Minyao Liu

Orcid: 0009-0005-2547-5234

According to our database1, Minyao Liu authored at least 9 papers between 2023 and 2025.

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

Timeline

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Links

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Bibliography

2025
IoV-BERT-IDS: Hybrid Network Intrusion Detection System in IoV Using Large Language Models.
IEEE Trans. Veh. Technol., February, 2025

Trustworthy Generative Few-Shot Learning-Based Intrusion Detection Method in Internet of Things.
IEEE Trans. Consumer Electron., February, 2025

Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification.
J. Parallel Distributed Comput., 2025

2024
Explainable Deep Learning-Based Feature Selection and Intrusion Detection Method on the Internet of Things.
Sensors, August, 2024

Resource-Constraint Deep Forest-Based Intrusion Detection Method in Internet of Things for Consumer Electronic.
IEEE Trans. Consumer Electron., May, 2024

Unsupervised Real-Time Flow Data Drift Detection Based on Model Logits for Internet of Things Network Traffic Classification.
Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Model Uncertainty Based Unsupervised Real-Time Drift Detection in Network Traffic Classification.
Proceedings of the 2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 2024

2023
A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities.
PeerJ Comput. Sci., 2023

FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing.
CoRR, 2023


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