| Blockchain for secure and efficient data sharing in vehicular edge computing and networks J Kang, R Yu, X Huang, M Wu, S Maharjan, S Xie, Y Zhang IEEE internet of things journal 6 (3), 4660-4670, 2018 | 954 | 2018 |
| Incentivizing differentially private federated learning: A multidimensional contract approach M Wu, D Ye, J Ding, Y Guo, R Yu, M Pan IEEE Internet of Things Journal 8 (13), 10639-10651, 2021 | 150 | 2021 |
| Scalable fog computing with service offloading in bus networks D Ye, M Wu, S Tang, R Yu 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing …, 2016 | 102 | 2016 |
| Adaptive privacy preserving deep learning algorithms for medical data X Zhang, J Ding, M Wu, STC Wong, H Van Nguyen, M Pan Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 57 | 2021 |
| Split learning with differential privacy for integrated terrestrial and non-terrestrial networks M Wu, G Cheng, P Li, R Yu, Y Wu, M Pan, R Lu IEEE Wireless Communications 31 (3), 177-184, 2023 | 53 | 2023 |
| To talk or to work: Dynamic batch sizes assisted time efficient federated learning over future mobile edge devices D Shi, L Li, M Wu, M Shu, R Yu, M Pan, Z Han IEEE Transactions on Wireless Communications 21 (12), 11038-11050, 2022 | 46 | 2022 |
| Evaluation of inference attack models for deep learning on medical data M Wu, X Zhang, J Ding, H Nguyen, R Yu, M Pan, ST Wong arXiv preprint arXiv:2011.00177, 2020 | 41 | 2020 |
| Federated split learning with data and label privacy preservation in vehicular networks M Wu, G Cheng, D Ye, J Kang, R Yu, Y Wu, M Pan IEEE Transactions on Vehicular Technology 73 (1), 1223-1238, 2023 | 28 | 2023 |
| A cloud-edge collaborative architecture for multimodal llms-based advanced driver assistance systems in iot networks Y Hu, D Ye, J Kang, M Wu, R Yu IEEE Internet of Things Journal, 2024 | 24 | 2024 |
| Joint optimization of model partition and resource allocation for split federated learning over vehicular edge networks M Wu, R Yang, X Huang, Y Wu, J Kang, S Xie IEEE Transactions on Vehicular Technology 73 (10), 15860-15865, 2024 | 19 | 2024 |
| D-tracking: digital twin enabled trajectory tracking system of autonomous vehicles Y Hu, M Wu, J Kang, R Yu IEEE Transactions on Vehicular Technology 73 (11), 16457-16469, 2024 | 18 | 2024 |
| A hierarchical pseudonyms management approach for software-defined vehicular networks X Huang, J Kang, R Yu, M Wu, Y Zhang, S Gjessing 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, 2016 | 15 | 2016 |
| Large language model based system with causal inference and Chain-of-Thoughts reasoning for traffic scene risk assessment W Zhong, J Huang, M Wu, W Luo, R Yu Knowledge-Based Systems, 113630, 2025 | 12 | 2025 |
| Llm-based misbehavior detection architecture for enhanced traffic safety in connected autonomous vehicles Y Hu, F Wang, D Ye, M Wu, J Kang, R Yu IEEE Transactions on Vehicular Technology, 2025 | 12 | 2025 |
| Collaborative vehicle sensing in bus networks: A Stackelberg game approach M Wu, D Ye, S Tang, R Yu 2016 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2016 | 12 | 2016 |
| Vesenchain: Leveraging consortium blockchain for secure and efficient vehicular crowdsensing J Zhang, X Huang, W Ni, M Wu, R Yu 2019 Chinese Control Conference (CCC), 6339-6344, 2019 | 10 | 2019 |
| Collaborative data collection with hybrid vehicular crowd sensing in smart cities M Wu, D Ye, J Kang, R Yu 2017 9th International Conference on Wireless Communications and Signal …, 2017 | 8 | 2017 |
| Optimized workload allocation in vehicular edge computing: A sequential game approach D Ye, M Wu, J Kang, R Yu International Conference on Communicatins and Networking in China, 542-551, 2017 | 8 | 2017 |
| Optimal and cooperative energy replenishment in mobile rechargeable networks M Wu, D Ye, J Kang, H Zhang, R Yu 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-5, 2016 | 8 | 2016 |
| To talk or to work: Delay efficient federated learning over mobile edge devices P Prakash, J Ding, M Wu, M Shu, R Yu, M Pan 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 7 | 2021 |