| A survey on mobile edge computing: The communication perspective Y Mao, C You, J Zhang, K Huang, KB Letaief IEEE Communications Surveys & Tutorials, 2017 | 5432 | 2017 |
| Dynamic computation offloading for mobile-edge computing with energy harvesting devices Y Mao, J Zhang, KB Letaief IEEE Journal on Selected Areas in Communications 34 (12), 3590-3605, 2016 | 1746 | 2016 |
| Delay-Optimal Computation Task Scheduling for Mobile-Edge Computing Systems J Liu, Y Mao, J Zhang, KB Letaief 2016 IEEE International Symposium on Information Theory (ISIT), 1451 - 1455, 2016 | 873 | 2016 |
| Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems Y Mao, J Zhang, SH Song, KB Letaief IEEE transactions on wireless communications 16 (9), 5994-6009, 2017 | 695 | 2017 |
| Power-delay tradeoff in multi-user mobile-edge computing systems Y Mao, J Zhang, SH Song, KB Letaief 2016 IEEE global communications conference (GLOBECOM), 1-6, 2016 | 372 | 2016 |
| Joint task offloading scheduling and transmit power allocation for mobile-edge computing systems Y Mao, J Zhang, KB Letaief 2017 IEEE wireless communications and networking conference (WCNC), 1-6, 2017 | 273 | 2017 |
| Mobile edge computing: Survey and research outlook Y Mao, C You, J Zhang, K Huang, KB Letaief arXiv preprint arXiv:1701.01090, 1-37, 2017 | 262 | 2017 |
| Learning task-oriented communication for edge inference: An information bottleneck approach J Shao, Y Mao, J Zhang IEEE Journal on Selected Areas in Communications 40 (1), 197-211, 2021 | 184 | 2021 |
| Energy harvesting small cell networks: feasibility, deployment, and operation Y Mao, Y Luo, J Zhang, KB Letaief IEEE Communications Magazine 53 (6), 94-101, 2015 | 142 | 2015 |
| A Lyapunov optimization approach for green cellular networks with hybrid energy supplies Y Mao, J Zhang, KB Letaief IEEE Journal on Selected Areas in Communications 33 (12), 2463-2477, 2015 | 137 | 2015 |
| Task-oriented communication for multidevice cooperative edge inference J Shao, Y Mao, J Zhang IEEE Transactions on Wireless Communications 22 (1), 73-87, 2022 | 107 | 2022 |
| Semi-decentralized federated edge learning for fast convergence on non-IID data Y Sun, J Shao, Y Mao, JH Wang, J Zhang 2022 IEEE Wireless Communications and Networking Conference (WCNC), 1898-1903, 2022 | 39 | 2022 |
| Branchy-GNN: A device-edge co-inference framework for efficient point cloud processing J Shao, H Zhang, Y Mao, J Zhang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 38 | 2021 |
| Energy consumption analysis of energy harvesting systems with power grid Y Mao, G Yu, C Zhong IEEE Wireless Communications Letters 2 (6), 611-614, 2013 | 35 | 2013 |
| Multi-objective resource allocation for mobile edge computing systems X Zhang, Y Mao, J Zhang, KB Letaief 2017 IEEE 28th annual international symposium on personal, indoor, and …, 2017 | 30 | 2017 |
| Federated learning with gan-based data synthesis for non-iid clients Z Li, J Shao, Y Mao, JH Wang, J Zhang International Workshop on Trustworthy Federated Learning, 17-32, 2022 | 29 | 2022 |
| Grid Energy Consumption and QoS Tradeoff in Hybrid Energy Supply Wireless Networks Y Mao, J Zhang, K Letaief Wireless Communications, IEEE Transactions on 15 (5), 3573-3586, 2016 | 27 | 2016 |
| A survey of what to share in federated learning: perspectives on model utility, privacy leakage, and communication efficiency J Shao, Z Li, W Sun, T Zhou, Y Sun, L Liu, Z Lin, Y Mao, J Zhang arXiv preprint arXiv:2307.10655, 2023 | 20 | 2023 |
| Semi-decentralized federated edge learning with data and device heterogeneity Y Sun, J Shao, Y Mao, JH Wang, J Zhang IEEE Transactions on Network and Service Management 20 (2), 1487-1501, 2023 | 20 | 2023 |
| On the optimal transmission policy in hybrid energy supply wireless communication systems Y Mao, G Yu, Z Zhang IEEE Transactions on Wireless Communications 13 (11), 6422-6430, 2014 | 19 | 2014 |
Jun ZhangHong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
