| 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 | 836 | 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 | 110 | 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 | 97 | 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 | 40 | 2021 |
| 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 | 30 | 2020 |
| 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 | 27 | 2022 |
| 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, 2023 | 21 | 2023 |
| 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 |
| 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 |
| 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, 2023 | 8 | 2023 |
| 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 |
| Hybrid sensor network with edge computing for AI applications of connected vehicles M Wu, X Huang, B Tan, R Yu Journal of Internet Technology 21 (5), 1503-1516, 2020 | 7 | 2020 |
| Optimized workload allocation in vehicular edge computing: A sequential game approach D Ye, M Wu, J Kang, R Yu Communications and Networking: 12th International Conference, ChinaCom 2017 …, 2018 | 7 | 2018 |
| 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 | 6 | 2021 |
| 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 | 6 | 2017 |
| 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, 2024 | 3 | 2024 |
| 面向车路协同推断的差分隐私保护研究 吴茂强， 黄旭民， 康嘉文， 余荣 计算机工程 48 (7), 29-35, 2022 | 3 | 2022 |
| Spears and shields: attacking and defending deep model co-inference in vehicular crowdsensing networks M Wu, D Ye, C Zhang, R Yu EURASIP Journal on Advances in Signal Processing 2021 (1), 114, 2021 | 2 | 2021 |
| Digital Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffics X Wang, M Hao, M Wu, C Shang, R Yu, J Kang, Z Xiong, Y Wu IEEE Internet of Things Journal, 2024 | | 2024 |
Rong YuGuangdong University of Technology在 gdut.edu.cn 的电子邮件经过验证
