Zijun Zhang

Orcid: 0000-0002-2717-5033

According to our database1, Zijun Zhang authored at least 73 papers between 2007 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

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

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding.
CoRR, 2024

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

Explainable Multilayer Graph Neural Network for cancer gene prediction.
Bioinform., November, 2023

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

EAF-WGAN: Enhanced Alignment Fusion-Wasserstein Generative Adversarial Network for Turbulent Image Restoration.
IEEE Trans. Circuits Syst. Video Technol., October, 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

Interpretable neural architecture search and transfer learning for understanding CRISPR-Cas9 off-target enzymatic reactions.
Nat. Comput. Sci., 2023

ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity.
CoRR, 2023

Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures.
CoRR, 2023

Interpretable neural architecture search and transfer learning for understanding sequence dependent enzymatic reactions.
CoRR, 2023

Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting.
CoRR, 2023

Lark: Verified Cross-Domain Access Control for Trusted Execution Environments.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Towards Robust Graph Incremental Learning on Evolving Graphs.
Proceedings of the International Conference on Machine Learning, 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

Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes.
CoRR, 2022

Celestial Spectrum Velocimetry With Non-Linear Fourier Phase Shift and Its CRLB.
IEEE Access, 2022

Is your access allowed or not? A Verified Tag-based Access Control Framework for the Multi-domain TEE.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

2021
A Human-Vehicle Game Stability Control Strategy Considering Drivers' Steering Characteristics.
IEEE Trans. Intell. Transp. Syst., 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

An automated framework for efficiently designing deep convolutional neural networks in genomics.
Nat. Mach. Intell., 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

CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.
Bioinform., 2021

2020
Multiple instance deep learning for weakly-supervised visual object tracking.
Signal Process. Image Commun., 2020

Human-computer interaction based on face feature localization.
J. Vis. Commun. Image Represent., 2020

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

Effects of functional electrical stimulation on neuromuscular function after targeted muscle reinnervation surgery in rats<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Improving Deep Neural Networks: Optimization, Regularization, and Generative Modeling.
PhD thesis, 2019

Stability control of in-wheel motor electric vehicles under extreme conditions.
Trans. Inst. Meas. Control, 2019

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

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge.
CoRR, 2019

Perceptual Generative Autoencoders.
Proceedings of the Deep Generative Models for Highly Structured Data, 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

Removing the Feature Correlation Effect of Multiplicative Noise.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improved Adam Optimizer for Deep Neural Networks.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 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

Optimal Posted Prices for Online Cloud Resource Allocation.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Normalized Direction-preserving Adam.
CoRR, 2017

DEF: an automated dead-end filling approach based on quasi-endosymbiosis.
Bioinform., 2017

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

A Scalable and Distributed Approach for NFV Service Chain Cost Minimization.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 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
An Integrative Bioinformatics Framework for Genome-scale Multiple Level Network Reconstruction of Rice.
J. Integr. Bioinform., 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

Min-cost wireless multihop networks in Euclidean space.
Proceedings of the International Symposium on Network Coding, 2013

2009
A Research on Instability of Small Flow in SCADA and an Optimizing Design for Control.
Proceedings of the Computational Science and Its Applications, 2009

2007
Consistent data for inconsistent XML document.
Inf. Softw. Technol., 2007

Computing Repairs for Inconsistent XML Document Using Chase.
Proceedings of the Advances in Data and Web Management, 2007


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