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 students (undergraduate, master).

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 2024

1. 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]

2. 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]

3. 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]

4. 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

5. 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]

6. 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]

Year 2022

7. Yuyang Wang, Tianli Ren, Zhuoyi Zhang, Zheyu Chen, Jinfeng Xu, Zixiao Ma, Pai Zhu, and Mingjia Zhang

   A Review of Gray-scale Image Recoloring Methods With Neural Network Based Model

   International Conference on Image, Vision and Computing (ICIVC). [pdf]

Academic service

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)