Guanghui Li

Orcid: 0000-0002-6884-5670

Affiliations:
  • 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 38 papers between 2003 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

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

Semi-Supervised EEG Clustering With Multiple Constraints.
IEEE Trans. Knowl. Data Eng., August, 2023

CEC: A Containerized Edge Computing Framework for Dynamic Resource Provisioning.
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

ShVEEGc: EEG Clustering With Improved Cosine Similarity-Transformed Shapley Value.
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

An Offset Graph U-Net for Hyperspectral Image Classification.
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
A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data.
IEEE Trans. Instrum. Meas., 2021

A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks.
Inf. Sci., 2021

Resource Scheduling in Edge Computing: A Survey.
IEEE Commun. Surv. Tutorials, 2021

Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization.
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

Acoustic tomography based on hybrid wave propagation model for tree decay detection.
Comput. Electron. Agric., 2018

Fault-Tolerant Clustering Topology Evolution Mechanism of Wireless Sensor Networks.
IEEE Access, 2018

2016
Stress wave velocity patterns in the longitudinal-radial plane of trees for defect diagnosis.
Comput. Electron. Agric., 2016

2005
Formal Verification Techniques Based on Boolean Satisfiability Problem.
J. Comput. Sci. Technol., 2005

2004
Circuit-Width Based Heuristic for Boolean Reasoning.
Proceedings of the 13th Asian Test Symposium (ATS 2004), 2004

2003
SAT-Based Algorithm of Verification for Port Order Fault.
Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003

Design Error Diagnosis Based on Verification Techniques.
Proceedings of the 12th Asian Test Symposium (ATS 2003), 17-19 November 2003, Xian, China, 2003


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