Ran Zhang

Orcid: 0000-0003-3461-0045

Affiliations:
  • University of British, Columbia School of Engineering, Faculty of Applied Science, BC, Canada
  • Capital Normal University, Beijing, China (2018)


According to our database1, Ran Zhang authored at least 11 papers between 2020 and 2026.

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

2026
PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systems.
Expert Syst. Appl., 2026

2024
A Visual and Textual Information Fusion-Based Zero-Shot Framework for Hazardous Material Placard Detection and Recognition.
IEEE Trans. Artif. Intell., April, 2024

2023
The registration of visible and thermal images through multi-objective optimization.
Inf. Fusion, July, 2023

2022
An End-to-End Framework for Shipping Container Corrosion Defect Inspection.
IEEE Trans. Instrum. Meas., 2022

An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery.
Sensors, 2022

AutoFuse: An Iterative Visible-Infrared Image Fusion Framework Based on Wavelet Autoencoder.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022

2021
A Vertical Text Spotting Model for Trailer and Container Codes.
IEEE Trans. Instrum. Meas., 2021

An Adaptive Deep Learning Framework for Shipping Container Code Localization and Recognition.
IEEE Trans. Instrum. Meas., 2021

An HRCR-CNN Framework for Automated Security Seal Detection on the Shipping Container.
IEEE Trans. Instrum. Meas., 2021

An Effective Method for Automated Railcar Number Detection and Recognition Based on Deep Learning.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

2020
Optimized Deep Neural Network Architectures with Anchor Box optimization for Shipping Container Corrosion Inspection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020


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