Liqiang Zhu

Orcid: 0000-0002-5436-6660

According to our database¹, Liqiang Zhu authored at least 25 papers between 2003 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

Intrusion detection for high-speed railways based on unsupervised anomaly detection models.

[BibT_eX]

[DOI]

Yao Wang

Zujun Yu

Liqiang Zhu

Appl. Intell., April, 2023

When SAM Meets Sonar Images.

[BibT_eX]

[DOI]

CoRR, 2023

2022

A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence.

[BibT_eX]

[DOI]

World Wide Web, 2022

A Lightweight Reconstruction Network for Surface Defect Inspection.

[BibT_eX]

[DOI]

CoRR, 2022

Data Augmentation Vision Transformer for Fine-grained Image Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection.

[BibT_eX]

[DOI]

Chao Hu

Liqiang Zhu

CoRR, 2022

Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance.

[BibT_eX]

[DOI]

Chao Hu

Liqiang Zhu

CoRR, 2022

Spatio-Temporal-based Context Fusion for Video Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-scale object detection for high-speed railway clearance intrusion.

[BibT_eX]

[DOI]

Appl. Intell., 2022

2020

On the Identification of Elastic Moduli of In-Service Rail by Ultrasonic Guided Waves.

[BibT_eX]

[DOI]

Liqiang Zhu

Xiangyu Duan

Zujun Yu

Sensors, 2020

Structured feature sparsity training for convolutional neural network compression.

[BibT_eX]

[DOI]

Wei Wang

Liqiang Zhu

J. Vis. Commun. Image Represent., 2020

Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

An Adaptive Track Segmentation Algorithm for a Railway Intrusion Detection System.

[BibT_eX]

[DOI]

Sensors, 2019

High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Sensors, 2019

Foreground Detection for Infrared Videos With Multiscale 3-D Fully Convolutional Network.

[BibT_eX]

[DOI]

Yao Wang

Liqiang Zhu

Zujun Yu

IEEE Geosci. Remote. Sens. Lett., 2019

Reliable identification of redundant kernels for convolutional neural network compression.

[BibT_eX]

[DOI]

Wei Wang

Liqiang Zhu

Baoqing Guo

J. Vis. Commun. Image Represent., 2019

Estimating the Axial Load of In-Service Continuously Welded Rail Under the Influences of Rail Wear and Temperature.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features.

[BibT_eX]

[DOI]

Yao Wang

Zujun Yu

Liqiang Zhu

Sensors, 2018

Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression.

[BibT_eX]

[DOI]

Wei Wang

Liqiang Zhu

CoRR, 2018

An Ultrasonic Guided Wave Mode Excitation Method in Rails.

[BibT_eX]

[DOI]

IEEE Access, 2018

2014

The estimation approach of rail thermal stress based on vehicle-track dynamic responses.

[BibT_eX]

[DOI]

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Subway tunnel crack identification algorithm research based on image processing.

[BibT_eX]

[DOI]

Biao Bai

Liqiang Zhu

Yaodong Wang

Proceedings of the Sixth International Conference on Digital Image Processing, 2014

2009

Nonlinear Time Series Prediction by Using RBF Network.

[BibT_eX]

[DOI]

Liqiang Zhu

Proceedings of the Advances in Neural Networks, 2009

2004

Suppression of Jamming in Excitable Systems by Aperiodic Stochastic Resonance.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2004

2003

Probing Changes in Neural Interaction During Adaptation.

[BibT_eX]

[DOI]

Neural Comput., 2003

Liqiang Zhu

Timeline

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