Probing Changes in Neural Interaction During Adaptation. - Liqiang Zhu; Ying-Cheng Lai; Frank Hoppensteadt; Jiping He (Neural Comput., 2003)

Suppression of Jamming in Excitable Systems by Aperiodic Stochastic Resonance. - Ying-Cheng Lai; Zonghua Liu; Arje Nachman; Liqiang Zhu (Int. J. Bifurc. Chaos, 2004)

Nonlinear Time Series Prediction by Using RBF Network. - Liqiang Zhu (ISNN (1), 2009)

Subway tunnel crack identification algorithm research based on image processing. - Biao Bai; Liqiang Zhu; Yaodong Wang (ICDIP, 2014)

The estimation approach of rail thermal stress based on vehicle-track dynamic responses. - Yishi Guo; Zujun Yu; Hongmei Shi; Liqiang Zhu (ITSC, 2014)

An Ultrasonic Guided Wave Mode Excitation Method in Rails. - Xu Xining; Zhuang Lu; Xing Bo; Zujun Yu; Liqiang Zhu (IEEE Access, 2018)

Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression. - Wei Wang 363; Liqiang Zhu (CoRR, 2018)

Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features. - Yao Wang 016; Zujun Yu; Liqiang Zhu (Sensors, 2018)

Estimating the Axial Load of In-Service Continuously Welded Rail Under the Influences of Rail Wear and Temperature. - Xiangyu Duan; Liqiang Zhu; Zujun Yu; Xu Xining (IEEE Access, 2019)

Reliable identification of redundant kernels for convolutional neural network compression. - Wei Wang 363; Liqiang Zhu; Baoqing Guo (J. Vis. Commun. Image Represent., 2019)

Foreground Detection for Infrared Videos With Multiscale 3-D Fully Convolutional Network. - Yao Wang 016; Liqiang Zhu; Zujun Yu (IEEE Geosci. Remote. Sens. Lett., 2019)

High-Speed Railway Intruding Object Image Generating with Generative Adversarial Networks. - Baoqing Guo; Gan Geng; Liqiang Zhu; Hongmei Shi; Zujun Yu (Sensors, 2019)

An Adaptive Track Segmentation Algorithm for a Railway Intrusion Detection System. - Yang Wang; Liqiang Zhu; Zujun Yu; Baoqing Guo (Sensors, 2019)

Vanishing Point Detection and Rail Segmentation Based on Deep Multi-Task Learning. - Xingxin Li; Liqiang Zhu; Zujun Yu; Baoqing Guo; Yanqin Wan (IEEE Access, 2020)

Structured feature sparsity training for convolutional neural network compression. - Wei Wang 363; Liqiang Zhu (J. Vis. Commun. Image Represent., 2020)

On the Identification of Elastic Moduli of In-Service Rail by Ultrasonic Guided Waves. - Liqiang Zhu; Xiangyu Duan; Zujun Yu (Sensors, 2020)

Multi-scale object detection for high-speed railway clearance intrusion. - Runliang Tian; Hongmei Shi; Baoqing Guo; Liqiang Zhu (Appl. Intell., 2022)

Spatio-Temporal-based Context Fusion for Video Anomaly Detection. - Chao Hu; Weibin Qiu; Weijie Wu; Liqiang Zhu (CoRR, 2022)

Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance. - Chao Hu; Liqiang Zhu (CoRR, 2022)

Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection. - Chao Hu; Liqiang Zhu (CoRR, 2022)

Data Augmentation Vision Transformer for Fine-grained Image Classification. - Chao Hu; Liqiang Zhu; Weibin Qiu; Weijie Wu (CoRR, 2022)

A Lightweight Reconstruction Network for Surface Defect Inspection. - Chao Hu; Jian Yao; Weijie Wu; Weibin Qiu; Liqiang Zhu (CoRR, 2022)

A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence. - Liqiang Zhu; Changming Wang; Zhihui He; Yuan Zhang 007 (World Wide Web, 2022)

When SAM Meets Sonar Images. - Lin Wang; Xiufen Ye; Liqiang Zhu; Weijie Wu; Jianguo Zhang; Huiming Xing; Chao Hu (CoRR, 2023)

Intrusion detection for high-speed railways based on unsupervised anomaly detection models. - Yao Wang 016; Zujun Yu; Liqiang Zhu (Appl. Intell., 2023)

When SAM Meets Sonar Images. - Lin Wang 027; Xiufen Ye; Liqiang Zhu; Weijie Wu; Jianguo Zhang; Huiming Xing; Chao Hu (IEEE Geosci. Remote. Sens. Lett., 2024)

TeaTFactor: A Prediction Tool for Tea Plant Transcription Factors Based on BERT. - Qinan Tang; Ying Xiang; Wanling Gao; Liqiang Zhu; Zishu Xu; Yeyun Li; Zhenyu Yue (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

IllumiNet: A two-stage model for effective flare removal and light enhancement under complex lighting conditions. - Lizhi Xu; Liqiang Zhu; Yaodong Wang; Yao Wang (Expert Syst. Appl., 2025)

Rail-PatchCore: unsupervised learning-based detection of visual anomalies in the railway-turnout environment. - YuanHao Zhang; Zujun Yu; Liqiang Zhu; Baoqing Guo; Yao Wang (Appl. Intell., 2025)

Multi-scale feature enhanced detection of foreign object intrusions on railways. - Jialin Gao; Liqiang Zhu; Baoqing Guo; Yao Wang (J. Supercomput., 2025)