Shuo Yang

According to our database, Shuo Yang authored at least 25 papers between 2023 and 2025.

Collaborative distances:

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

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

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

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

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

CoRR, May, 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

Learning Temporal Invariance in Android Malware Detectors.

Xinran Zheng, Shuo Yang, Edith C. H. Ngai, Suman Jana, Lorenzo Cavallaro

CoRR, February, 2025

LAMD: Context-Driven Android Malware Detection and Classification with LLMs.

Xingzhi Qian, Xinran Zheng, Yiling He, Shuo Yang, Lorenzo Cavallaro

Proceedings of the 2025 IEEE Security and Privacy, 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

An Efficient and Adaptive Content Delivery System Based on Hybrid Network.

Linjie Nie, Shuo Yang, Xinran Zheng, Xingjun Wang

ACM Trans. Knowl. Discov. Data, February, 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

STCA: Stacked Token-based Continuous Authentication Protocol for Zero Trust IoT.

Biao Zhang, Shuo Yang, Xinran Zheng, Xingjun Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

An Efficient (t, n) Threshold Authentication Scheme for Vehicular Ad Hoc Networks.

Wenhui Kong, Pengfei Wen, Xinran Zheng, Shuo Yang, Ning Hu, Xingjun Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 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

2023

IBA: A secure and efficient device-to-device interaction-based authentication scheme for Internet of Things.

Shuo Yang, Xinran Zheng, Guining Liu, Xingjun Wang

Comput. Commun., February, 2023

A Reliable and Decentralized Trust Management Model for Fog Computing in Industrial IoT.

Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the NOMS 2023, 2023

SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-Grained Intrusion Detection.

Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the IEEE International Conference on Communications, 2023

A Lightweight Approach for Network Intrusion Detection Based on Self-Knowledge Distillation.

Shuo Yang, Xinran Zheng, Zhengzhuo Xu, Xingjun Wang

Proceedings of the IEEE International Conference on Communications, 2023

Rethink Long-Tailed Recognition with Vision Transforms.

Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Efficient Blockchain-Based Cross-Domain Trust Reputation Management for LS-HetNet.

Shiyang Wang, Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the IEEE Global Communications Conference, 2023