Jinfeng Xu

According to our database, Jinfeng Xu authored at least 33 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LOBSTER: Bilateral global semantic enhancement for multimedia recommendation.

Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Jiyi Liu, Edith C. H. Ngai

Inf. Fusion, 2026

2025

Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, Edith C. H. Ngai

IEEE Trans. Knowl. Data Eng., November, 2025

Toward Edge General Intelligence via Large Language Models: Opportunities and Challenges.

Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C. H. Ngai, Jiangchuan Liu, Xue Liu

IEEE Netw., September, 2025

Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative Decoding.

Mingxiao Huo, Jiayi Zhang, Hewei Wang, Jinfeng Xu, Zheyu Chen, Huilin Tai, Yijun Chen

CoRR, September, 2025

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Edith C. H. Ngai

CoRR, July, 2025

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking.

Shuo Yang, Zijian Yu, Zhenzhe Ying, Yuqin Dai, Guoqing Wang, Jun Lan, Jinfeng Xu, Jinze Li, Edith C. H. Ngai

CoRR, July, 2025

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions.

Shuo Yang, Xinran Zheng, Xinchen Zhang, Jinfeng Xu, Jinze Li, Donglin Xie, Weicai Long, Edith C. H. Ngai

CoRR, July, 2025

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions.

Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Danyang Song, Zheyu Chen, Edith C. H. Ngai

CoRR, June, 2025

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking.

Shuo Yang, Yuqin Dai, Guoqing Wang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zhenzhe Ying, Weiqiang Wang, Edith C. H. Ngai

CoRR, June, 2025

Consistent Video Editing as Flow-Driven Image-to-Video Generation.

Ge Wang, Songlin Fan, Hangxu Liu, Quanjian Song, Hewei Wang, Jinfeng Xu

CoRR, June, 2025

Improving Consumer Experience With Pre-Purify Temporal-Decay Memory-Based Collaborative Filtering Recommendation for Graduate School Application.

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

IEEE Trans. Consumer Electron., May, 2025

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems.

Kai Chen, Taihang Zhen, Hewei Wang, Kailai Liu, Xinfeng Li, Jing Huo, Tianpei Yang, Jinfeng Xu, Wei Dong, Yang Gao

CoRR, May, 2025

Segregation and Context Aggregation Network for Real-time Cloud Segmentation.

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

CoRR, April, 2025

Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration.

Jinjiang You, Hewei Wang, Yijie Li, Mingxiao Huo, Long Van Tran Ha, Mingyuan Ma, Jinfeng Xu, Puzhen Wu, Shubham Garg, Wei Pu

CoRR, March, 2025

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, Edith C. H. Ngai

CoRR, February, 2025

RAINER: A Robust Ensemble Learning Grid Search-Tuned Framework for Rainfall Patterns Prediction.

Zhenqi Li, Junhao Zhong, Hewei Wang, Jinfeng Xu, Yijie Li, Jinjiang You, Jiayi Zhang, Runzhi Wu, Soumyabrata Dev

CoRR, January, 2025

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

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

CoRR, January, 2025

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

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

CoRR, January, 2025

Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xinchen Zhang, Edith C. H. Ngai

IEEE Trans. Dependable Secur. Comput., 2025

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

Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Zheyu Chen, Jinfeng Xu, Haibo Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Hypercomplex Prompt-aware Multimodal Recommendation.

Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

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

IEEE J. Biomed. Health Informatics, August, 2024

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

Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C. H. Ngai, Jiangchuan Liu, Xue Liu

CoRR, 2024

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, 2024

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

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024