Zhiqiang Ge

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 102

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Electron.

IEEE Trans. Control. Syst. Technol.

Publications

Junhua Zheng, Zeyu Yang, Zhiqiang Ge
Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics. IEEE Trans. Instrum. Meas. 73 (2024)
Junhua Zheng, Lingquan Zeng, Zeyu Yang, Zhiqiang Ge
Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling. Eng. Appl. Artif. Intell. 136 (2024)
Yue Zhuo, Zhiqiang Ge
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution. CoRR (2024)
Lingquan Zeng, Zhiqiang Ge
Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes. IEEE Trans. Artif. Intell. 5 (2) (2024)
Junhua Zheng, Lingjian Ye, Zhiqiang Ge
Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development. Expert Syst. Appl. 254 (2024)
Zhichao Chen, Zhihuan Song, Zhiqiang Ge
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Zhenqin Yin, Xinmin Zhang, Zhihuan Song, Zhiqiang Ge
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Ruikun Zhai, Junhua Zheng, Zhihuan Song, Zhiqiang Ge
Reliable Soft Sensors With an Inherent Process Graph Constraint. IEEE Trans. Ind. Informatics 20 (6) (2024)
Yue Zhuo, Zhiqiang Ge
Adversarial Security Verification of Data-Driven FDC Systems. IEEE Trans. Reliab. 72 (4) (2023)
Le Yao, Bingbing Shen, Linlin Cui, Junhua Zheng, Zhiqiang Ge
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application. IEEE Trans. Ind. Informatics 19 (4) (2023)
Yimeng He, Xiangyin Kong, Le Yao, Zhiqiang Ge
Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. IEEE Trans. Ind. Informatics 19 (8) (2023)
Bingbing Shen, Le Yao, Zhiqiang Ge
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. IEEE Trans. Cybern. 53 (8) (2023)
Zhenqin Yin, Yue Zhuo, Zhiqiang Ge
Transfer adversarial attacks across industrial intelligent systems. Reliab. Eng. Syst. Saf. 237 (2023)
Xiaoyu Jiang, Zhiqiang Ge
RAGAN: Regression Attention Generative Adversarial Networks. IEEE Trans. Artif. Intell. 4 (6) (2023)
Yue Zhuo, Zhenqin Yin, Zhiqiang Ge
Attack and Defense: Adversarial Security of Data-Driven FDC Systems. IEEE Trans. Ind. Informatics 19 (1) (2023)
Xiangyin Kong, Zhiqiang Ge
Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Xiaoyu Jiang, Xiangyin Kong, Zhiqiang Ge
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality. IEEE CAA J. Autom. Sinica 10 (6) (2023)
Le Yao, Zhiqiang Ge
Causal variable selection for industrial process quality prediction via attention-based GRU network. Eng. Appl. Artif. Intell. 118 (2023)
Lingquan Zeng, Junhua Zheng, Le Yao, Zhiqiang Ge
Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation. IEEE Trans. Instrum. Meas. 72 (2023)
Zeyu Yang, Junhua Zheng, Zhiqiang Ge
Lifelong Bayesian Learning Machines for Streaming Industrial Big Data. IEEE Trans. Syst. Man Cybern. Syst. 53 (3) (2023)
Yimeng He, Le Yao, Zhiqiang Ge, Zhihuan Song
Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes. IEEE Trans. Instrum. Meas. 72 (2023)
Zhichao Chen, Zhiqiang Ge
Directed Acyclic Graphs With Tears. IEEE Trans. Artif. Intell. 4 (4) (2023)
Xiaoyu Jiang, Junhua Zheng, Xinzhen Zhuang, Zhiqiang Ge
Ensemble Data Augmentation for Imbalanced Fault Diagnosis. IEEE Trans. Instrum. Meas. 72 (2023)
Xiangyin Kong, Zhiqiang Ge
Adversarial Attacks on Regression Systems via Gradient Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Zhichao Chen, Zhiqiang Ge
Directed Acyclic Graphs With Tears. CoRR (2023)
Yue Zhuo, Jinchuan Qian, Zhihuan Song, Zhiqiang Ge
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification. CoRR (2023)
Xiaoyu Jiang, Zhiqiang Ge
Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks. IEEE Trans. Artif. Intell. 3 (3) (2022)
Ruikun Zhai, Jiusun Zeng, Zhiqiang Ge
Structured Principal Component Analysis Model With Variable Correlation Constraint. IEEE Trans. Control. Syst. Technol. 30 (2) (2022)
Zeyu Yang, Zhiqiang Ge
On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution. IEEE Trans. Ind. Informatics 18 (12) (2022)
Sifen Liao, Xiaoyu Jiang, Zhiqiang Ge
Weakly Supervised Multilayer Perceptron for Industrial Fault Classification With Inaccurate and Incomplete Labels. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
Zhichao Chen, Zhiqiang Ge
Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice. IEEE Trans. Ind. Informatics 18 (9) (2022)
Junhua Zheng, Yue Liu, Zhiqiang Ge
Dynamic ensemble selection based improved random forests for fault classification in industrial processes. IFAC J. Syst. Control. 20 (2022)
Xiaoyu Jiang, Zhiqiang Ge
Improving the Performance of Just-In-Time Learning-Based Soft Sensor Through Data Augmentation. IEEE Trans. Ind. Electron. 69 (12) (2022)
Xiangyin Kong, Zhiqiang Ge
Deep Learning of Latent Variable Models for Industrial Process Monitoring. IEEE Trans. Ind. Informatics 18 (10) (2022)
Qingqiang Sun, Zhiqiang Ge
Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application. IEEE Trans. Cybern. 52 (5) (2022)
Zhiqiang Ge, Zhihuan Song, Xin Li, Lei Zhang
Meta conditional variational auto-encoder for domain generalization. Comput. Vis. Image Underst. 222 (2022)
Xiaoyu Jiang, Zhiqiang Ge
Information Fingerprint for Secure Industrial Big Data Analytics. IEEE Trans. Ind. Informatics 18 (4) (2022)
Zeyu Yang, Zhiqiang Ge
Rethinking the Value of Just-in-Time Learning in the Era of Industrial Big Data. IEEE Trans. Ind. Informatics 18 (2) (2022)
Xiangyin Kong, Zhiqiang Ge
Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output. IEEE Trans. Ind. Informatics 18 (4) (2022)
Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond. CoRR (2022)
Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge
Latent variable models in the era of industrial big data: Extension and beyond. Annu. Rev. Control. 54 (2022)
Yue Zhuo, Zhiqiang Ge
Data Guardian: A Data Protection Scheme for Industrial Monitoring Systems. IEEE Trans. Ind. Informatics 18 (4) (2022)
Zhiqiang Ge
Semi-supervised data modeling and analytics in the process industry: Current research status and challenges. IFAC J. Syst. Control. 16 (2021)
Le Yao, Zhiqiang Ge
Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction. IEEE Trans. Ind. Informatics 17 (6) (2021)
Bingbing Shen, Zhiqiang Ge
Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application. IEEE Trans. Ind. Informatics 17 (5) (2021)
Weiming Shao, Zhiqiang Ge, Zhihuan Song
Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor. IEEE Trans. Cybern. 51 (7) (2021)
Qingqiang Sun, Zhiqiang Ge
A Survey on Deep Learning for Data-Driven Soft Sensors. IEEE Trans. Ind. Informatics 17 (9) (2021)
Le Yao, Zhiqiang Ge
Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development. IEEE Trans. Instrum. Meas. 70 (2021)
Yue Zhuo, Zhiqiang Ge
Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis. IEEE Trans. Ind. Informatics 17 (11) (2021)
Le Yao, Weiming Shao, Zhiqiang Ge
Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Qingqiang Sun, Zhiqiang Ge
Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data. IEEE Trans. Ind. Informatics 17 (1) (2021)
Le Yao, Zhiqiang Ge
Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes. IEEE Trans. Ind. Informatics 17 (9) (2021)
Xiaoyu Jiang, Zhiqiang Ge
Augmented Multidimensional Convolutional Neural Network for Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 70 (2021)
Jinlin Zhu, Muyun Jiang, Guohao Peng, Le Yao, Zhiqiang Ge
Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes. IEEE Trans. Ind. Electron. 68 (8) (2021)
Le Yao, Xiaoyu Jiang, Gaopan Huang, Jinchuan Qian, Bingbing Shen, Lu Xu, Zhiqiang Ge
Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model. IEEE Trans. Instrum. Meas. 70 (2021)
Xiaoyu Jiang, Zhiqiang Ge
Data Augmentation Classifier for Imbalanced Fault Classification. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Weiming Shao, Zhiqiang Ge, Zhihuan Song
Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing. IEEE Trans. Ind. Informatics 16 (4) (2020)
Le Zhou, Yaoxin Wang, Zhiqiang Ge
Multi-rate principal component regression model for soft sensor application in industrial processes. Sci. China Inf. Sci. 63 (4) (2020)
Xinyu Zhang, Zhiqiang Ge
Automatic Deep Extraction of Robust Dynamic Features for Industrial Big Data Modeling and Soft Sensor Application. IEEE Trans. Ind. Informatics 16 (7) (2020)
Guangjie Chen, Zhiqiang Ge
Hierarchical Bayesian Network Modeling Framework for Large-Scale Process Monitoring and Decision Making. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Zeyu Yang, Zhiqiang Ge
Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression. IEEE Trans. Instrum. Meas. 69 (10) (2020)
Bingbing Shen, Zhiqiang Ge
Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder. IEEE Trans. Instrum. Meas. 69 (9) (2020)
Xinyu Zhang, Zhiqiang Ge
Local Parameter Optimization of LSSVM for Industrial Soft Sensing With Big Data and Cloud Implementation. IEEE Trans. Ind. Informatics 16 (5) (2020)
Junhua Zheng, Jinlin Zhu, Guangjie Chen, Zhihuan Song, Zhiqiang Ge
Dynamic Bayesian network for robust latent variable modeling and fault classification. Eng. Appl. Artif. Intell. 89 (2020)
Weiming Shao, Zhiqiang Ge, Zhihuan Song, Jingbo Wang
Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model. IEEE Trans. Ind. Informatics 16 (5) (2020)
Weiming Shao, Zhiqiang Ge, Le Yao, Zhihuan Song
Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Lingquan Zeng, Zhiqiang Ge
Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing. Eng. Appl. Artif. Intell. 95 (2020)
Le Zhou, Yaoxin Wang, Zhiqiang Ge, Zhihuan Song
Multirate Factor Analysis Models for Fault Detection in Multirate Processes. IEEE Trans. Ind. Informatics 15 (7) (2019)
Yue Liu, Zhiqiang Ge
Deep ensemble forests for industrial fault classification. IFAC J. Syst. Control. 10 (2019)
Le Yao, Zhiqiang Ge
Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data. IEEE Trans. Ind. Informatics 15 (7) (2019)
Gecheng Chen, Zhiqiang Ge
SVM-tree and SVM-forest algorithms for imbalanced fault classification in industrial processes. IFAC J. Syst. Control. 8 (2019)
Zeyu Yang, Le Yao, Zhiqiang Ge
A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling. ASCC (2019)
Weiming Shao, Zhiqiang Ge, Zhihuan Song
Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression. IEEE Trans. Control. Syst. Technol. 27 (5) (2019)
Le Yao, Zhiqiang Ge
Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data. Eng. Appl. Artif. Intell. 81 (2019)
Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge
Back-propagation Based Contribution for nonlinear fault diagnosis. CAA SAFEPROCESS (2019)
Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao
Nonlinear Inferential Sensor Development Based on GMM-ELM. ASCC (2019)
Qingqiang Sun, Zhiqiang Ge
Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application. IEEE Trans. Ind. Informatics 15 (5) (2019)
Weiming Shao, Le Yao, Zhiqiang Ge, Zhihuan Song
Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data. IEEE Trans. Ind. Electron. 66 (8) (2019)
Ya Cong, Le Zhou, Zhihuan Song, Zhiqiang Ge
Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model. IEEE Trans Autom. Sci. Eng. 16 (4) (2019)
Le Yao, Zhiqiang Ge
Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes. IEEE Trans. Ind. Electron. 66 (5) (2019)
Jian Bai, Zhiqiang Ge, Lu Ma
Phase Center Calibration for UWB Phase Interferometer Direction Finding by Virtual Baseline. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2019)
Zhiqiang Ge, Xinru Chen
Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Zhiqiang Ge, Yue Liu
Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application. IEEE Trans. Ind. Informatics 15 (1) (2019)
Le Zhou, Zhiqiang Ge, Zhihuan Song, Si-Zhao Joe Qin
Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model. CAA SAFEPROCESS (2019)
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. IEEE Trans. Ind. Electron. 65 (2) (2018)
Le Zhou, Jiaqi Zheng, Zhiqiang Ge, Zhihuan Song, Shengdao Shan
Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model. IEEE Trans. Ind. Electron. 65 (10) (2018)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, Furong Gao
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data. Annu. Rev. Control. 46 (2018)
Le Yao, Zhiqiang Ge
Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application. IEEE Trans. Ind. Electron. 65 (2) (2018)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes. IFAC J. Syst. Control. 6 (2018)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes. IEEE Trans. Control. Syst. Technol. 25 (3) (2017)
Le Yao, Zhiqiang Ge
Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data. IEEE Trans Autom. Sci. Eng. 14 (1) (2017)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis. IEEE Trans Autom. Sci. Eng. 14 (2) (2017)
Zhiqiang Ge, Zhihuan Song, Steven X. Ding, Biao Huang
Data Mining and Analytics in the Process Industry: The Role of Machine Learning. IEEE Access 5 (2017)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. IEEE Trans. Control. Syst. Technol. 25 (3) (2017)
Yanzhao Wang, Zhiqiang Ge, Juan Su, Wei Wu
SAR Image Registration Using Cluster Analysis and Anisotropic Diffusion-Based SIFT. IGTA (2017)
Le Yao, Zhiqiang Ge
Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach. IEEE Trans. Instrum. Meas. 66 (8) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13 (2) (2017)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data. IEEE Trans. Ind. Informatics 13 (4) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. IEEE Trans. Instrum. Meas. 66 (4) (2017)
Zhiqiang Ge, Shiyong Zhong, Yingwei Zhang
Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes. IEEE Trans. Ind. Informatics 12 (4) (2016)

Zhiqiang Ge.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhiqiang Ge