Weiguo Huang

Orcid: 0000-0002-6734-2019

According to our database1, Weiguo Huang authored at least 45 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Cross Metaplectic Wigner Distribution: Definition, Properties, Relation to Short-Time Metaplectic Transform, and Uncertainty Principles.
IEEE Trans. Inf. Theory, May, 2024

Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions.
IEEE Trans. Ind. Informatics, April, 2024

Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf., March, 2024

Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2024

2023
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., December, 2023

Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy.
Knowl. Based Syst., December, 2023

Assessment of Tool Wear With Insufficient and Unbalanced Data Using Improved Conditional Generative Adversarial Net and High-Quality Optimization Algorithm.
IEEE Trans. Ind. Electron., November, 2023

Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis.
Eng. Appl. Artif. Intell., November, 2023

A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf., October, 2023

Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, October, 2023

Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas., 2023

Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2023

Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate.
IEEE Trans. Instrum. Meas., 2023

Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst., 2023

Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis.
Eng. Appl. Artif. Intell., 2023

2022
Long-Tailed Traffic Sign Detection Using Attentive Fusion and Hierarchical Group Softmax.
IEEE Trans. Intell. Transp. Syst., 2022

Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions.
IEEE Trans. Instrum. Meas., 2022

Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst., 2022

Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

Blockchain-Based UAV-Assisted Forest Supervision and Data Sharing.
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

2021
Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Long-Term Performance Prediction of PEMFC Based on LASSO-ESN.
IEEE Trans. Instrum. Meas., 2021

2020
Multiple Enhanced Sparse Decomposition for Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020

Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020

2019
Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019

Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds.
IEEE Access, 2019

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018
Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis.
Neurocomputing, 2018

Image smoothing via a scale-aware filter and <i>L</i> <sub>0</sub> norm.
IET Image Process., 2018

Dense and Tight Detection of Chinese Characters in Historical Documents: Datasets and a Recognition Guided Detector.
IEEE Access, 2018

Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Transients Extraction Based on Averaged Random Orthogonal Matching Pursuit Algorithm for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2017

A Comprehensive Analysis of Misclassified Handwritten Chinese Character Samples by Incorporating Human Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016
Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

2015
Shape matching and object recognition using common base triangle area.
IET Comput. Vis., 2015

2014
Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection.
Signal Process., 2014

Adaptive discrete curve evolution for shape recognition.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

Sparsity-enabled signal transient feature extraction using wavelet basis and constrained optimization algorithm.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Efficient object recognition method based on hierarchical representation.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

2010
Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection.
EURASIP J. Adv. Signal Process., 2010

2009
Research on Blind Source Separation for Machine Vibrations.
Wirel. Sens. Netw., 2009


  Loading...