Shuai Yu
Shuai Yu
Sun Yat-sen University (SYSU
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A D2D-multicast based computation offloading framework for interactive applications
S Yu, R Langar, X Wang
2016 IEEE global communications conference (GLOBECOM), 1-6, 2016
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, 2022
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
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
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
An edge computing-based photo crowdsourcing framework for real-time 3D reconstruction
S Yu, X Chen, S Wang, L Pu, D Wu
IEEE Transactions on Mobile Computing 21 (2), 421-432, 2020
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