UAVs as an intelligent service: Boosting edge intelligence for air-ground integrated networks C Dong, Y Shen, Y Qu, K Wang, J Zheng, Q Wu, F Wu IEEE Network 35 (4), 167-175, 2021 | 80 | 2021 |
Service provisioning for UAV-enabled mobile edge computing Y Qu, H Dai, H Wang, C Dong, F Wu, S Guo, Q Wu IEEE Journal on Selected Areas in Communications 39 (11), 3287-3305, 2021 | 70 | 2021 |
Decentralized federated learning for UAV networks: Architecture, challenges, and opportunities Y Qu, H Dai, Y Zhuang, J Chen, C Dong, F Wu, S Guo IEEE Network 35 (6), 156-162, 2021 | 58 | 2021 |
Edge computing-empowered large-scale traffic data recovery leveraging low-rank theory C Xiang, Z Zhang, Y Qu, D Lu, X Fan, P Yang, F Wu IEEE Transactions on Network Science and Engineering 7 (4), 2205-2218, 2020 | 51 | 2020 |
Empowering edge intelligence by air-ground integrated federated learning Y Qu, C Dong, J Zheng, H Dai, F Wu, S Guo, A Anpalagan IEEE Network 35 (5), 34-41, 2021 | 46* | 2021 |
Joint training and resource allocation optimization for federated learning in UAV swarm Y Shen, Y Qu, C Dong, F Zhou, Q Wu IEEE Internet of Things Journal 10 (3), 2272-2284, 2022 | 41 | 2022 |
Reusing delivery drones for urban crowdsensing C Xiang, Y Zhou, H Dai, Y Qu, S He, C Chen, P Yang IEEE Transactions on Mobile Computing 22 (5), 2972-2988, 2021 | 41 | 2021 |
Posted pricing for chance constrained robust crowdsensing Y Qu, S Tang, C Dong, P Li, S Guo, H Dai, F Wu IEEE Transactions on Mobile Computing 19 (1), 188-199, 2018 | 34 | 2018 |
A survey on collaborative DNN inference for edge intelligence WQ Ren, YB Qu, C Dong, YQ Jing, H Sun, QH Wu, S Guo Machine Intelligence Research 20 (3), 370-395, 2023 | 33 | 2023 |
Deep learning for intelligent traffic sensing and prediction: recent advances and future challenges X Fan, C Xiang, L Gong, X He, Y Qu, S Amirgholipour, Y Xi, P Nanda, ... CCF Transactions on Pervasive Computing and Interaction 2, 240-260, 2020 | 33 | 2020 |
AoI-aware scheduling for air-ground collaborative mobile edge computing Z Qin, Z Wei, Y Qu, F Zhou, H Wang, DWK Ng, CB Chae IEEE Transactions on Wireless Communications 22 (5), 2989-3005, 2022 | 30 | 2022 |
Task selection and scheduling in UAV-enabled MEC for reconnaissance with time-varying priorities Z Qin, H Wang, Z Wei, Y Qu, F Xiong, H Dai, T Wu IEEE Internet of Things Journal 8 (24), 17290-17307, 2021 | 30 | 2021 |
Joint task scheduling, resource allocation, and UAV trajectory under clustering for FANETs W You, C Dong, Q Wu, Y Qu, Y Wu, R He China Communications 19 (1), 104-118, 2022 | 27 | 2022 |
Robust server placement for edge computing D Lu, Y Qu, F Wu, H Dai, C Dong, G Chen 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 25 | 2020 |
Robust offloading scheduling for mobile edge computing Y Qu, H Dai, F Wu, D Lu, C Dong, S Tang, G Chen IEEE Transactions on Mobile Computing 21 (7), 2581-2595, 2020 | 23 | 2020 |
A comparative approach to resurrecting the market of mod vehicular crowdsensing C Xiang, Y Li, Y Zhou, S He, Y Qu, Z Li, L Gong, C Chen IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1479-1488, 2022 | 20 | 2022 |
Spectrum-aware network coded multicast in mobile cognitive radio ad hoc networks Y Qu, C Dong, S Guo, S Tang, H Wang, C Tian IEEE Transactions on Vehicular Technology 66 (6), 5340-5350, 2016 | 20 | 2016 |
Multicast in multi-channel cognitive radio ad hoc networks: Challenges and research aspects C Dong, Y Qu, H Dai, S Guo, Q Wu Computer Communications 132, 10-16, 2018 | 16 | 2018 |
Server placement for edge computing: A robust submodular maximization approach Y Qu, L Wang, H Dai, W Wang, C Dong, F Wu, S Guo IEEE Transactions on Mobile Computing 22 (6), 3634-3649, 2021 | 14 | 2021 |
A survey of UAV-based edge intelligent computing C Dong, Y Shen, Y Qu Chinese Journal of Intelligent Science and Technology 2 (3), 227-239, 2020 | 14 | 2020 |