Stability analysis and stabilization for fuzzy hyperbolic time-delay system based on delay partitioning approach. - Gang Wang; Jinhai Liu; Senxiang Lu (Neurocomputing, 2016)

Injurious or Noninjurious Defect Identification From MFL Images in Pipeline Inspection Using Convolutional Neural Network. - Jian Feng 001; Fangming Li; Senxiang Lu; Jinhai Liu; Dazhong Ma (IEEE Trans. Instrum. Meas., 2017)

Quick Reconstruction of Arbitrary Pipeline Defect Profiles From MFL Measurements Employing Modified Harmony Search Algorithm. - Fangming Li; Jian Feng 001; Huaguang Zhang; Jinhai Liu; Senxiang Lu; Dazhong Ma (IEEE Trans. Instrum. Meas., 2018)

An Estimation Method of Defect Size From MFL Image Using Visual Transformation Convolutional Neural Network. - Senxiang Lu; Jian Feng 001; Huaguang Zhang; Jinhai Liu; Zhenning Wu (IEEE Trans. Ind. Informatics, 2019)

An Accurate Object Detector With Effective Feature Extraction by Intrinsic Prior Knowledge. - Maohui Li; Zhuoqun Fang; Senxiang Lu (IEEE Access, 2020)

Anomaly Detection of Complex MFL Measurements Using Low-Rank Recovery in Pipeline Transportation Inspection. - Mingrui Fu; Jinhai Liu; Dong Zang; Senxiang Lu (IEEE Trans. Instrum. Meas., 2020)

Domain Knowledge-Based Deep-Broad Learning Framework for Fault Diagnosis. - Jian Feng 001; Yu Yao 009; Senxiang Lu; Yue Liu 003 (IEEE Trans. Ind. Electron., 2021)

Multisensor Fusion for Magnetic Flux Leakage Defect Characterization Under Information Incompletion. - Mingrui Fu; Jinhai Liu; Huaguang Zhang; Senxiang Lu (IEEE Trans. Ind. Electron., 2021)

Anomaly detection of industrial multi-sensor signals based on enhanced spatiotemporal features. - Lin Jiang 003; Hang Xu 007; Jinhai Liu; Xiangkai Shen; Senxiang Lu; Zhan Shi (Neural Comput. Appl., 2022)

A novel method for fusing graph convolutional network and feature based on feedback connection mechanism for nondestructive testing. - Shaoxuan Zhang; Jian Feng 001; Senxiang Lu (Pattern Recognit. Lett., 2022)

A Single-Stage Enhancement-Identification Framework for Pipeline MFL Inspection. - Jian Feng 001; Xinbo Zhang; Senxiang Lu; Feiran Yang 002 (IEEE Trans. Instrum. Meas., 2022)

A Target-Focusing Optimization Method for 3-D Profile Reconstruction of Defects Using MFL Measurements. - Difei Hou; Senxiang Lu; Guangmo Yi; Junxiang Qiu; Jinhai Liu (IEEE Trans. Instrum. Meas., 2023)

KD-LightNet: A Lightweight Network Based on Knowledge Distillation for Industrial Defect Detection. - Jinhai Liu; Hengguang Li; Fengyuan Zuo; Zhen Zhao; Senxiang Lu (IEEE Trans. Instrum. Meas., 2023)

FMD-Framework: A Size Estimation Method for Pipeline Defects in Weld-Affected Zones. - Xinbo Zhang; Jian Feng 001; Senxiang Lu; Shaoxuan Zhang (IEEE Trans. Instrum. Meas., 2023)

A MFL Mechanism-Based Self-Supervised Method for Defect Detection With Limited Labeled Samples. - He Zhao 013; Jinhai Liu; Jianhua Tang; Xiangkai Shen; Senxiang Lu; Qiannan Wang (IEEE Trans. Instrum. Meas., 2023)

A Double Remote Magnetic Field Synthesis Method for Reducing High-Speed MFL Signal Distortion Caused by Velocity Effect. - Jian Feng 001; Qi Xiao; Senxiang Lu; Huaguang Zhang (IEEE Trans. Ind. Electron., 2024)