| 2025 | GLOBECOM | MAPFed: A Personalized Federated Learning Method with Multi-factor Asynchronous Grouping for Foundation Models. | Yuhang Yang, Fei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Dajun Zhang |
| 2025 | NPC | Cultivator: Multi-granularity Tree Construction in Heterogeneous Edge-Cloud Training. | Meilin Ding, Yunfeng Zhao, Chao Qiu, Fei Gao, Xiaofei Wang, Dajun Zhang |
| 2024 | SDM | Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. | Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia |
| 2022 | GPC | A Blockchain-Based Distributed Machine Learning (BDML) Approach for Resource Allocation in Vehicular Ad-Hoc Networks. | Dajun Zhang, Wei Shi, Ruizhe Yang |
| 2022 | IWCMC | A Blockchain-Based Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles. | Dajun Zhang, Wei Shi, Marc St-Hilaire, Ruizhe Yang |
| 2018 | GLOBECOM | A Machine Learning Approach for Software-Defined Vehicular Ad Hoc Networks with Trust Management. | Dajun Zhang, F. Richard Yu, Ruizhe Yang |
| 2018 | MSWIM | A Deep Reinforcement Learning-based Trust Management Scheme for Software-defined Vehicular Networks. | Dajun Zhang, F. Richard Yu, Ruizhe Yang, Helen Tang |
| 2016 | MSWIM | Software-defined Vehicular Ad Hoc Networks with Trust Management. | Dajun Zhang, Fei Richard Yu, Zhexiong Wei, Azzedine Boukerche |