Vehicular edge computing and networking: A survey L Liu, C Chen, Q Pei, S Maharjan, Y Zhang Mobile networks and applications 26, 1145-1168, 2021 | 456 | 2021 |
An edge traffic flow detection scheme based on deep learning in an intelligent transportation system C Chen, B Liu, S Wan, P Qiao, Q Pei IEEE Transactions on Intelligent Transportation Systems 22 (3), 1840-1852, 2020 | 327 | 2020 |
Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach J Feng, FR Yu, Q Pei, X Chu, J Du, L Zhu IEEE Internet of Things Journal 7 (7), 6214-6228, 2019 | 288 | 2019 |
Personalized federated learning with differential privacy R Hu, Y Guo, H Li, Q Pei, Y Gong IEEE Internet of Things Journal 7 (10), 9530-9539, 2020 | 270 | 2020 |
Blockchain-enabled secure data sharing scheme in mobile-edge computing: An asynchronous advantage actor–critic learning approach L Liu, J Feng, Q Pei, C Chen, Y Ming, B Shang, M Dong IEEE Internet of Things Journal 8 (4), 2342-2353, 2020 | 166 | 2020 |
Privacy-preserving reputation management for edge computing enhanced mobile crowdsensing L Ma, X Liu, Q Pei, Y Xiang IEEE Transactions on Services Computing 12 (5), 786-799, 2018 | 155 | 2018 |
A novel reversible image data hiding scheme based on pixel value ordering and dynamic pixel block partition X Wang, J Ding, Q Pei Information sciences 310, 16-35, 2015 | 147 | 2015 |
Vehicle selection and resource optimization for federated learning in vehicular edge computing H Xiao, J Zhao, Q Pei, J Feng, L Liu, W Shi IEEE Transactions on Intelligent Transportation Systems 23 (8), 11073-11087, 2021 | 126 | 2021 |
Min-max cost optimization for efficient hierarchical federated learning in wireless edge networks J Feng, L Liu, Q Pei, K Li IEEE Transactions on Parallel and Distributed Systems 33 (11), 2687-2700, 2021 | 117 | 2021 |
A federated learning based privacy-preserving smart healthcare system J Li, Y Meng, L Ma, S Du, H Zhu, Q Pei, X Shen IEEE Transactions on Industrial Informatics 18 (3), 2021 | 117 | 2021 |
Joint optimization of radio and computational resources allocation in blockchain-enabled mobile edge computing systems J Feng, FR Yu, Q Pei, J Du, L Zhu IEEE Transactions on Wireless Communications 19 (6), 4321-4334, 2020 | 114 | 2020 |
Traffic flow prediction based on deep learning in internet of vehicles C Chen, Z Liu, S Wan, J Luan, Q Pei IEEE transactions on intelligent transportation systems 22 (6), 3776-3789, 2020 | 106 | 2020 |
UAV-assisted vehicular edge computing for the 6G internet of vehicles: Architecture, intelligence, and challenges J Hu, C Chen, L Cai, MR Khosravi, Q Pei, S Wan IEEE Communications Standards Magazine 5 (2), 12-18, 2021 | 102 | 2021 |
Heterogeneous computation and resource allocation for wireless powered federated edge learning systems J Feng, W Zhang, Q Pei, J Wu, X Lin IEEE Transactions on Communications 70 (5), 3220-3233, 2022 | 97 | 2022 |
Distributed computation offloading method based on deep reinforcement learning in ICV C Chen, Y Zhang, Z Wang, S Wan, Q Pei Applied Soft Computing 103, 107108, 2021 | 94 | 2021 |
Smart-contract-based economical platooning in blockchain-enabled urban internet of vehicles C Chen, T Xiao, T Qiu, N Lv, Q Pei IEEE Transactions on Industrial Informatics 16 (6), 4122-4133, 2019 | 92 | 2019 |
A connectivity-aware intersection-based routing in VANETs C Chen, Y Jin, Q Pei, N Zhang EURASIP Journal on Wireless Communications and Networking 2014, 1-16, 2014 | 91 | 2014 |
无线传感器网络安全技术综述 裴庆祺, 沈玉龙, 马建峰 通信学报 8, 2007 | 91 | 2007 |
Computation offloading and resource allocation for wireless powered mobile edge computing with latency constraint J Feng, Q Pei, FR Yu, X Chu, B Shang IEEE Wireless Communications Letters 8 (5), 1320-1323, 2019 | 88 | 2019 |
Dynamic network slicing and resource allocation in mobile edge computing systems J Feng, Q Pei, FR Yu, X Chu, J Du, L Zhu IEEE Transactions on Vehicular Technology 69 (7), 7863-7878, 2020 | 86 | 2020 |