Zhiqiang Ge
Orcid: 0000-0002-2071-4380
According to our database1,
Zhiqiang Ge
authored at least 118 papers
between 2006 and 2025.
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Bibliography
2025
Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.
IEEE Trans. Syst. Man Cybern. Syst., February, 2025
Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism.
IEEE Trans. Ind. Informatics, January, 2025
Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms.
Expert Syst. Appl., 2025
2024
Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification.
IEEE Trans. Ind. Informatics, December, 2024
IEEE Trans. Ind. Informatics, November, 2024
Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.
IEEE Trans. Ind. Informatics, November, 2024
IG<sup>2</sup>: Integrated Gradient on Iterative Gradient Path for Feature Attribution.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2024
Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics.
IEEE Trans. Knowl. Data Eng., June, 2024
IEEE Trans. Ind. Informatics, June, 2024
Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes.
IEEE Trans. Artif. Intell., February, 2024
Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics.
IEEE Trans. Instrum. Meas., 2024
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method.
IEEE Trans. Inf. Forensics Secur., 2024
Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development.
Expert Syst. Appl., 2024
Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling.
Eng. Appl. Artif. Intell., 2024
CoRR, 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
IEEE Trans. Reliab., December, 2023
IEEE Trans. Artif. Intell., December, 2023
Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Reliab. Eng. Syst. Saf., September, 2023
Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application.
IEEE Trans. Ind. Informatics, August, 2023
IEEE CAA J. Autom. Sinica, June, 2023
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application.
IEEE Trans. Ind. Informatics, April, 2023
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Ind. Informatics, 2023
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications.
IEEE Trans. Cybern., 2023
Causal variable selection for industrial process quality prediction via attention-based GRU network.
Eng. Appl. Artif. Intell., 2023
CoRR, 2023
2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice.
IEEE Trans. Ind. Informatics, 2022
Improving the Performance of Just-In-Time Learning-Based Soft Sensor Through Data Augmentation.
IEEE Trans. Ind. Electron., 2022
Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application.
IEEE Trans. Cybern., 2022
IEEE Trans. Control. Syst. Technol., 2022
Weakly Supervised Multilayer Perceptron for Industrial Fault Classification With Inaccurate and Incomplete Labels.
IEEE Trans Autom. Sci. Eng., 2022
IEEE Trans. Artif. Intell., 2022
Dynamic ensemble selection based improved random forests for fault classification in industrial processes.
IFAC J. Syst. Control., 2022
Comput. Vis. Image Underst., 2022
Annu. Rev. Control., 2022
2021
Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data.
IEEE Trans. Neural Networks Learn. Syst., 2021
Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model.
IEEE Trans. Instrum. Meas., 2021
Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Informatics, 2021
Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Informatics, 2021
Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data.
IEEE Trans. Ind. Informatics, 2021
Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application.
IEEE Trans. Ind. Informatics, 2021
Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes.
IEEE Trans. Ind. Electron., 2021
IEEE Trans. Cybern., 2021
IEEE Trans Autom. Sci. Eng., 2021
Semi-supervised data modeling and analytics in the process industry: Current research status and challenges.
IFAC J. Syst. Control., 2021
2020
Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression.
IEEE Trans. Instrum. Meas., 2020
Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder.
IEEE Trans. Instrum. Meas., 2020
Automatic Deep Extraction of Robust Dynamic Features for Industrial Big Data Modeling and Soft Sensor Application.
IEEE Trans. Ind. Informatics, 2020
Local Parameter Optimization of LSSVM for Industrial Soft Sensing With Big Data and Cloud Implementation.
IEEE Trans. Ind. Informatics, 2020
Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Hierarchical Bayesian Network Modeling Framework for Large-Scale Process Monitoring and Decision Making.
IEEE Trans. Control. Syst. Technol., 2020
Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes.
IEEE Trans Autom. Sci. Eng., 2020
Dynamic Bayesian network for robust latent variable modeling and fault classification.
Eng. Appl. Artif. Intell., 2020
Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing.
Eng. Appl. Artif. Intell., 2020
Multi-rate principal component regression model for soft sensor application in industrial processes.
Sci. China Inf. Sci., 2020
2019
IEEE Trans. Ind. Informatics, 2019
Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data.
IEEE Trans. Ind. Informatics, 2019
Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application.
IEEE Trans. Ind. Informatics, 2019
Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Ind. Electron., 2019
Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data.
IEEE Trans. Ind. Electron., 2019
Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression.
IEEE Trans. Control. Syst. Technol., 2019
Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application.
IEEE Trans. Control. Syst. Technol., 2019
Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model.
IEEE Trans Autom. Sci. Eng., 2019
IFAC J. Syst. Control., 2019
SVM-tree and SVM-forest algorithms for imbalanced fault classification in industrial processes.
IFAC J. Syst. Control., 2019
Phase Center Calibration for UWB Phase Interferometer Direction Finding by Virtual Baseline.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019
Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data.
Eng. Appl. Artif. Intell., 2019
Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model.
Proceedings of the CAA Symposium on Fault Detection, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling.
Proceedings of the 12th Asian Control Conference, 2019
Proceedings of the 12th Asian Control Conference, 2019
2018
Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model.
IEEE Trans. Ind. Electron., 2018
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron., 2018
Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application.
IEEE Trans. Ind. Electron., 2018
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes.
IFAC J. Syst. Control., 2018
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data.
Annu. Rev. Control., 2018
2017
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas., 2017
Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach.
IEEE Trans. Instrum. Meas., 2017
Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data.
IEEE Trans. Ind. Informatics, 2017
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics, 2017
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes.
IEEE Trans. Control. Syst. Technol., 2017
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.
IEEE Trans. Control. Syst. Technol., 2017
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis.
IEEE Trans Autom. Sci. Eng., 2017
Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data.
IEEE Trans Autom. Sci. Eng., 2017
IEEE Access, 2017
Proceedings of the Advances in Image and Graphics Technologies - 12th Chinese conference, 2017
2016
Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes.
IEEE Trans. Ind. Informatics, 2016
IEEE Trans. Ind. Informatics, 2016
Supervised Latent Factor Analysis for Process Data Regression Modeling and Soft Sensor Application.
IEEE Trans. Control. Syst. Technol., 2016
2015
HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification.
IEEE Trans. Ind. Electron., 2015
IEEE Trans. Ind. Electron., 2015
2014
Proceedings of the American Control Conference, 2014
2012
Proceedings of the American Control Conference, 2012
2011
Comput. Chem. Eng., 2011
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2006
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006