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He Ming Zhao
Observed name:
He Zhao
Institution:
Northeastern University
Observed institutions:
Soochow University,
Northeastern University
ORCID:
0000-0002-0706-2015
Observed ORCID:
0000-0002-0706-2015
OpenAlex ID:
A5024294536
A Dynamic Weights-Based Wavelet Attention Neural Network for Defect Detection
2023
·
Jinhai Liu
, He Zhao
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
66
A task-oriented physical collaborative network for pipeline defect diagnosis in a magnetic flux leakage detection system
2025
·
Xiangkai Shen
, Jinhai Liu
, et al.
·
Computers in Industry
·
65
An Industrial Fault Sample Reconstruction and Generation Method Under Limited Samples With Missing Information
2024
·
Yifu Ren
, Jinhai Liu
, et al.
·
IEEE Transactions on Systems Man and Cybernetics Systems
·
42
SSCT-Net: A Semisupervised Circular Teacher Network for Defect Detection With Limited Labeled Multiview MFL Samples
2023
·
Xiangkai Shen
, Jinhai Liu
, et al.
·
IEEE Transactions on Industrial Informatics
·
36
A MFL Mechanism-Based Self-Supervised Method for Defect Detection With Limited Labeled Samples
2022
·
He Zhao
, Jinhai Liu
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
35
A Novel Incremental Defect Detection Method via Elastic Heterogeneous Distillation Network
2024
·
Xiangkai Shen
, Jinhai Liu
, et al.
·
IEEE Transactions on Automation Science and Engineering
·
20
A novel anomaly detection method for magnetic flux leakage signals via a feature-based unsupervised detection network
2024
·
He Zhao
, Jinhai Liu
, et al.
·
Computers in Industry
·
13
A Masked Multi-View Bidirectional Network for Class Extremely Imbalanced Object Detection Under Magnetic Flux Leakage Signals
2024
·
He Zhao
, Jinhai Liu
, et al.
·
IEEE Transactions on Automation Science and Engineering
·
7
Research on Multi-target Recognition Algorithm of Pipeline Magnetic Flux Leakage Signal Based on Improved Cascade RCNN
2021
·
Xiangkai Shen
, Jinhai Liu
, et al.
·
International Conference on Industrial Artificial Intelligence (IAI)
·
5
A Lightweight Pipeline Defect Detection Method via Structural Reparameterization Technique and Ghost Convolution
2023
·
Zhitao Wen
, Jinhai Liu
, et al.
·
IEEE Data Driven Control and Learning Systems Conference (DDCLS)
·
4
TSDD-UB: A Texture Simplification-Based Denoising Diffusion Model for Unsupervised Defect Detection Under Ultrasonic B-Scan Signal
2025
·
Liwei Wang
, Jinhai Liu
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
3
A Robust Defect Detection Method for Vision-Based Measurement System via Wavelet-Guided Spatial–Frequency Prior Network
2025
·
Zhitao Wen
, Jinhai Liu
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
3
Implementation of Costas Loop for BPSK Receivers Using FPGA
2012
·
Si Yu Guo
, Dong Hai Qiao
, et al.
·
Applied Mechanics and Materials
·
2
A Cross-View Masked Contrastive Learning Method for Intelligent Pipeline Platform With Unlabeled Samples
2025
·
He Zhao
, Jinhai Liu
, et al.
·
IEEE/ASME Transactions on Mechatronics
·
1
A hierarchical knowledge-embedded fine-grained network for pipeline weak defect detection
2026
·
Jinhai Liu
, Qiannan Wang
, et al.
·
Expert Systems with Applications
A Method based on Feature Reuse and Structure Re-parameterization for Magnetic Flux Leakage Defect Detection
2023
·
Qiannan Wang
, Jinhai Liu
, et al.
·
International Conference on Industrial Artificial Intelligence (IAI)
A DSP-Based System Design for Image Capturing and Transmitting
2014
·
Yong Cheng Wang
, He Ming Zhao
, et al.
·
Advanced materials research
Detection and Analysis of Rats’ Bioelectromagnetic Signal
2014
·
Hong Long Cao
, Fen Ju Qin
, et al.
·
Applied Mechanics and Materials
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Works count:
18
Citation count:
302
H-index:
7
I10-index:
7
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