Guanghui Li
Orcid: 0000-0002-6884-5670Affiliations:
- Jiangnan University, School of Internet of Things Engineering, Wuxi, China
- Zhejiang Forestry College, School of Information Engineering, Hangzhou, China (former)
- Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (PhD 2005)
According to our database1,
Guanghui Li
authored at least 47 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
HSA-EDI: An Efficient One-Round Integrity Verification for Mobile Edge Caching Using Hierarchical Signature Aggregation.
IEEE Trans. Netw. Serv. Manag., June, 2024
Joint Service Request Scheduling and Container Retention in Serverless Edge Computing for Vehicle-Infrastructure Collaboration.
IEEE Trans. Mob. Comput., June, 2024
IFBCLNet: Spatio-temporal frequency feature extraction-based MI-EEG classification convolutional network.
Biomed. Signal Process. Control., 2024
Biomed. Signal Process. Control., 2024
Mobility-aware proactive video caching based on asynchronous federated learning in mobile edge computing systems.
Appl. Soft Comput., 2024
2023
Erratum to: CA-DTS: A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network.
J. Comput. Sci. Technol., December, 2023
Spectral-spatial dynamic graph convolutional network for hyperspectral image classification.
Earth Sci. Informatics, December, 2023
A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction.
Neural Comput. Appl., October, 2023
CA-DTS: A Distributed and Collaborative Task Scheduling Algorithm for Edge Computing Enabled Intelligent Road Network.
J. Comput. Sci. Technol., September, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Mob. Comput., July, 2023
FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network.
Appl. Soft Comput., May, 2023
ssvEEGc: An efficient EEG clustering method using balance-constrained voting mechanism.
Biomed. Signal Process. Control., March, 2023
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
LARS: A Latency-Aware and Real-Time Scheduling Framework for Edge-Enabled Internet of Vehicles.
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
A Sparse Cross Attention-based Graph Convolution Network with Auxiliary Information Awareness for Traffic Flow Prediction.
CoRR, 2023
An intelligent scheduling framework for DNN task acceleration in heterogeneous edge networks.
Comput. Commun., 2023
Joint Optimization of Request Scheduling and Container Prewarming in Serverless Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
2022
CVC: A Collaborative Video Caching Framework Based on Federated Learning at the Edge.
IEEE Trans. Netw. Serv. Manag., 2022
Feature Fusion via Deep Residual Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022
DRGCN: Dual Residual Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022
ADGCN: An Asynchronous Dilation Graph Convolutional Network for Traffic Flow Prediction.
IEEE Internet Things J., 2022
Traffic flow prediction using multi-view graph convolution and masked attention mechanism.
Comput. Commun., 2022
2021
IEEE Trans. Instrum. Meas., 2021
A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks.
Inf. Sci., 2021
IEEE Access, 2021
Joint Optimization Scheme of Multi-service Replication and Request Offloading in Mobile Edge Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021
2020
Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications.
IEEE Internet Things J., 2020
TMSE: A topology modification strategy to enhance the robustness of scale-free wireless sensor networks.
Comput. Commun., 2020
Drift Calibration Using Constrained Extreme Learning Machine and Kalman Filter in Clustered Wireless Sensor Networks.
IEEE Access, 2020
Anomaly Detection Using Spatio-Temporal Correlation and Information Entropy in Wireless Sensor Networks.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020
2019
Outlier Detection Using Improved Support Vector Data Description in Wireless Sensor Networks.
Sensors, 2019
Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine.
Comput. Electron. Agric., 2019
2018
Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks.
Sensors, 2018
Outlier Detection in Wireless Sensor Networks Using Model Selection-Based Support Vector Data Descriptions.
Sensors, 2018
Comput. Electron. Agric., 2018
IEEE Access, 2018
2016
Stress wave velocity patterns in the longitudinal-radial plane of trees for defect diagnosis.
Comput. Electron. Agric., 2016
2012
The Effect of Wireless Sensor Nodes Deployment Density in Forest Fire Monitoring Quality Evaluation.
J. Networks, 2012
2011
Stress Wave Signal Denoising Using Ensemble Empirical Mode Decomposition and an Instantaneous Half Period Model.
Sensors, 2011
J. Networks, 2011
2005
J. Comput. Sci. Technol., 2005
2004
Proceedings of the 13th Asian Test Symposium (ATS 2004), 2004
2003
Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003
Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003