Towards Efficient Blockchain-Based Cross-Domain Trust Reputation Management for LS-HetNet. - Shiyang Wang; Xinran Zheng; Shuo Yang 011; Xingjun Wang (GLOBECOM, 2023)

Rethink Long-Tailed Recognition with Vision Transforms. - Zhengzhuo Xu; Shuo Yang 011; Xingjun Wang; Chun Yuan (ICASSP, 2023)

A Lightweight Approach for Network Intrusion Detection Based on Self-Knowledge Distillation. - Shuo Yang 011; Xinran Zheng; Zhengzhuo Xu; Xingjun Wang (ICC, 2023)

SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-Grained Intrusion Detection. - Xinran Zheng; Shuo Yang 011; Xingjun Wang (ICC, 2023)

A Reliable and Decentralized Trust Management Model for Fog Computing in Industrial IoT. - Xinran Zheng; Shuo Yang 011; Xingjun Wang (NOMS, 2023)

IBA: A secure and efficient device-to-device interaction-based authentication scheme for Internet of Things. - Shuo Yang 011; Xinran Zheng; Guining Liu; Xingjun Wang (Comput. Commun., 2023)

Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification. - Shuo Yang 011; Xinran Zheng; Jinze Li 001; Jinfeng Xu 003; Edith C. H. Ngai (CIKM, 2024)

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Jinze Li 001; Shuo Yang 011; Hewei Wang 001; Edith C. H. Ngai (CIKM, 2024)

ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection. - Shuo Yang 011; Xinran Zheng; Jinze Li 001; Jinfeng Xu 003; Xingjun Wang; Edith C. H. Ngai (KDD, 2024)

An Efficient (t, n) Threshold Authentication Scheme for Vehicular Ad Hoc Networks. - Wenhui Kong; Pengfei Wen; Xinran Zheng; Shuo Yang 011; Ning Hu; Xingjun Wang (WCNC, 2024)

STCA: Stacked Token-based Continuous Authentication Protocol for Zero Trust IoT. - Biao Zhang; Shuo Yang 011; Xinran Zheng; Xingjun Wang (WCNC, 2024)

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering. - Jinfeng Xu 003; Zheyu Chen 003; Jinze Li 001; Shuo Yang 011; Wei Wang 077; Xiping Hu; Edith C. H. Ngai (CoRR, 2024)

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges. - Handi Chen; Weipeng Deng; Shuo Yang 011; Jinfeng Xu 003; Zhihan Jiang; Edith C. H. Ngai; Jiangchuan Liu; Xue Liu (CoRR, 2024)

An Efficient and Adaptive Content Delivery System Based on Hybrid Network. - Linjie Nie; Shuo Yang 011; Xinran Zheng; Xingjun Wang (ACM Trans. Knowl. Discov. Data, 2024)

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Hewei Wang 001; Edith C. H. Ngai (AAAI, 2025)

LAMD: Context-Driven Android Malware Detection and Classification with LLMs. - Xingzhi Qian; Xinran Zheng; Yiling He; Shuo Yang 011; Lorenzo Cavallaro (SP (Workshops), 2025)

Learning Temporal Invariance in Android Malware Detectors. - Xinran Zheng; Shuo Yang 011; Edith C. H. Ngai; Suman Jana; Lorenzo Cavallaro (CoRR, 2025)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Wei Wang 077; Xiping Hu; Steven Hoi; Edith C. H. Ngai (CoRR, 2025)

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets. - Jinfeng Xu 003; Zheyu Chen 003; Jinze Li 001; Shuo Yang 011; Hewei Wang 001; Yijie Li 003; Mengran Li; Puzhen Wu; Edith C. H. Ngai (CoRR, 2025)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking. - Shuo Yang 011; Yuqin Dai; Guoqing Wang; Xinran Zheng; Jinfeng Xu 003; Jinze Li 001; Zhenzhe Ying; Weiqiang Wang; Edith C. H. Ngai (CoRR, 2025)

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions. - Shuo Yang 011; Xinran Zheng; Jinfeng Xu 003; Jinze Li 001; Danyang Song; Zheyu Chen 003; Edith C. H. Ngai (CoRR, 2025)

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions. - Shuo Yang 011; Xinran Zheng; Xinchen Zhang; Jinfeng Xu 003; Jinze Li 001; Donglin Xie; Weicai Long; Edith C. H. Ngai (CoRR, 2025)

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Hewei Wang 001; Wei Wang 077; Xiping Hu; Edith C. H. Ngai (CoRR, 2025)

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking. - Shuo Yang 011; Zijian Yu; Zhenzhe Ying; Yuqin Dai; Guoqing Wang; Jun Lan; Jinfeng Xu 003; Jinze Li 001; Edith C. H. Ngai (CoRR, 2025)

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Edith C. H. Ngai (CoRR, 2025)