Dajun Zhang

Orcid: 0000-0003-2711-5396

According to our database1, Dajun Zhang authored at least 20 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
The Permissioned Blockchain-Based Quantum-Inspired Edge Intelligence Approach for the Services of Future Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., May, 2025

2024
Packet Retransmission Schemes and Trials for Broadcast Services in Mobile Scenarios.
IEEE Trans. Broadcast., September, 2024

UAV Altitude, Relay Selection, and User Association Optimization for Cooperative Relay-Transmission in UAV-IRS-Based THz Networks.
IEEE Trans. Green Commun. Netw., June, 2024

Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation.
IEEE Internet Things J., June, 2024

Blockchain-Based Intelligence Networking for Cooperative Positioning Towards Future Internet of Vehicles.
IEEE Trans. Veh. Technol., March, 2024

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023
Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach.
IEEE Trans. Intell. Transp. Syst., December, 2023

Resource allocation strategy for blockchain-enabled NOMA-based MEC networks.
J. Cloud Comput., December, 2023

Blockchain-escorted distributed deep learning with collaborative model aggregation towards 6G networks.
Future Gener. Comput. Syst., April, 2023

2022
Software-Defined Vehicular Networks With Trust Management: A Deep Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022

Blockchain-Based Multi-Access Edge Computing for Future Vehicular Networks: A Deep Compressed Neural Network Approach.
IEEE Trans. Intell. Transp. Syst., 2022

Multiaccess Edge Integrated Networking for Internet of Vehicles: A Blockchain-Based Deep Compressed Cooperative Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022

A Blockchain-Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

A Blockchain-Based Distributed Machine Learning (BDML) Approach for Resource Allocation in Vehicular Ad-Hoc Networks.
Proceedings of the Green, Pervasive, and Cloud Computing - 17th International Conference, 2022

2021
A Preclinical System Prototype for Focused Microwave Breast Hyperthermia Guided by Compressive Thermoacoustic Tomography.
IEEE Trans. Biomed. Eng., 2021

2019
Blockchain-Based Distributed Software-Defined Vehicular Networks: A Dueling Deep Q-Learning Approach.
IEEE Trans. Cogn. Commun. Netw., 2019

2018
A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular Networks.
Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, 2018

A Machine Learning Approach for Software-Defined Vehicular Ad Hoc Networks with Trust Management.
Proceedings of the IEEE Global Communications Conference, 2018

2016
Trust-based Secure Routing in Software-defined Vehicular Ad Hoc Networks.
CoRR, 2016

Software-defined Vehicular Ad Hoc Networks with Trust Management.
Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, 2016


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