Zhenquan Shi

Orcid: 0000-0001-6091-3918

Affiliations:
  • Nantong University, School of Transportation and Civil Engineering, School of Information Science and Technology, Jiangsu, China
  • Shanghai University, University of Shanghai for Science and Technology, School of Management, China (PhD 2021)


According to our database1, Zhenquan Shi authored at least 13 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Multi-view fusion neural networks for heterogeneous graph representation learning.
Appl. Intell., August, 2025

Connected Vehicles Traffic Prediction - Emerging GNN Methods
Wireless Networks, Springer, ISBN: 978-3-031-84547-5, 2025

JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations.
Inf. Sci., 2025

A unified framework of semi-supervised community detection integrating network topology and node content.
Inf. Sci., 2025

MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic information.
Appl. Soft Comput., 2025

2024
Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning.
IEEE Access, 2024

GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection.
IEEE Access, 2024

2023
Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction.
Eng. Appl. Artif. Intell., May, 2023

SD-CNN: A static-dynamic convolutional neural network for functional brain networks.
Medical Image Anal., 2023

2022
Attribute reduction with personalized information granularity of nearest mutual neighbors.
Inf. Sci., 2022

A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction.
IEEE Access, 2022

SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction.
IEEE Access, 2022

2020
Regularized DPSS preconditioners for generalized saddle point linear systems.
Comput. Math. Appl., 2020


  Loading...