Jinfeng Xu

According to our database, Jinfeng Xu authored at least 51 papers between 2024 and 2026.

Collaborative distances:

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

2026

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation.

Jinze Li, Xiaoyan Yang, Shuo Yang, Jinfeng Xu, Yue Shen, Jian Wang, Jinjie Gu, Edith Cheuk-Han Ngai

CoRR, May, 2026

Beyond the Target: From Imitation to Collaboration in Speculative Decoding.

Jinze Li, Yixing Xu, Guanchen Li, Jinfeng Xu, Shuo Yang, Yang Zhang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

CoRR, May, 2026

Belief-Guided Inference Control for Large Language Model Services via Verifiable Observations.

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Shuo Yang, Edith Cheuk-Han Ngai

CoRR, April, 2026

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation.

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

CoRR, April, 2026

DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification.

Jian Chen, Yuzhu Hu, Xiaoyan Yuan, Yuxuan Hu, Jinfeng Xu, Yipeng Du, Wenhao Yuan, Wei Wang, Edith C. H. Ngai

CoRR, April, 2026

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Jianheng Tang, Yunhuai Liu, Edith C. H. Ngai

CoRR, March, 2026

DeepAFL: Deep Analytic Federated Learning.

Jianheng Tang, Yajiang Huang, Kejia Fan, Feijiang Han, Jiaxu Li, Jinfeng Xu, Run He, Anfeng Liu, Houbing Herbert Song, Huiping Zhuang, Yunhuai Liu

CoRR, March, 2026

DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation.

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

ACM Trans. Inf. Syst., February, 2026

Blind Radio Map Construction via Topology-Guided Manifold Learning.

Zheng Xing, Zewei Liu, Jinfeng Xu, Shuo Yang, Ruikang Zhong, Yipeng Du, Jun Gao, Weibing Zhao, Edith C. H. Ngai

IEEE Internet Things J., 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

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

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

CoLD: Collaborative Label Denoising Framework for Network Intrusion Detection.

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

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning.

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing.

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Xuehe Wang, Edith Cheuk-Han Ngai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory.

Jinze Li, Yang Zhang, Xin Yang, Jiayi Qu, Jinfeng Xu, Shuo Yang, Junhua Ding, Edith Cheuk-Han Ngai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match.

Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

CoRR, 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

FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions.

Jianheng Tang, Zhirui Yang, Jingchao Wang, Kejia Fan, Jinfeng Xu, Huiping Zhuang, Anfeng Liu, Houbing Herbert Song, Leye Wang, Yunhuai Liu

CoRR, August, 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

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

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

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the 33rd ACM International Conference on Multimedia, 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

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, Jiayi Zhang, Puzhen Wu, Shubham Garg, Wei Pu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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