Software-defined Vehicular Ad Hoc Networks with Trust Management. - Dajun Zhang; Fei Richard Yu; Zhexiong Wei; Azzedine Boukerche (DIVANet@MSWiM, 2016)

Trust-based Secure Routing in Software-defined Vehicular Ad Hoc Networks. - Dajun Zhang; F. Richard Yu; Zhexiong Wei; Azzedine Boukerche (CoRR, 2016)

A Machine Learning Approach for Software-Defined Vehicular Ad Hoc Networks with Trust Management. - Dajun Zhang; F. Richard Yu; Ruizhe Yang (GLOBECOM, 2018)

A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular Networks. - Dajun Zhang; F. Richard Yu; Ruizhe Yang; Helen Tang (DIVANet@MSWiM, 2018)

Blockchain-Based Distributed Software-Defined Vehicular Networks: A Dueling Deep Q-Learning Approach. - Dajun Zhang; F. Richard Yu; Ruizhe Yang (IEEE Trans. Cogn. Commun. Netw., 2019)

A Preclinical System Prototype for Focused Microwave Breast Hyperthermia Guided by Compressive Thermoacoustic Tomography. - Jianian Li; Baosheng Wang; Dajun Zhang; Chenzhe Li; Yihui Zhu; Yi Zou; Baile Chen; Tao Wu; Xiong Wang 005 (IEEE Trans. Biomed. Eng., 2021)

A Blockchain-Based Distributed Machine Learning (BDML) Approach for Resource Allocation in Vehicular Ad-Hoc Networks. - Dajun Zhang; Wei Shi 001; Ruizhe Yang (GPC, 2022)

A Blockchain-Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles. - Dajun Zhang; Wei Shi 001; Marc St-Hilaire; Ruizhe Yang (IWCMC, 2022)

Multiaccess Edge Integrated Networking for Internet of Vehicles: A Blockchain-Based Deep Compressed Cooperative Learning Approach. - Dajun Zhang; Wei Shi 001; Marc St-Hilaire; Ruizhe Yang (IEEE Trans. Intell. Transp. Syst., 2022)

Blockchain-Based Multi-Access Edge Computing for Future Vehicular Networks: A Deep Compressed Neural Network Approach. - Dajun Zhang; F. Richard Yu; Ruizhe Yang (IEEE Trans. Intell. Transp. Syst., 2022)

Software-Defined Vehicular Networks With Trust Management: A Deep Reinforcement Learning Approach. - Dajun Zhang; F. Richard Yu; Ruizhe Yang; Li Zhu 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Blockchain-escorted distributed deep learning with collaborative model aggregation towards 6G networks. - Zhaowei Ma; Xiaoming Yuan 002; Kai Liang; Jie Feng 004; Li Zhu 002; Dajun Zhang; F. Richard Yu (Future Gener. Comput. Syst., 2023)

Resource allocation strategy for blockchain-enabled NOMA-based MEC networks. - Jianjie Ding; Lina Han; Jie Li; Dajun Zhang (J. Cloud Comput., 2023)

Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach. - Yang Li 118; Li Zhu 002; Hongwei Wang 008; F. Richard Yu; Tao Tang 004; Dajun Zhang (IEEE Trans. Intell. Transp. Syst., 2023)

Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. - Erhu He; Yiqun Xie; Licheng Liu; Zhenong Jin; Dajun Zhang; Xiaowei Jia (SDM, 2024)

Blockchain-Based Intelligence Networking for Cooperative Positioning Towards Future Internet of Vehicles. - Dajun Zhang; Wei Shi 001; Marc St-Hilaire; Ruizhe Yang (IEEE Trans. Veh. Technol., 2024)

Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation. - Ruizhe Yang; Tonghui Zhao; F. Richard Yu; Meng Li 007; Dajun Zhang; Xuehui Zhao (IEEE Internet Things J., 2024)

UAV Altitude, Relay Selection, and User Association Optimization for Cooperative Relay-Transmission in UAV-IRS-Based THz Networks. - Qi Li; Pengbo Si; Yibo Zhang; Jingjing Wang 001; Dajun Zhang; F. Richard Yu (IEEE Trans. Green Commun. Netw., 2024)

Packet Retransmission Schemes and Trials for Broadcast Services in Mobile Scenarios. - Yin Xu 001; Hao Ju; Zigang Fu; Xin Lin 002; Tianyao Ma; Dazhi He; Yang Chen; Dajun Zhang; Ke Wang; Wenjun Zhang 001; Yiyan Wu 001 (IEEE Trans. Broadcast., 2024)

The Permissioned Blockchain-Based Quantum-Inspired Edge Intelligence Approach for the Services of Future Internet of Vehicles. - Dajun Zhang; Wei Shi 001; Marc St-Hilaire (IEEE Trans. Intell. Transp. Syst., 2025)