| Smart resource allocation for mobile edge computing: A deep reinforcement learning approach J Wang, L Zhao, J Liu, N Kato IEEE Transactions on emerging topics in computing 9 (3), 1529-1541, 2019 | 452 | 2019 |
| Joint placement of controllers and gateways in SDN-enabled 5G-satellite integrated network J Liu, Y Shi, L Zhao, Y Cao, W Sun, N Kato IEEE Journal on Selected Areas in Communications 36 (2), 221-232, 2018 | 193 | 2018 |
| Optimal edge resource allocation in IoT-based smart cities L Zhao, J Wang, J Liu, N Kato IEEE Network 33 (2), 30-35, 2019 | 146 | 2019 |
| Routing for crowd management in smart cities: A deep reinforcement learning perspective L Zhao, J Wang, J Liu, N Kato IEEE Communications Magazine 57 (4), 88-93, 2019 | 127 | 2019 |
| Optimal placement of cloudlets for access delay minimization in SDN-based Internet of Things networks L Zhao, W Sun, Y Shi, J Liu IEEE Internet of Things Journal 5 (2), 1334-1344, 2018 | 127 | 2018 |
| Optimal placement of virtual machines for supporting multiple applications in mobile edge networks L Zhao, J Liu IEEE Transactions on Vehicular Technology 67 (7), 6533-6545, 2018 | 92 | 2018 |
| Big data acquisition under failures in FiWi enhanced smart grid H Guo, J Liu, L Zhao IEEE Transactions on Emerging Topics in Computing 7 (3), 420-432, 2017 | 61 | 2017 |
| Optimal placement of virtual machines in mobile edge computing L Zhao, J Liu, Y Shi, W Sun, H Guo GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 50 | 2017 |
| Resilient and low-latency information acquisition for FiWi enhanced smart grid J Liu, H Guo, L Zhao IEEE Network 31 (5), 80-86, 2017 | 15 | 2017 |
| Gateway placement for reliability optimization in 5g-satellite hybrid networks Y Cao, L Zhao, Y Shi, J Liu 2018 International Conference on Computing, Networking and Communications …, 2018 | 12 | 2018 |
| Adaptive content placement in edge networks based on hybrid user preference learning L Zhao, X Lan, L Cai, J Pan 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 5 | 2019 |
| Transform-domain federated learning for edge-enabled iot intelligence L Zhao, L Cai, WS Lu IEEE Internet of Things Journal 10 (7), 6205-6220, 2022 | 3 | 2022 |
| Collaborative learning of different types of healthcare data from heterogeneous IoT devices L Zhao, L Cai, WS Lu IEEE Internet of Things Journal 11 (4), 5757-5769, 2023 | 2 | 2023 |
| Federated learning for data trading portfolio allocation with autonomous economic agents L Zhao, L Cai, WS Lu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Federated Learning with Efficient Local Adaptation for Realized Volatility Prediction Lei Zhao, Lin Cai, Wu-Sheng Lu Transactions on Machine Learning Research, ISSN: 2835-8856, 2025 | | 2025 |
| Tailored Federated Learning with Adaptive Central Acceleration on Diversified Global Models L Zhao, L Cai, WS Lu IEEE Transactions on Neural Networks and Learning Systems, 2162-2388, 2024 | | 2024 |
| Accelerating Federated Learning for Edge Intelligence using Conjugated Central Acceleration with Inexact Global Line Search Lei Zhao, Lin Cai, Wu-Sheng Lu IEEE Transactions on Cognitive Communications and Networking, 2024 | | 2024 |
| Efficient Federated Learning over Heterogeneous Machines L Zhao | | 2023 |
jiajia liuProfessor, School of Cybersecurity, Northwestern Polytechnical UniversityEmail verificata su nwpu.edu.cn