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, Computer Vision, 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

Jinjiang You, Hewei Wang, Yijie Li, Mingxiao Huo, Long Van Tran Ha, Mingyuan Ma, Jinfeng Xu, Puzhen Wu, Shubham Garg, and Wei Pu
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration
International Conference on Intelligent Robots and Systems (IROS).
Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, and Edith Ngai
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
Hewei Wang, Jinjiang You, Yijie Li, Mingxiao Huo, Long Vân Tran Ha, Mingyuan Ma, Jinfeng Xu, Puzhen Wu, Shubham Garg
Dynamic Feature-Driven SfM for Camera Array Calibration in 4D Capture
The IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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).
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).
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.
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).
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).
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).
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.
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).
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).

Year 2024

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).
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).
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).
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).

Year 2023

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).

Academic service

Program committee

ACM The Web Conference (WWW) - short paper track

Reviewer (Conference)

International Conference on Learning Representations (ICLR)
The Annual Conference on Neural Information Processing Systems (NeurIPS)
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%)