Lei Wang

Orcid: 0000-0001-9809-3791

Affiliations:
  • Northeastern University, College of Information Science and Engineering, Shenyang, China


According to our database1, Lei Wang authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Complex Welding Defect Detection Method Based on Active Learning in Pipeline Transportation System.
IEEE Trans. Instrum. Meas., 2025

A Reliable Bolt Key-Points Detection Method in Industrial Magnetic Separator Systems.
IEEE Trans. Instrum. Meas., 2025

2024
Multilevel Fine-Grained Features-Based General Framework for Object Detection.
IEEE Trans. Cybern., November, 2024

A High-Precision Size Inversion Method for Pipeline Defects With the Influence of Velocity Effects.
IEEE Trans. Ind. Informatics, October, 2024

Irregular Defect Size Estimation for the Magnetic Flux Leakage Detection System via Expertise-Informed Collaborative Network.
IEEE Trans. Ind. Electron., October, 2024

An Efficient Anchor-Free Defect Detector With Dynamic Receptive Field and Task Alignment.
IEEE Trans. Ind. Informatics, June, 2024

KMSA-Net: A Knowledge-Mining-Based Semantic-Aware Network for Cross-Domain Industrial Process Fault Diagnosis.
IEEE Trans. Ind. Informatics, February, 2024

STMA-Net: A Spatial Transformation-Based Multiscale Attention Network for Complex Defect Detection With X-Ray Images.
IEEE Trans. Instrum. Meas., 2024

TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection.
Knowl. Based Syst., 2024

2023
Defect Size Quantification for Pipeline Magnetic Flux Leakage Detection System via Multilevel Knowledge-Guided Neural Network.
IEEE Trans. Ind. Electron., September, 2023

Pipeline Irregular Defect Inversion for Magnetic Flux Leakage Detection System Based on Heterogeneous Multiclass Feature Fusion.
IEEE Trans. Instrum. Meas., 2023

Basic-Class and Cross-Class Hybrid Feature Learning for Class-Imbalanced Weld Defect Recognition.
IEEE Trans. Ind. Informatics, 2023

2022
A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features.
IEEE Trans. Instrum. Meas., 2022


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