Zijun Zhang

Orcid: 0000-0002-2717-5033

Affiliations:
  • City University of Hong Kong, Kowloon, Hong Kong, SAR, China


According to our database1, Zijun Zhang authored at least 53 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Extended Invariant Risk Minimization for Machine Fault Diagnosis With Label Noise and Data Shift.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis.
IEEE Trans. Cybern., August, 2025

Domain Generalization Study of Empirical Risk Minimization From Causal Perspectives.
IEEE Trans. Multim., 2025

Privacy-Preserving Distributed Fault Diagnosis for Multiple Wind Farms Using a Federated Feature Fusion Method.
IEEE Trans Autom. Sci. Eng., 2025

AUDAN: An adversarial unsupervised domain adaptation network informed decision-making in audit risk assessment.
Knowl. Based Syst., 2025

Multitask Pointwise Mutual Information Learning for Bearing Remaining Useful Life Cross-Domain Imbalanced Regression.
IEEE Internet Things J., 2025

STRFormer: A spatial topological relationship-guided multi-modal variational fusion network for intelligent health state diagnosis of the manipulator.
Adv. Eng. Informatics, 2025

Neural ODE powered model for bearing remaining useful life predictions with intra- and inter-domain shifts.
Adv. Eng. Informatics, 2025

2024
Distance-Aware Risk Minimization for Domain Generalization in Machine Fault Diagnosis.
IEEE Internet Things J., November, 2024

An Anomaly-Free Representation Learning Approach for Efficient Railway Foreign Object Detection.
IEEE Trans. Ind. Informatics, October, 2024

A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder-Decoder Network With Invertible Modeling.
IEEE Trans. Artif. Intell., July, 2024

MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios.
IEEE Internet Things J., July, 2024

A Hierarchical Transfer-Generative Framework for Automating Multianalytical Tasks in Rail Surface Defect Inspection.
IEEE Internet Things J., June, 2024

Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling.
IEEE Trans. Cybern., March, 2024

PFFN: Periodic Feature-Folding Deep Neural Network for Traffic Condition Forecasting.
IEEE Internet Things J., January, 2024

A Life-Stage Domain Aware Network for Bearing Health Prognosis Under Unseen Temporal Distribution Shift.
IEEE Trans. Instrum. Meas., 2024

2023
CAMV: A Crash Alarm Model for Vehicles Based on Internet of Vehicles Data.
IEEE Trans. Intell. Transp. Syst., November, 2023

A temporal convolutional recurrent autoencoder based framework for compressing time series data.
Appl. Soft Comput., November, 2023

Editorial: Engineering applications of neurocomputing, volume II.
Frontiers Neurorobotics, June, 2023

A data-driven model assisted hybrid genetic algorithm for a two-dimensional shelf space allocation problem.
Swarm Evol. Comput., March, 2023

Blockchain technology adoption of the manufacturers with product recycling considering green consumers.
Comput. Ind. Eng., March, 2023

A Deep Generative Approach for Rail Foreign Object Detections via Semisupervised Learning.
IEEE Trans. Ind. Informatics, 2023

2022
The Automatic Rail Surface Multi-Flaw Identification Based on a Deep Learning Powered Framework.
IEEE Trans. Intell. Transp. Syst., 2022

A Continual Learning-Based Framework for Developing a Single Wind Turbine Cybertwin Adaptively Serving Multiple Modeling Tasks.
IEEE Trans. Ind. Informatics, 2022

Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images.
Patterns, 2022

Denoising temporal convolutional recurrent autoencoders for time series classification.
Inf. Sci., 2022

A Deep-Learning-Powered Near-Real-Time Detection of Railway Track Major Components: A Two-Stage Computer-Vision-Based Method.
IEEE Internet Things J., 2022

Editorial: Engineering Applications of Neurocomputing.
Frontiers Neurorobotics, 2022

2021
Wind Turbine Gearbox Failure Detection Based on SCADA Data: A Deep Learning-Based Approach.
IEEE Trans. Instrum. Meas., 2021

The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages.
IEEE Trans. Ind. Informatics, 2021

Soil-Moisture-Sensor-Based Automated Soil Water Content Cycle Classification With a Hybrid Symbolic Aggregate Approximation Algorithm.
IEEE Internet Things J., 2021

A data-driven method for enhancing the image-based automatic inspection of IC wire bonding defects.
Int. J. Prod. Res., 2021

Modeling multivariate profiles using Gaussian process-controlled B-splines.
IISE Trans., 2021

Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method.
CoRR, 2021

PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction.
CoRR, 2021

Automatic Detection of Rail Components via A Deep Convolutional Transformer Network.
CoRR, 2021

Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method.
CoRR, 2021

2020
The automatic segmentation of residential solar panels based on satellite images: A cross learning driven U-Net method.
Appl. Soft Comput., 2020

2019
Automatic Detection of Rail Surface Cracks with a Superpixel-Based Data-Driven Framework.
J. Comput. Civ. Eng., 2019

2018
Wind Turbine Blade Breakage Monitoring With Deep Autoencoders.
IEEE Trans. Smart Grid, 2018

Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout.
IEEE Trans. Ind. Informatics, 2018

Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy.
IEEE Trans. Ind. Informatics, 2018

A GPU-accelerated parallel Jaya algorithm for efficiently estimating Li-ion battery model parameters.
Appl. Soft Comput., 2018

2017
Wind Turbine Gearbox Failure Identification With Deep Neural Networks.
IEEE Trans. Ind. Informatics, 2017

Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images.
IEEE Trans. Ind. Electron., 2017

Formulation and Analysis of Grid and Coordinate Models for Planning Wind Farm Layouts.
IEEE Access, 2017

2016
Wind Turbine Modeling With Data-Driven Methods and Radially Uniform Designs.
IEEE Trans. Ind. Informatics, 2016

2015
Data-Driven Wind Turbine Power Generation Performance Monitoring.
IEEE Trans. Ind. Electron., 2015

Data-driven minimization of pump operating and maintenance cost.
Eng. Appl. Artif. Intell., 2015

2013
Scheduling electric power production at a wind farm.
Eur. J. Oper. Res., 2013

Modeling and analysis of pumps in a wastewater treatment plant: A data-mining approach.
Eng. Appl. Artif. Intell., 2013


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