Software-defined Vehicular Ad Hoc Networks with Trust Management. - Dajun Zhang 001; Fei Richard Yu; Zhexiong Wei; Azzedine Boukerche (DIVANet, 2016)

Trust-based Secure Routing in Software-defined Vehicular Ad Hoc Networks. - Dajun Zhang 001; 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 001; F. Richard Yu; Ruizhe Yang (GLOBECOM, 2018)

A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular Networks. - Dajun Zhang 001; F. Richard Yu; Ruizhe Yang; Helen Tang (DIVANet, 2018)

Blockchain-Based Distributed Software-Defined Vehicular Networks: A Dueling Deep Q-Learning Approach. - Dajun Zhang 001; F. Richard Yu; Ruizhe Yang (IEEE Trans. Cogn. Commun. Netw., 2019)

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

A Blockchain-Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles. - Dajun Zhang 001; 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 001; 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 001; 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 001; 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 001; F. Richard Yu (Future Gener. Comput. Syst., 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 001 (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 001; Xiaowei Jia (SDM, 2024)

Blockchain-Based Intelligence Networking for Cooperative Positioning Towards Future Internet of Vehicles. - Dajun Zhang 001; 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 001; 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 057; Pengbo Si; Yibo Zhang 005; Jingjing Wang 001; Dajun Zhang 001; F. Richard Yu (IEEE Trans. Green Commun. Netw., 2024)

MAPFed: A Personalized Federated Learning Method with Multi-factor Asynchronous Grouping for Foundation Models. - Yuhang Yang; Fei Gao; Yunfeng Zhao; Chao Qiu; Xiaofei Wang 001; Dajun Zhang 001 (GLOBECOM, 2025)

Cultivator: Multi-granularity Tree Construction in Heterogeneous Edge-Cloud Training. - Meilin Ding; Yunfeng Zhao; Chao Qiu; Fei Gao; Xiaofei Wang 001; Dajun Zhang 001 (NPC (1), 2025)

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

Exploring Scientific Principles and Laws of Artificial Intelligence, World Model, and Artificial General Intelligence (AGI) in Future Intelligence Networking: Paradigms, Architectures, and Innovations. - Dajun Zhang 001; Wei Shi; Xiaowei Jia (IEEE Commun. Surv. Tutorials, 2026)

Efficiency Optimization for Blockchain-Enabled V2V Energy Trading With Dynamic Clustering Based on Deep Reinforcement Learning. - Jiahui Wu; Ruizhe Yang; Meng Li 007; Enchang Sun; F. Richard Yu; Dajun Zhang 001; Pengbo Si (IEEE Trans. Veh. Technol., 2026)

Hybrid Resource Allocation Strategies for Efficient Task Offloading in Vehicular Edge Computing. - Xiaoxuan Wang; Xiangyu Li; Yang Li 118; Tao Jing; Hongwei Wang 008; Yan Huo 001; Qinghe Gao; Dajun Zhang 001 (IEEE Trans. Veh. Technol., 2026)