Zhe Wang

Orcid: 0000-0002-6372-1169

Affiliations:
  • King's College London, London, UK


According to our database1, Zhe Wang authored at least 17 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Goal-Oriented Semantic Communications for Avatar-Centric Augmented Reality.
IEEE Trans. Commun., December, 2024

Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit.
IEEE Trans. Intell. Transp. Syst., August, 2024

An Edge-Enabled Wireless Split Learning Testbed: Design and Implementation.
IEEE Commun. Lett., June, 2024

A credibility-aware swarm-federated deep learning framework in internet of vehicles.
Digit. Commun. Networks, 2024

Goal-oriented Semantic Communications for Metaverse Construction via Generative AI and Optimal Transport.
CoRR, 2024

Goal-oriented Semantic Communication for the Metaverse Application.
CoRR, 2024

2023
Hierarchical Trajectory Planning for Narrow-Space Automated Parking with Deep Reinforcement Learning: A Federated Learning Scheme.
Sensors, 2023

Task-oriented and Semantics-aware Communication Framework for Augmented Reality.
CoRR, 2023

Blockchained Federated Learning for Internet of Things: A Comprehensive Survey.
CoRR, 2023

Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review.
CoRR, 2023

DLPriv: Deep Learning Based Dynamic Location Privacy Mechanism for LBS in Internet-of-Vehicles.
Proceedings of the International Conference on Networking and Network Applications, 2023

Social Networks Based Robust Federated Learning for Encrypted Traffic Classification.
Proceedings of the IEEE International Conference on Communications, 2023

Task-oriented and Semantics-aware Communications for Augmented Reality.
Proceedings of the IEEE Global Communications Conference, 2023

2022
A Multi-Intersection Vehicular Cooperative Control Based on End-Edge-Cloud Computing.
IEEE Trans. Veh. Technol., 2022

Differential Preserving in XGBoost Model for Encrypted Traffic Classification.
Proceedings of the International Conference on Networking and Network Applications, 2022

Layered classification method for darknet traffic based on Weighted K-NN.
Proceedings of the International Conference on Networking and Network Applications, 2022

2021
DP-YOLOv5: Computer Vision-Based Risk Behavior Detection in Power Grids.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021


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