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. Zheyu Chen, Jinfeng Xu*, Yutong Wei, and Ziyue Peng

   Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering

   ACM International Conference on Research and Development in Information Retrieval (SIGIR). [link]

2. Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, and Edith Ngai

   COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation

   ACM International Conference on Research and Development in Information Retrieval (SIGIR). [link]

3. Yijie Li, Hewei Wang, Jinfeng Xu, Lee Yee Hui, and Soumyabrata Dev

   BSANet: A Bilateral Segregation and Aggregation Network for Real-time Cloud Segmentation

   Remote Sensing Applications: Society and Environment. [link]

4. Yijie Li, Hewei Wang, Jiayi Zhang, Jinjiang You, Jinfeng Xu, Puzhen Wu, Yunzhong Xiao, and Soumyabrata Dev

   Segregation and Context Aggregation Network for Real-time Cloud Segmentation

   The International Conference on Learning Representations Workshops (ICLRW). [link]

5. Yijie Li, Hewei Wang, Jinfeng Xu, Zixiao Ma, Puzhen Wu, Shaofan Wang, and Soumyabrata Dev

   CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation

   IEEE International Geoscience and Remote Sensing Symposium (IGARSS). [link]

6. Yijie Li, Hewei Wang, Jinfeng Xu, Puzhen Wu, Yunzhong Xiao, Shaofan Wang, and Soumyabrata Dev

   DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation

   IEEE International Geoscience and Remote Sensing Symposium (IGARSS). [link]

7. 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]

8. 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]

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

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

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

Year 2024

10. 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]

11. 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]

12. 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]

13. 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

14. 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]

15. 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 International Conference on Research and Development in Information Retrieval (SIGIR)

• ACM The Web Conference (WWW)

• Association for the Advancement of Artificial Intelligence (AAAI)

• ACM International Conference on Multimedia (MM)

• IEEE International Conference on Distributed Computing Systems (ICDCS)

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

• International Joint Conference on Neural Networks (IJCNN)

Reviewer (Journal)

• IEEE Transactions on Knowledge and Data Engineering (TKDE)

• IEEE Transactions on Industrial Informatics (TII)

• IEEE Transactions on Multimedia (TMM)

Award

• KDD'25 Outstanding Reviewer (Top 10%)