Shuo Yang

Orcid: 0000-0003-1638-9623

Affiliations:
  • Tsinghua University, Tsinghua Shenzhen International Graduate School, China


According to our database1, Shuo Yang authored at least 15 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Efficient and Adaptive Content Delivery System Based on Hybrid Network.
ACM Trans. Knowl. Discov. Data, February, 2024

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges.
CoRR, 2024

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering.
CoRR, 2024

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.
CoRR, 2024

STCA: Stacked Token-based Continuous Authentication Protocol for Zero Trust IoT.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

An Efficient (t, n) Threshold Authentication Scheme for Vehicular Ad Hoc Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection.
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.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification.
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.
Comput. Commun., February, 2023

A Reliable and Decentralized Trust Management Model for Fog Computing in Industrial IoT.
Proceedings of the NOMS 2023, 2023

SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-Grained Intrusion Detection.
Proceedings of the IEEE International Conference on Communications, 2023

A Lightweight Approach for Network Intrusion Detection Based on Self-Knowledge Distillation.
Proceedings of the IEEE International Conference on Communications, 2023

Rethink Long-Tailed Recognition with Vision Transforms.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Efficient Blockchain-Based Cross-Domain Trust Reputation Management for LS-HetNet.
Proceedings of the IEEE Global Communications Conference, 2023


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