Guojiang Shen

Orcid: 0000-0003-1064-1250

Affiliations:
  • Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China


According to our database1, Guojiang Shen authored at least 62 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
FedAWR: An Interactive Federated Active Learning Framework for Air Writing Recognition.
IEEE Trans. Mob. Comput., May, 2024

Multi-dimensional visual data completion via weighted hybrid graph-Laplacian.
Signal Process., March, 2024

Urban Overtourism Detection Based on Graph Temporal Convolutional Networks.
IEEE Trans. Comput. Soc. Syst., February, 2024

Mean-field reinforcement learning for decentralized task offloading in vehicular edge computing.
J. Syst. Archit., January, 2024

2023
Spatio-temporal interactive graph convolution network for vehicle trajectory prediction.
Internet Things, December, 2023

KDRank: Knowledge-driven user-aware POI recommendation.
Knowl. Based Syst., October, 2023

TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning.
ACM Trans. Knowl. Discov. Data, May, 2023

Bidirectional spatial-temporal traffic data imputation via graph attention recurrent neural network.
Neurocomputing, April, 2023

Spatio-Temporal Digraph Convolutional Network-Based Taxi Pickup Location Recommendation.
IEEE Trans. Ind. Informatics, 2023

Spatial-temporal hypergraph convolutional network for traffic forecasting.
PeerJ Comput. Sci., 2023

Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data.
Knowl. Based Syst., 2023

2022
A Higher-Order Motif-Based Spatiotemporal Graph Imputation Approach for Transportation Networks.
Wirel. Commun. Mob. Comput., 2022

Multi-Feature Representation Based COVID-19 Risk Stage Evaluation With Transfer Learning.
IEEE Trans. Netw. Sci. Eng., 2022

An Attention-Based Digraph Convolution Network Enabled Framework for Congestion Recognition in Three-Dimensional Road Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Network Theory Based EHG Signal Analysis and its Application in Preterm Prediction.
IEEE J. Biomed. Health Informatics, 2022

GCN2CDD: A Commercial District Discovery Framework via Embedding Space Clustering on Graph Convolution Networks.
IEEE Trans. Ind. Informatics, 2022

Spatial-Temporal-Cost Combination Based Taxi Driving Fraud Detection for Collaborative Internet of Vehicles.
IEEE Trans. Ind. Informatics, 2022

Deep Reinforcement Learning-Based Energy-Efficient Edge Computing for Internet of Vehicles.
IEEE Trans. Ind. Informatics, 2022

FedVCP: A Federated-Learning-Based Cooperative Positioning Scheme for Social Internet of Vehicles.
IEEE Trans. Comput. Soc. Syst., 2022

Hyperspectral and Multispectral Data Fusion via Joint Local-Nonlocal Modeling and Truncation Operator.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Motif discovery based traffic pattern mining in attributed road networks.
Knowl. Based Syst., 2022

Enhancing interactive graph representation learning for review-based item recommendation.
Comput. Sci. Inf. Syst., 2022

Review on EHG signal analysis and its application in preterm diagnosis.
Biomed. Signal Process. Control., 2022

Traffic Flow Imputation Based on Multi-Perspective Spatiotemporal Generative Adversarial Networks.
Proceedings of CECNet 2022, 2022

2021
Mobile Edge Cooperation Optimization for Wearable Internet of Things: A Network Representation-Based Framework.
IEEE Trans. Ind. Informatics, 2021

A Federated Learning-Based License Plate Recognition Scheme for 5G-Enabled Internet of Vehicles.
IEEE Trans. Ind. Informatics, 2021

Enhanced low-rank constraint for temporal subspace clustering and its acceleration scheme.
Pattern Recognit., 2021

ST-AFN: a spatial-temporal attention based fusion network for lane-level traffic flow prediction.
PeerJ Comput. Sci., 2021

Coordinated ramp signal optimization framework based on time series flux-correlation analysis.
PeerJ Comput. Sci., 2021

Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework.
IEEE Internet Things J., 2021

Recurrent-DC: A deep representation clustering model for university profiling based on academic graph.
Future Gener. Comput. Syst., 2021

More Complex More Productive: Characterizing Top Universities Based on Research Publications.
Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication, 2021

Lane-Level Traffic Flow Prediction Based on Dynamic Graph Generation.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

ST-TAP: A Traffic Accident Prediction Framework Based on Spatio-Temporal Transformer.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
DeepCF: A Deep Feature Learning-Based Car-Following Model Using Online Ride-Hailing Trajectory Data.
Wirel. Commun. Mob. Comput., 2020

Research on Phase Combination and Signal Timing Based on Improved K-Medoids Algorithm for Intersection Signal Control.
Wirel. Commun. Mob. Comput., 2020

基于交通路网的TASEP模型的扩展研究 (Study of TASEP Model Based on Road Networks).
计算机科学, 2020

PGA: An Efficient Adaptive Traffic Signal Timing Optimization Scheme Using Actor-Critic Reinforcement Learning Algorithm.
KSII Trans. Internet Inf. Syst., 2020

A Novel Service Composition Algorithm for Cloud-Based Manufacturing Environment.
IEEE Access, 2020

A Ramp Metering Method Based on Congestion Status in the Urban Freeway.
IEEE Access, 2020

HUAD: Hierarchical Urban Anomaly Detection Based on Spatio-Temporal Data.
IEEE Access, 2020

2019
FCG-ASpredictor: An Approach for the Prediction of Average Speed of Road Segments with Floating Car GPS Data.
Sensors, 2019

Traffic Speed Prediction: An Attention-Based Method.
Sensors, 2019

EE-RJMTFN: A novel manufacturing risk evaluation method for alternative resource selection in cloud manufacturing.
Concurr. Eng. Res. Appl., 2019

Infrared Multi-Pedestrian Tracking in Vertical View via Siamese Convolution Network.
IEEE Access, 2019

A New Combinatorial Characteristic Parameter for Clustering-Based Traffic Network Partitioning.
IEEE Access, 2019

Crowd Counting Method Based on Convolutional Neural Network With Global Density Feature.
IEEE Access, 2019

2018
基于CUDA的k-means算法并行化研究 (Study on Parallel K-means Algorithm Based on CUDA).
计算机科学, 2018

A multidimensional extension-based method for resource performance matching in cloud manufacturing.
Concurr. Eng. Res. Appl., 2018

VISOS: A Visual Interactive System for Spatial-Temporal Exploring Station Importance Based on Subway Data.
IEEE Access, 2018

Research on Intelligent Analysis and Depth Fusion of Multi-Source Traffic Data.
IEEE Access, 2018

Research on Traffic Speed Prediction by Temporal Clustering Analysis and Convolutional Neural Network With Deformable Kernels (May, 2018).
IEEE Access, 2018

3D Vehicle Model Retrieval Method Based on Angle Structure Feature of Render Image.
IEEE Access, 2018

2017
Iterative Re-Constrained Group Sparse Face Recognition With Adaptive Weights Learning.
IEEE Trans. Image Process., 2017

Communication-reducing diffusion LMS algorithm over multitask networks.
Inf. Sci., 2017

2016
A dynamic signal coordination control method for urban arterial roads and its application.
Frontiers Inf. Technol. Electron. Eng., 2016

Crowd Activity Classification Using Category Constrained Correlated Topic Model.
KSII Trans. Internet Inf. Syst., 2016

Urban traffic congestion estimation and prediction based on floating car trajectory data.
Future Gener. Comput. Syst., 2016

Performance-Matching-Based Resource Selection for Cloud Manufacturing.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2016

2011
Modeling disease spreading on complex networks.
Comput. Sci. Inf. Syst., 2011

2009
Study on Road Network Traffic Coordination Control Technique With Bus Priority.
IEEE Trans. Syst. Man Cybern. Part C, 2009

2006
Traffic Flow Modeling of Urban Expressway Using Artificial Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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