HFEL: Joint edge association and resource allocation for cost-efficient hierarchical federated edge learning S Luo, X Chen, Q Wu, Z Zhou, S Yu IEEE Transactions on Wireless Communications 19 (10), 6535-6548, 2020 | 419 | 2020 |
When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense network S Yu, X Chen, Z Zhou, X Gong, D Wu IEEE Internet of Things Journal 8 (4), 2238-2251, 2020 | 336 | 2020 |
Computation offloading for mobile edge computing: A deep learning approach S Yu, X Wang, R Langar 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 202 | 2017 |
Computation offloading with data caching enhancement for mobile edge computing S Yu, R Langar, X Fu, L Wang, Z Han IEEE Transactions on Vehicular Technology 67 (11), 11098-11112, 2018 | 167 | 2018 |
EC-SAGINs: Edge-computing-enhanced space–air–ground-integrated networks for internet of vehicles S Yu, X Gong, Q Shi, X Wang, X Chen IEEE Internet of Things Journal 9 (8), 5742-5754, 2021 | 164 | 2021 |
Joint multiuser DNN partitioning and computational resource allocation for collaborative edge intelligence X Tang, X Chen, L Zeng, S Yu, L Chen IEEE Internet of Things Journal 8 (12), 9511-9522, 2020 | 111 | 2020 |
Intelligent edge: Leveraging deep imitation learning for mobile edge computation offloading S Yu, X Chen, L Yang, D Wu, M Bennis, J Zhang IEEE Wireless Communications 27 (1), 92-99, 2020 | 85 | 2020 |
Graph attention spatial-temporal network with collaborative global-local learning for citywide mobile traffic prediction K He, X Chen, Q Wu, S Yu, Z Zhou IEEE Transactions on mobile computing 21 (4), 1244-1256, 2020 | 84 | 2020 |
CEFL: Online admission control, data scheduling, and accuracy tuning for cost-efficient federated learning across edge nodes Z Zhou, S Yang, L Pu, S Yu IEEE Internet of Things Journal 7 (10), 9341-9356, 2020 | 83 | 2020 |
Diffusion convolutional recurrent neural network with rank influence learning for traffic forecasting Y Huang, Y Weng, S Yu, X Chen 2019 18th IEEE International conference on trust, security and privacy in …, 2019 | 81 | 2019 |
CE-IoT: Cost-effective cloud-edge resource provisioning for heterogeneous IoT applications Z Zhou, S Yu, W Chen, X Chen IEEE Internet of Things Journal 7 (9), 8600-8614, 2020 | 70 | 2020 |
Edge robotics: Edge-computing-accelerated multirobot simultaneous localization and mapping P Huang, L Zeng, X Chen, K Luo, Z Zhou, S Yu IEEE Internet of Things Journal 9 (15), 14087-14102, 2022 | 61 | 2022 |
A socially-aware hybrid computation offloading framework for multi-access edge computing S Yu, B Dab, Z Movahedi, R Langar, L Wang IEEE Transactions on Mobile Computing 19 (6), 1247-1259, 2019 | 59 | 2019 |
EdgeAdaptor: Online configuration adaption, model selection and resource provisioning for edge DNN inference serving at scale K Zhao, Z Zhou, X Chen, R Zhou, X Zhang, S Yu, D Wu IEEE Transactions on Mobile Computing 22 (10), 5870-5886, 2022 | 56 | 2022 |
Evaluation of the blending effectiveness of reclaimed asphalt pavement binder S Yu, S Shen, C Zhang, W Zhang, X Jia Journal of Materials in Civil Engineering 29 (12), 04017230, 2017 | 47 | 2017 |
Collision avoidance predictive motion planning based on integrated perception and V2V communication S Zhang, S Wang, S Yu, JQ James, M Wen IEEE Transactions on Intelligent Transportation Systems 23 (7), 9640-9653, 2022 | 46 | 2022 |
Deep transfer learning across cities for mobile traffic prediction Q Wu, K He, X Chen, S Yu, J Zhang IEEE/ACM Transactions on Networking 30 (3), 1255-1267, 2021 | 40 | 2021 |
FedLEO: An offloading-assisted decentralized federated learning framework for low earth orbit satellite networks Z Zhai, Q Wu, S Yu, R Li, F Zhang, X Chen IEEE Transactions on Mobile Computing, 2023 | 38 | 2023 |
Graph attention spatial-temporal network for deep learning based mobile traffic prediction K He, Y Huang, X Chen, Z Zhou, S Yu 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 30 | 2019 |
Effect of partial blending on high content reclaimed asphalt pavement (RAP) mix design and mixture properties S Yu, S Shen, X Zhou, X Li Transportation Research Record 2672 (28), 79-87, 2018 | 30 | 2018 |