Study of Fuzzy Generalized Predictive Control Algorithm On Nonlinear Systems. - Qiang Li; Baocun Qu; Zhiqiang Ge; Xisheng Zhan 002 (ICICIC (1), 2006)

Bayesian method for multimode non-Gaussian process monitoring. - Zhiqiang Ge; Zhihuan Song; Muguang Zhang; Ruowei Fu; Zhibo Zhu (CDC, 2009)

Probabilistic process monitoring with Bayesian regularization. - Muguang Zhang; Zhiqiang Ge; Zhihuan Song (ACC, 2010)

Global-local structure analysis for fault detection. - Ruowei Fu; Muguang Zhang; Zhihuan Song; Zhiqiang Ge (CDC, 2010)

Process structure change detection by eigenvalue-based method. - Zhiqiang Ge; Zhihuan Song (Comput. Chem. Eng., 2011)

A distribution-free method for process monitoring. - Zhiqiang Ge; Zhihuan Song (Expert Syst. Appl., 2011)

Nonlinear dynamic process monitoring based on kernel partial least squares. - Qiaojun Wen; Zhiqiang Ge; Zhihuan Song (ACC, 2012)

JITL based local monitoring method for transitions of multiphase batch processes. - Feifan Shen; Zhihuan Song; Zhiqiang Ge (ACC, 2014)

Mixture Bayesian Regularization of PCR Model and Soft Sensing Application. - Zhiqiang Ge (IEEE Trans. Ind. Electron., 2015)

HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Electron., 2015)

Supervised Latent Factor Analysis for Process Data Regression Modeling and Soft Sensor Application. - Zhiqiang Ge (IEEE Trans. Control. Syst. Technol., 2016)

Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework. - Zhiqiang Ge; Junghui Chen (IEEE Trans. Ind. Informatics, 2016)

Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes. - Zhiqiang Ge; Shiyong Zhong; Yingwei Zhang 001 (IEEE Trans. Ind. Informatics, 2016)

SAR Image Registration Using Cluster Analysis and Anisotropic Diffusion-Based SIFT. - Yanzhao Wang; Zhiqiang Ge; Juan Su; Wei Wu (IGTA, 2017)

Data Mining and Analytics in the Process Industry: The Role of Machine Learning. - Zhiqiang Ge; Zhihuan Song; Steven X. Ding; Biao Huang 001 (IEEE Access, 2017)

Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data. - Le Yao; Zhiqiang Ge (IEEE Trans Autom. Sci. Eng., 2017)

Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans Autom. Sci. Eng., 2017)

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2017)

Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2017)

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song; Yalin Wang 003 (IEEE Trans. Ind. Informatics, 2017)

Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2017)

Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach. - Le Yao; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2017)

Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. - Xiaofeng Yuan; Zhiqiang Ge; Zhihuan Song; Yalin Wang 003; Chunhua Yang 001; Hongwei Zhang (IEEE Trans. Instrum. Meas., 2017)

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song; Furong Gao (Annu. Rev. Control., 2018)

Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes. - Jinlin Zhu; Zhiqiang Ge; Zhihuan Song (IFAC J. Syst. Control., 2018)

Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2018)

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. - Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Zhiqiang Ge; Zhihuan Song; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2018)

Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model. - Le Zhou; Jiaqi Zheng 002; Zhiqiang Ge; Zhihuan Song; Shengdao Shan (IEEE Trans. Ind. Electron., 2018)

Nonlinear Inferential Sensor Development Based on GMM-ELM. - Weiming Shao; Zhiqiang Ge; Zhihuan Song; Li Zhao (ASCC, 2019)

A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling. - Zeyu Yang; Le Yao; Zhiqiang Ge (ASCC, 2019)

Back-propagation Based Contribution for nonlinear fault diagnosis. - Jinchuan Qian; Li Jiang; Zhihuan Song; Zhiqiang Ge (CAA SAFEPROCESS, 2019)

Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model. - Le Zhou; Zhiqiang Ge; Zhihuan Song; Si-Zhao Joe Qin (CAA SAFEPROCESS, 2019)

Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data. - Le Yao; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2019)

Phase Center Calibration for UWB Phase Interferometer Direction Finding by Virtual Baseline. - Jian Bai; Zhiqiang Ge; Lu Ma (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

SVM-tree and SVM-forest algorithms for imbalanced fault classification in industrial processes. - Gecheng Chen; Zhiqiang Ge (IFAC J. Syst. Control., 2019)

Deep ensemble forests for industrial fault classification. - Yue Liu; Zhiqiang Ge (IFAC J. Syst. Control., 2019)

Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model. - Ya Cong; Le Zhou; Zhihuan Song; Zhiqiang Ge (IEEE Trans Autom. Sci. Eng., 2019)

Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application. - Zhiqiang Ge; Xinru Chen (IEEE Trans. Control. Syst. Technol., 2019)

Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression. - Weiming Shao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2019)

Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data. - Weiming Shao; Le Yao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Electron., 2019)

Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2019)

Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application. - Zhiqiang Ge; Yue Liu (IEEE Trans. Ind. Informatics, 2019)

Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application. - Qingqiang Sun; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2019)

Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2019)

Multirate Factor Analysis Models for Fault Detection in Multirate Processes. - Le Zhou; Yaoxin Wang; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2019)

Multi-rate principal component regression model for soft sensor application in industrial processes. - Le Zhou; Yaoxin Wang; Zhiqiang Ge (Sci. China Inf. Sci., 2020)

Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing. - Lingquan Zeng; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2020)

Dynamic Bayesian network for robust latent variable modeling and fault classification. - Junhua Zheng; Jinlin Zhu; Guangjie Chen; Zhihuan Song; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2020)

Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes. - Weiming Shao; Zhiqiang Ge; Le Yao; Zhihuan Song (IEEE Trans Autom. Sci. Eng., 2020)

Hierarchical Bayesian Network Modeling Framework for Large-Scale Process Monitoring and Decision Making. - Guangjie Chen; Zhiqiang Ge (IEEE Trans. Control. Syst. Technol., 2020)

Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing. - Weiming Shao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2020)

Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model. - Weiming Shao; Zhiqiang Ge; Zhihuan Song; Jingbo Wang 004 (IEEE Trans. Ind. Informatics, 2020)

Local Parameter Optimization of LSSVM for Industrial Soft Sensing With Big Data and Cloud Implementation. - Xinyu Zhang; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2020)

Automatic Deep Extraction of Robust Dynamic Features for Industrial Big Data Modeling and Soft Sensor Application. - Xinyu Zhang; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2020)

Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder. - Bingbing Shen; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2020)

Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression. - Zeyu Yang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2020)

Semi-supervised data modeling and analytics in the process industry: Current research status and challenges. - Zhiqiang Ge (IFAC J. Syst. Control., 2021)

Data Augmentation Classifier for Imbalanced Fault Classification. - Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans Autom. Sci. Eng., 2021)

Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor. - Weiming Shao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Cybern., 2021)

Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes. - Jinlin Zhu; Muyun Jiang; Guohao Peng; Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2021)

Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application. - Bingbing Shen; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data. - Qingqiang Sun; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

A Survey on Deep Learning for Data-Driven Soft Sensors. - Qingqiang Sun; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis. - Yue Zhuo; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Augmented Multidimensional Convolutional Neural Network for Industrial Soft Sensing. - Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2021)

Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development. - Le Yao; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2021)

Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model. - Le Yao; Xiaoyu Jiang; Gaopan Huang; Jinchuan Qian; Bingbing Shen; Lu Xu; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2021)

Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data. - Le Yao; Weiming Shao; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2021)

Latent variable models in the era of industrial big data: Extension and beyond. - Xiangyin Kong; Xiaoyu Jiang; Bingxin Zhang; Jinsong Yuan; Zhiqiang Ge (Annu. Rev. Control., 2022)

Meta conditional variational auto-encoder for domain generalization. - Zhiqiang Ge; Zhihuan Song; Xin Li 100; Lei Zhang 093 (Comput. Vis. Image Underst., 2022)

Dynamic ensemble selection based improved random forests for fault classification in industrial processes. - Junhua Zheng; Yue Liu; Zhiqiang Ge (IFAC J. Syst. Control., 2022)

Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks. - Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans. Artif. Intell., 2022)

Weakly Supervised Multilayer Perceptron for Industrial Fault Classification With Inaccurate and Incomplete Labels. - Sifen Liao; Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans Autom. Sci. Eng., 2022)

Structured Principal Component Analysis Model With Variable Correlation Constraint. - Ruikun Zhai; Jiusun Zeng; Zhiqiang Ge (IEEE Trans. Control. Syst. Technol., 2022)

Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application. - Qingqiang Sun; Zhiqiang Ge (IEEE Trans. Cybern., 2022)

Improving the Performance of Just-In-Time Learning-Based Soft Sensor Through Data Augmentation. - Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2022)

Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice. - Zhichao Chen 001; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Information Fingerprint for Secure Industrial Big Data Analytics. - Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Deep Learning of Latent Variable Models for Industrial Process Monitoring. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Rethinking the Value of Just-in-Time Learning in the Era of Industrial Big Data. - Zeyu Yang; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution. - Zeyu Yang; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

Data Guardian: A Data Protection Scheme for Industrial Monitoring Systems. - Yue Zhuo; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2022)

ABIGX: A Unified Framework for eXplainable Fault Detection and Classification. - Yue Zhuo; Jinchuan Qian; Zhihuan Song; Zhiqiang Ge (CoRR, 2023)

Causal variable selection for industrial process quality prediction via attention-based GRU network. - Le Yao; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2023)

Directed Acyclic Graphs With Tears. - Zhichao Chen 001; Zhiqiang Ge (IEEE Trans. Artif. Intell., 2023)

Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. - Bingbing Shen; Le Yao; Zhiqiang Ge (IEEE Trans. Cybern., 2023)

Attack and Defense: Adversarial Security of Data-Driven FDC Systems. - Yue Zhuo; Zhenqin Yin; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes. - Yimeng He; Le Yao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Instrum. Meas., 2023)

Ensemble Data Augmentation for Imbalanced Fault Diagnosis. - Xiaoyu Jiang; Junhua Zheng; Xinzhen Zhuang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2023)

Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation. - Lingquan Zeng; Junhua Zheng; Le Yao; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2023)

Lifelong Bayesian Learning Machines for Streaming Industrial Big Data. - Zeyu Yang; Junhua Zheng; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application. - Le Yao; Bingbing Shen; Linlin Cui; Junhua Zheng; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality. - Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge (IEEE CAA J. Autom. Sinica, 2023)

Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. - Yimeng He; Xiangyin Kong; Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

Transfer adversarial attacks across industrial intelligent systems. - Zhenqin Yin; Yue Zhuo; Zhiqiang Ge (Reliab. Eng. Syst. Saf., 2023)

Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2023)

RAGAN: Regression Attention Generative Adversarial Networks. - Xiaoyu Jiang; Zhiqiang Ge (IEEE Trans. Artif. Intell., 2023)

Adversarial Security Verification of Data-Driven FDC Systems. - Yue Zhuo; Zhiqiang Ge (IEEE Trans. Reliab., 2023)

Adversarial Attacks on Regression Systems via Gradient Optimization. - Xiangyin Kong; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2023)

IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution. - Yue Zhuo; Zhiqiang Ge (CoRR, 2024)

Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling. - Junhua Zheng; Lingquan Zeng; Zeyu Yang; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2024)

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development. - Junhua Zheng; Lingjian Ye; Zhiqiang Ge (Expert Syst. Appl., 2024)

Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method. - Zhenqin Yin; Xinmin Zhang; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Inf. Forensics Secur., 2024)

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics. - Junhua Zheng; Zeyu Yang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2024)

Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes. - Lingquan Zeng; Zhiqiang Ge (IEEE Trans. Artif. Intell., 2024)

Reliable Soft Sensors With an Inherent Process Graph Constraint. - Ruikun Zhai; Junhua Zheng; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2024)

Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. - Zhichao Chen 001; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Knowl. Data Eng., 2024)

Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems. - Yue Zhuo; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2024)

IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution. - Yue Zhuo; Zhiqiang Ge (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors. - Zhichao Chen 001; Hao Wang 049; Guofei Chen; Yiran Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems. - Zhenqin Yin; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2024)

Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification. - Xiaoyu Jiang; Xiangyin Kong; Junhua Zheng; Zhiqiang Ge; Xinmin Zhang; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms. - Junhua Zheng; Yue Zhuo; Xiaoyu Jiang; Lingquan Zeng; Zhiqiang Ge (Expert Syst. Appl., 2025)

Leveraging Transfer Learning for Data Augmentation in Fault Diagnosis of Imbalanced Time-Frequency Images. - Xiaoyu Jiang; Junhua Zheng; Ziyi Chen; Zhiqiang Ge; Zhihuan Song; Xiaoguang Ma (IEEE Trans Autom. Sci. Eng., 2025)

Advancing Industrial Data Augmentation in AIGC Era: From Foundations to Frontier Applications. - Xiaoyu Jiang; Chen Zheng; Yue Zhuo; Xiangyin Kong; Zhiqiang Ge; Zhihuan Song; Min Xie 001 (IEEE Trans. Instrum. Meas., 2025)

Multi-Rate Data Distillation for Deep Process Monitoring. - Junhua Zheng; Le Zhou; Yuting Lyu; Zeyu Yang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2025)

Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism. - Junhua Zheng; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2025)

Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective. - Zhichao Chen 001; Hao Wang 049; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Industrial Process Monitoring Based on Deep Gaussian and Non-Gaussian Information Fusion Framework. - Zhiqiang Ge (IEEE Trans. Artif. Intell., 2025)

Collaborative Deep Learning and Information Fusion of Heterogeneous Latent Variable Models for Industrial Quality Prediction. - Junhua Zheng; Zhiqiang Ge (IEEE Trans. Cybern., 2025)

Deep Probabilistic Principal Component Analysis for Process Monitoring. - Xiangyin Kong; Yimeng He; Zhihuan Song; Tong Liu 014; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing. - Junhua Zheng; Le Zhou; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics. - Xiaoyu Jiang; Yubin Cheng; Zhihuan Song; Xiaoguang Ma; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Reliab., 2025)

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control. - Zhichao Chen 001; Hao Wang 049; Licheng Pan; Yiran Ma; Yunfei Teng; Jiaze Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (CoRR, 2025)

Fully Automated Deep Residual PCA Network. - Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2025)

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples. - Xiangyin Kong; Xiaoyu Jiang; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Pattern Anal. Mach. Intell., 2025)