Qinyuan Huang

About

QINYUAN HUANG received a Ph.D. in mechatronic engineering from the School of Mechanical Engineering, Sichuan University, Chengdu, China, in 2016. He is a faculty member and an associate professor with the Department of Electrical Engineering, School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, China. Since 2018, he has been a Visiting Scholar with the Department of Chemical and Biomolecular Engineering, University of Akron, USA. His research interests include artificial intelligence, signal processing, and evolutionary computation. His recent research topic mainly focuses on intelligent signal processing for the nondestructive testing of composite materials.

Work

Sichuan University of Science and Engineering
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Associate Professor

China

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Education

Sichuan University
China

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Ph.D

Publications

Synergistic integration of cyclic clustered symplectic geometry mode decomposition and enhanced inception-time network for acoustic emission detection of internal defects in magnetic tiles

Published by

Measurement

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journal-article

Entropy-Driven Adaptive Neighborhood Selection and Fitting for Sub-Millimeter Defect Detection and Quantitative Evaluation in Magnetic Tiles

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Applied Sciences

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Entropy-Driven Adaptive Neighborhood Selection and Fitting for Sub-Millimeter Defect Detection and Quantitative Evaluation in Magnetic Tiles

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Applied Sciences

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An Improved Crayfish Optimization Algorithm: Enhanced Search Efficiency and Application to UAV Path Planning

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Symmetry

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An Improved Crayfish Optimization Algorithm: Enhanced Search Efficiency and Application to UAV Path Planning

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Symmetry

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Comprehensive review of edge and contour detection: from traditional methods to recent advances

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Neural Computing and Applications

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Acoustic emission-based leakage detection for gas safety valves: Leveraging a multi-domain encoding learning algorithm

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Measurement

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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation

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IEEE Access

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Knowledge Distillation for Enhancing a Lightweight Magnet Tile Target Detection Model: Leveraging Spatial Attention and Multi-Scale Output Features

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Electronics

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Knowledge Distillation for Enhancing a Lightweight Magnet Tile Target Detection Model: Leveraging Spatial Attention and Multi-Scale Output Features

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Electronics

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A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects

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Applied Sciences

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A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects

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Applied Sciences

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Machine Vision Detection System for the Tenon Size of Aero-engine Blades

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International Core Journal of Engineering

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Machine Vision Detection System for the Tenon Size of Aero-engine Blades

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International Core Journal of Engineering

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Acoustic Emission-based Method for Detecting Safety Valve Leakage Using SGMD

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International Core Journal of Engineering

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Internal defects inspection of arc magnets using multi-head attention-based CNN

Published by

Measurement

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A harmonic suppression strategy for grid-connected inverters based on quadrature sinewave extractor

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Frontiers in Energy Research

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A Novel Microgrid Islanding Detection Algorithm Based on a Multi-Feature Improved LSTM

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Energies

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A Novel Microgrid Islanding Detection Algorithm Based on a Multi-Feature Improved LSTM

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Energies

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Internal Defect Identification of Arc Magnets Based on a Deep Residual Network Combined with GRU and SqueezeNet

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2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)

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conference-paper

One-Dimensional Convolutional Neural Network for Detecting Internal Defects of Arc Magnets

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2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)

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conference-paper

A parameter-optimized variational mode decomposition method using salp swarm algorithm and its application to acoustic-based detection for internal defects of arc magnets

Published by

AIP Advances

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journal-article

Threshold‐Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic‐Based Internal Defect Detection of Arc Magnets

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Shock and Vibration

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Combined Convolutional and LSTM Recurrent Neural Networks for Internal Defect Detection of Arc Magnets Under Strong Noises and Variable Object Types

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IEEE Access

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Acoustic signal analysis for detecting defects inside an arc magnet using a combination of variational mode decomposition and beetle antennae search

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ISA Transactions

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From design to applications of stimuli-responsive hydrogel strain sensors

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Journal of Materials Chemistry B

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Internal defect inspection in magnetic tile by using acoustic resonance technology

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Journal of Sound and Vibration

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Automatic classification of magnetic tiles internal defects based on acoustic resonance analysis

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Mechanical Systems and Signal Processing

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Inspection of magnetic tile internal cracks based on impact acoustics

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Nondestructive Testing and Evaluation

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