Gaoqiang Kang

According to our database, Gaoqiang Kang authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Toward Reliable High-Speed Railway Pantograph-Catenary System State Detection: Multitask Deep Neural Networks With Runtime Reliability Monitoring.

Biyu Li, Gaoqiang Kang, Hu Wang, Haitao Liu, Jun Lin, Junping Wang, Yuyi Wang

IEEE Trans. Instrum. Meas., 2024

2022

A Survey on Automatic Inspections of Overhead Contact Lines by Computer Vision.

Long Yu, Shibin Gao, Dongkai Zhang, Gaoqiang Kang, Dong Zhan, Clive Roberts

IEEE Trans. Intell. Transp. Syst., 2022

Adaptive Deep Learning for High-Speed Railway Catenary Swivel Clevis Defects Detection.

Shibin Gao, Gaoqiang Kang, Long Yu, Dongkai Zhang, Xiaoguang Wei, Dong Zhan

IEEE Trans. Intell. Transp. Syst., 2022

2021

DefGAN: Defect Detection GANs With Latent Space Pitting for High-Speed Railway Insulator.

Dongkai Zhang, Shibin Gao, Long Yu, Gaoqiang Kang, Xiaoguang Wei, Dong Zhan

IEEE Trans. Instrum. Meas., 2021

Real-Time Defect Detection of Track Components: Considering Class Imbalance and Subtle Difference Between Classes.

Zhenwei Tu, Songrong Wu, Gaoqiang Kang, Jun Lin

IEEE Trans. Instrum. Meas., 2021

2020

A Robust Pantograph-Catenary Interaction Condition Monitoring Method Based on Deep Convolutional Network.

Dongkai Zhang, Shibin Gao, Long Yu, Gaoqiang Kang, Dong Zhan, Xiaoguang Wei

IEEE Trans. Instrum. Meas., 2020

2019

Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning.

Gaoqiang Kang, Shibin Gao, Long Yu, Dongkai Zhang

IEEE Trans. Instrum. Meas., 2019

Contact Wire Support Defect Detection Using Deep Bayesian Segmentation Neural Networks and Prior Geometric Knowledge.

Gaoqiang Kang, Shibin Gao, Long Yu, Dongkai Zhang, Xiaoguang Wei, Dong Zhan

IEEE Access, 2019