Jinfeng Xu (徐锦峰)

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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. 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]

  2. 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]

  3. 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]

  8. Year 2023

  9. 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]

  10. 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

  • 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)

  • IEEE Transactions on Industrial Informatics (TII)

Award

  • KDD'25 Outstanding Reviewer (Top 10%)