Shuai Yu

Orcid: 0000-0001-6822-3145

Affiliations:
  • Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China


According to our database1, Shuai Yu authored at least 34 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
FedLEO: An Offloading-Assisted Decentralized Federated Learning Framework for Low Earth Orbit Satellite Networks.
IEEE Trans. Mob. Comput., May, 2024

2023
EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale.
IEEE Trans. Mob. Comput., October, 2023

Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network.
IEEE Trans. Wirel. Commun., July, 2023

GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers.
IEEE J. Sel. Areas Commun., March, 2023

2022
Deep Transfer Learning Across Cities for Mobile Traffic Prediction.
IEEE/ACM Trans. Netw., 2022

An Edge Computing-Based Photo Crowdsourcing Framework for Real-Time 3D Reconstruction.
IEEE Trans. Mob. Comput., 2022

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction.
IEEE Trans. Mob. Comput., 2022

Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication.
IEEE Trans. Intell. Transp. Syst., 2022

Edge intelligence in motion: Mobility-aware dynamic DNN inference service migration with downtime in mobile edge computing.
J. Syst. Archit., 2022

EC-SAGINs: Edge-Computing-Enhanced Space-Air-Ground-Integrated Networks for Internet of Vehicles.
IEEE Internet Things J., 2022

Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping.
IEEE Internet Things J., 2022

An On-orbit Computation Offloading Framework for Satellite Edge Computing.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

2021
Fog-Enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing.
IEEE Trans. Veh. Technol., 2021

Dynamic Age Minimization With Real-Time Information Preprocessing for Edge-Assisted IoT Devices With Energy Harvesting.
IEEE Trans. Netw. Sci. Eng., 2021

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network.
IEEE Internet Things J., 2021

Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence.
IEEE Internet Things J., 2021

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping.
CoRR, 2021

2020
Intelligent Edge: Leveraging Deep Imitation Learning for Mobile Edge Computation Offloading.
IEEE Wirel. Commun., 2020

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning.
IEEE Trans. Wirel. Commun., 2020

A Socially-Aware Hybrid Computation Offloading Framework for Multi-Access Edge Computing.
IEEE Trans. Mob. Comput., 2020

CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications.
IEEE Internet Things J., 2020

CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes.
IEEE Internet Things J., 2020

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network.
CoRR, 2020

Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence.
CoRR, 2020

Knowledge Distillation for Mobile Edge Computation Offloading.
CoRR, 2020

AoI-driven Fresh Situation Awareness by UAV Swarm: Collaborative DRL-based Energy-Efficient Trajectory Control and Data Processing.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

Ada3D: Real-Time 3D Reconstruction with Compression Rate Adaptation.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019
Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting.
Proceedings of the 18th IEEE International Conference On Trust, 2019

Collaborative Computation Offloading for Multi-access Edge Computing.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Computation Offloading With Data Caching Enhancement for Mobile Edge Computing.
IEEE Trans. Veh. Technol., 2018

2017
Computation offloading for mobile edge computing: A deep learning approach.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016
Coalition-based energy efficient offloading strategy for immersive collaborative applications in Femto-Cloud.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

A D2D-Multicast Based Computation Offloading Framework for Interactive Applications.
Proceedings of the 2016 IEEE Global Communications Conference, 2016


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