

• IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• IEEE International Conference on Distributed Computing Systems (ICDCS)

Reviewer (Journal)

• IEEE Transactions on Industrial Informatics (TII)

• IEEE Transactions on Multimedia (TMM)

Award

• KDD'25 Outstanding Reviewer (Top 10%)