| Energy-efficient UAV-assisted mobile edge computing: Resource allocation and trajectory optimization M Li, N Cheng, J Gao, Y Wang, L Zhao, X Shen IEEE Transactions on Vehicular Technology 69 (3), 3424-3438, 2020 | 384 | 2020 |
| AI-assisted network-slicing based next-generation wireless networks X Shen, J Gao, W Wu, K Lyu, M Li, W Zhuang, X Li, J Rao IEEE Open Journal of Vehicular Technology 1, 45-66, 2020 | 289 | 2020 |
| Holistic network virtualization and pervasive network intelligence for 6G X Shen, J Gao, W Wu, M Li, C Zhou, W Zhuang IEEE Communications Surveys & Tutorials 24 (1), 1-30, 2021 | 222 | 2021 |
| Deep reinforcement learning for collaborative edge computing in vehicular networks M Li, J Gao, L Zhao, X Shen IEEE Transactions on Cognitive Communications and Networking 6 (4), 1122-1135, 2020 | 198 | 2020 |
| AI-native network slicing for 6G networks W Wu, C Zhou, M Li, H Wu, H Zhou, N Zhang, XS Shen, W Zhuang IEEE Wireless Communications 29 (1), 96-103, 2022 | 167 | 2022 |
| Dynamic RAN slicing for service-oriented vehicular networks via constrained learning W Wu, N Chen, C Zhou, M Li, X Shen, W Zhuang, X Li IEEE Journal on Selected Areas in Communications 39 (7), 2076-2089, 2020 | 137 | 2020 |
| Split learning over wireless networks: Parallel design and resource management W Wu, M Li, K Qu, C Zhou, X Shen, W Zhuang, X Li, W Shi IEEE Journal on Selected Areas in Communications 41 (4), 1051-1066, 2023 | 88 | 2023 |
| An SMDP-based prioritized channel allocation scheme in cognitive enabled vehicular ad hoc networks M Li, L Zhao, H Liang IEEE Transactions on Vehicular Technology 66 (9), 7925-7933, 2017 | 58 | 2017 |
| Adaptive computing scheduling for edge-assisted autonomous driving M Li, J Gao, L Zhao, X Shen IEEE Transactions on Vehicular Technology 70 (6), 5318-5331, 2021 | 55 | 2021 |
| Contention intensity based distributed coordination for V2V safety message broadcast J Gao, M Li, L Zhao, X Shen IEEE Transactions on Vehicular Technology 67 (12), 12288-12301, 2018 | 52 | 2018 |
| Reinforcement learning enabled dynamic resource allocation in the internet of vehicles H Liang, X Zhang, X Hong, Z Zhang, M Li, G Hu, F Hou IEEE Transactions on Industrial Informatics 17 (7), 4957-4967, 2020 | 39 | 2020 |
| MAC for machine-type communications in industrial IoT—Part I: Protocol design and analysis J Gao, W Zhuang, M Li, X Shen, X Li IEEE Internet of Things Journal 8 (12), 9945-9957, 2021 | 32 | 2021 |
| Water-filling exact solutions for load balancing of smart power grid systems P He, M Li, L Zhao, B Venkatesh, H Li IEEE Transactions on Smart Grid 9 (2), 1397-1407, 2016 | 31 | 2016 |
| Autonomous PEV charging scheduling using Dyna-Q reinforcement learning F Wang, J Gao, M Li, L Zhao IEEE Transactions on Vehicular Technology 69 (11), 12609-12620, 2020 | 30 | 2020 |
| Dynamic load balancing applying water-filling approach in smart grid systems M Li, P He, L Zhao IEEE Internet of Things Journal 4 (1), 247-257, 2017 | 29 | 2017 |
| Towards Immersive Communications in 6G XS Shen, J Gao, M Li, C Zhou, S Hu, M He, W Zhuang Frontiers in Computer Science 4, 1-31, 2023 | 23 | 2023 |
| Slicing-based artificial intelligence service provisioning on the network edge: Balancing AI service performance and resource consumption of data management M Li, J Gao, C Zhou, XS Shen, W Zhuang IEEE Vehicular Technology Magazine 16 (4), 16-26, 2021 | 22 | 2021 |
| MAC for machine-type communications in industrial IoT—Part II: Scheduling and numerical results J Gao, M Li, W Zhuang, X Shen, X Li IEEE Internet of Things Journal 8 (12), 9958-9969, 2020 | 22 | 2020 |
| Energy management framework for mobile vehicular electric storage N Chen, J Ma, M Li, M Wang, X Shen IEEE Network 33 (6), 148-155, 2019 | 16 | 2019 |
| Digital twin-empowered network planning for multi-tier computing C Zhou, J Gao, M Li, XS Shen, W Zhuang Journal of Communications and Information Networks 7 (3), 221-238, 2022 | 15 | 2022 |
Xuemin (Sherman) ShenUniversity Professor, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
