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Zhiqiang Ge
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2020 – today
- 2024
- [j101]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: 108881 (2024) - [j100]Junhua Zheng
Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development. Expert Syst. Appl. 254: 124459 (2024) - [j99]Yue Zhuo
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7173-7190 (2024) - [j98]Lingquan Zeng
Pyramid Dynamic Bayesian Networks for Key Performance Indicator Prediction in Long Time-Delay Industrial Processes. IEEE Trans. Artif. Intell. 5(2): 661-671 (2024) - [j97]Zhenqin Yin
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method. IEEE Trans. Inf. Forensics Secur. 19: 1870-1882 (2024) - [j96]Ruikun Zhai
Reliable Soft Sensors With an Inherent Process Graph Constraint. IEEE Trans. Ind. Informatics 20(6): 8798-8806 (2024) - [j95]Zhenqin Yin
Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems. IEEE Trans. Ind. Informatics 20(11): 13201-13211 (2024) - [j94]Zhichao Chen
Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors. IEEE Trans. Ind. Informatics 20(11): 13296-13307 (2024) - [j93]Junhua Zheng
Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j92]Zhichao Chen
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. IEEE Trans. Knowl. Data Eng. 36(6): 2730-2744 (2024) - [j91]Yue Zhuo
Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12095-12106 (2024) - [i4]Yue Zhuo, Zhiqiang Ge:
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution. CoRR abs/2406.10852 (2024) - 2023
- [j90]Le Yao
Causal variable selection for industrial process quality prediction via attention-based GRU network. Eng. Appl. Artif. Intell. 118: 105658 (2023) - [j89]Xiaoyu Jiang, Xiangyin Kong, Zhiqiang Ge:
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality. IEEE CAA J. Autom. Sinica 10(6): 1445-1461 (2023) - [j88]Zhenqin Yin
Transfer adversarial attacks across industrial intelligent systems. Reliab. Eng. Syst. Saf. 237: 109299 (2023) - [j87]Zhichao Chen
Directed Acyclic Graphs With Tears. IEEE Trans. Artif. Intell. 4(4): 972-983 (2023) - [j86]Xiaoyu Jiang
RAGAN: Regression Attention Generative Adversarial Networks. IEEE Trans. Artif. Intell. 4(6): 1549-1563 (2023) - [j85]Bingbing Shen
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. IEEE Trans. Cybern. 53(8): 4867-4879 (2023) - [j84]Yue Zhuo, Zhenqin Yin
Attack and Defense: Adversarial Security of Data-Driven FDC Systems. IEEE Trans. Ind. Informatics 19(1): 5-19 (2023) - [j83]Le Yao
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application. IEEE Trans. Ind. Informatics 19(4): 6056-6068 (2023) - [j82]Yimeng He
Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. IEEE Trans. Ind. Informatics 19(8): 8817-8828 (2023) - [j81]Yimeng He
Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j80]Xiaoyu Jiang
Ensemble Data Augmentation for Imbalanced Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j79]Lingquan Zeng
Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j78]Xiangyin Kong
Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8923-8937 (2023) - [j77]Yue Zhuo
Adversarial Security Verification of Data-Driven FDC Systems. IEEE Trans. Reliab. 72(4): 1580-1593 (2023) - [j76]Zeyu Yang
Lifelong Bayesian Learning Machines for Streaming Industrial Big Data. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1554-1565 (2023) - [j75]Xiangyin Kong
Adversarial Attacks on Regression Systems via Gradient Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7827-7839 (2023) - [i3]Zhichao Chen, Zhiqiang Ge:
Directed Acyclic Graphs With Tears. CoRR abs/2302.02160 (2023) - [i2]Yue Zhuo, Jinchuan Qian, Zhihuan Song, Zhiqiang Ge:
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification. CoRR abs/2311.05316 (2023) - 2022
- [j74]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: 167-199 (2022) - [j73]Zhiqiang Ge, Zhihuan Song, Xin Li, Lei Zhang:
Meta conditional variational auto-encoder for domain generalization. Comput. Vis. Image Underst. 222: 103503 (2022) - [j72]Junhua Zheng, Yue Liu, Zhiqiang Ge
Dynamic ensemble selection based improved random forests for fault classification in industrial processes. IFAC J. Syst. Control. 20: 100189 (2022) - [j71]Xiaoyu Jiang
Attacks on Data-Driven Process Monitoring Systems: Subspace Transfer Networks. IEEE Trans. Artif. Intell. 3(3): 470-484 (2022) - [j70]Sifen Liao
Weakly Supervised Multilayer Perceptron for Industrial Fault Classification With Inaccurate and Incomplete Labels. IEEE Trans Autom. Sci. Eng. 19(2): 1192-1201 (2022) - [j69]Ruikun Zhai
Structured Principal Component Analysis Model With Variable Correlation Constraint. IEEE Trans. Control. Syst. Technol. 30(2): 558-569 (2022) - [j68]Qingqiang Sun
Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application. IEEE Trans. Cybern. 52(5): 3457-3468 (2022) - [j67]Xiaoyu Jiang
Improving the Performance of Just-In-Time Learning-Based Soft Sensor Through Data Augmentation. IEEE Trans. Ind. Electron. 69(12): 13716-13726 (2022) - [j66]Zeyu Yang
Rethinking the Value of Just-in-Time Learning in the Era of Industrial Big Data. IEEE Trans. Ind. Informatics 18(2): 976-985 (2022) - [j65]Xiangyin Kong
Adversarial Attacks on Neural-Network-Based Soft Sensors: Directly Attack Output. IEEE Trans. Ind. Informatics 18(4): 2443-2451 (2022) - [j64]Yue Zhuo, Zhiqiang Ge
Data Guardian: A Data Protection Scheme for Industrial Monitoring Systems. IEEE Trans. Ind. Informatics 18(4): 2550-2559 (2022) - [j63]Xiaoyu Jiang
Information Fingerprint for Secure Industrial Big Data Analytics. IEEE Trans. Ind. Informatics 18(4): 2641-2650 (2022) - [j62]Zhichao Chen
Knowledge Automation Through Graph Mining, Convolution, and Explanation Framework: A Soft Sensor Practice. IEEE Trans. Ind. Informatics 18(9): 6068-6078 (2022) - [j61]Xiangyin Kong
Deep Learning of Latent Variable Models for Industrial Process Monitoring. IEEE Trans. Ind. Informatics 18(10): 6778-6788 (2022) - [j60]Zeyu Yang
On Paradigm of Industrial Big Data Analytics: From Evolution to Revolution. IEEE Trans. Ind. Informatics 18(12): 8373-8388 (2022) - [i1]Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge:
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond. CoRR abs/2208.10847 (2022) - 2021
- [j59]Zhiqiang Ge:
Semi-supervised data modeling and analytics in the process industry: Current research status and challenges. IFAC J. Syst. Control. 16: 100150 (2021) - [j58]Xiaoyu Jiang
Data Augmentation Classifier for Imbalanced Fault Classification. IEEE Trans Autom. Sci. Eng. 18(3): 1206-1217 (2021) - [j57]Weiming Shao
Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor. IEEE Trans. Cybern. 51(7): 3455-3468 (2021) - [j56]Jinlin Zhu
Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes. IEEE Trans. Ind. Electron. 68(8): 7594-7602 (2021) - [j55]Qingqiang Sun
Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data. IEEE Trans. Ind. Informatics 17(1): 260-269 (2021) - [j54]Bingbing Shen
Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application. IEEE Trans. Ind. Informatics 17(5): 3090-3098 (2021) - [j53]Le Yao
Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction. IEEE Trans. Ind. Informatics 17(6): 3782-3792 (2021) - [j52]Qingqiang Sun
A Survey on Deep Learning for Data-Driven Soft Sensors. IEEE Trans. Ind. Informatics 17(9): 5853-5866 (2021) - [j51]Le Yao
Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes. IEEE Trans. Ind. Informatics 17(9): 6399-6408 (2021) - [j50]Yue Zhuo, Zhiqiang Ge
Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis. IEEE Trans. Ind. Informatics 17(11): 7535-7545 (2021) - [j49]Xiaoyu Jiang
Augmented Multidimensional Convolutional Neural Network for Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j48]Le Yao
Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j47]Le Yao
Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j46]Le Yao
Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3330-3341 (2021) - 2020
- [j45]Le Zhou, Yaoxin Wang
Multi-rate principal component regression model for soft sensor application in industrial processes. Sci. China Inf. Sci. 63(4) (2020) - [j44]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: 103475 (2020) - [j43]Lingquan Zeng, Zhiqiang Ge
Improved Population-Based Incremental Learning of Bayesian Networks with partly known structure and parallel computing. Eng. Appl. Artif. Intell. 95: 103920 (2020) - [j42]Weiming Shao
Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes. IEEE Trans Autom. Sci. Eng. 17(2): 871-885 (2020) - [j41]Guangjie Chen
Hierarchical Bayesian Network Modeling Framework for Large-Scale Process Monitoring and Decision Making. IEEE Trans. Control. Syst. Technol. 28(2): 671-679 (2020) - [j40]Weiming Shao
Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing. IEEE Trans. Ind. Informatics 16(4): 2787-2798 (2020) - [j39]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): 2917-2928 (2020) - [j38]Weiming Shao
Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model. IEEE Trans. Ind. Informatics 16(5): 2965-2976 (2020) - [j37]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): 4456-4467 (2020) - [j36]Bingbing Shen
Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder. IEEE Trans. Instrum. Meas. 69(9): 6132-6142 (2020) - [j35]Zeyu Yang
Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression. IEEE Trans. Instrum. Meas. 69(10): 8128-8136 (2020)
2010 – 2019
- 2019
- [j34]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: 450-465 (2019) - [j33]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. 102-A(10): 1383-1386 (2019) - [j32]Gecheng Chen, Zhiqiang Ge:
SVM-tree and SVM-forest algorithms for imbalanced fault classification in industrial processes. IFAC J. Syst. Control. 8: 100052 (2019) - [j31]Yue Liu, Zhiqiang Ge:
Deep ensemble forests for industrial fault classification. IFAC J. Syst. Control. 10: 100071 (2019) - [j30]Ya Cong, Le Zhou
Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model. IEEE Trans Autom. Sci. Eng. 16(4): 1708-1719 (2019) - [j29]Zhiqiang Ge
Dynamic Probabilistic Latent Variable Model for Process Data Modeling and Regression Application. IEEE Trans. Control. Syst. Technol. 27(1): 323-331 (2019) - [j28]Weiming Shao
Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression. IEEE Trans. Control. Syst. Technol. 27(5): 2169-2181 (2019) - [j27]Le Yao
Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes. IEEE Trans. Ind. Electron. 66(5): 3681-3692 (2019) - [j26]Weiming Shao
Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data. IEEE Trans. Ind. Electron. 66(8): 6362-6373 (2019) - [j25]Zhiqiang Ge
Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application. IEEE Trans. Ind. Informatics 15(1): 357-365 (2019) - [j24]Qingqiang Sun
Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application. IEEE Trans. Ind. Informatics 15(5): 2700-2709 (2019) - [j23]Le Yao
Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data. IEEE Trans. Ind. Informatics 15(7): 4044-4053 (2019) - [j22]Le Zhou
Multirate Factor Analysis Models for Fault Detection in Multirate Processes. IEEE Trans. Ind. Informatics 15(7): 4076-4085 (2019) - [c11]Zeyu Yang, Le Yao, Zhiqiang Ge:
A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling. ASCC 2019: 850-855 - [c10]Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao:
Nonlinear Inferential Sensor Development Based on GMM-ELM. ASCC 2019: 867-872 - [c9]Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge:
Back-propagation Based Contribution for nonlinear fault diagnosis. CAA SAFEPROCESS 2019: 315-320 - [c8]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: 589-595 - 2018
- [j21]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: 107-133 (2018) - [j20]Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes. IFAC J. Syst. Control. 6: 1-15 (2018) - [j19]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): 1490-1498 (2018) - [j18]Xiaofeng Yuan
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. IEEE Trans. Ind. Electron. 65(2): 1508-1517 (2018) - [j17]Le Zhou
Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model. IEEE Trans. Ind. Electron. 65(10): 8184-8194 (2018) - 2017
- [j16]Zhiqiang Ge
Data Mining and Analytics in the Process Industry: The Role of Machine Learning. IEEE Access 5: 20590-20616 (2017) - [j15]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): 126-138 (2017) - [j14]Jinlin Zhu, Zhiqiang Ge, Zhihuan Song:
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis. IEEE Trans Autom. Sci. Eng. 14(2): 1309-1319 (2017) - [j13]Jinlin Zhu, Zhiqiang Ge
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes. IEEE Trans. Control. Syst. Technol. 25(3): 1092-1099 (2017) - [j12]Xiaofeng Yuan, Zhiqiang Ge, Biao Huang
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. IEEE Trans. Control. Syst. Technol. 25(3): 1124-1132 (2017) - [j11]Xiaofeng Yuan, Zhiqiang Ge, Biao Huang
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13(2): 532-541 (2017) - [j10]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): 1877-1885 (2017) - [j9]Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. IEEE Trans. Instrum. Meas. 66(4): 837-845 (2017) - [j8]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): 1985-1993 (2017) - [c7]Yanzhao Wang, Zhiqiang Ge, Juan Su, Wei Wu:
SAR Image Registration Using Cluster Analysis and Anisotropic Diffusion-Based SIFT. IGTA 2017: 1-11 - 2016
- [j7]Zhiqiang Ge:
Supervised Latent Factor Analysis for Process Data Regression Modeling and Soft Sensor Application. IEEE Trans. Control. Syst. Technol. 24(3): 1004-1011 (2016) - [j6]Zhiqiang Ge, Junghui Chen:
Plant-Wide Industrial Process Monitoring: A Distributed Modeling Framework. IEEE Trans. Ind. Informatics 12(1): 310-321 (2016) - [j5]Zhiqiang Ge
Semisupervised Kernel Learning for FDA Model and its Application for Fault Classification in Industrial Processes. IEEE Trans. Ind. Informatics 12(4): 1403-1411 (2016) - 2015
- [j4]Jinlin Zhu, Zhiqiang Ge, Zhihuan Song:
HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification. IEEE Trans. Ind. Electron. 62(6): 3814-3821 (2015) - [j3]Zhiqiang Ge:
Mixture Bayesian Regularization of PCR Model and Soft Sensing Application. IEEE Trans. Ind. Electron. 62(7): 4336-4343 (2015) - 2014
- [c6]Feifan Shen, Zhihuan Song, Zhiqiang Ge:
JITL based local monitoring method for transitions of multiphase batch processes. ACC 2014: 1957-1962 - 2012
- [c5]Qiaojun Wen, Zhiqiang Ge, Zhihuan Song:
Nonlinear dynamic process monitoring based on kernel partial least squares. ACC 2012: 6650-6654 - 2011
- [j2]Zhiqiang Ge, Zhihuan Song:
Process structure change detection by eigenvalue-based method. Comput. Chem. Eng. 35(2): 284-295 (2011) - [j1]Zhiqiang Ge, Zhihuan Song:
A distribution-free method for process monitoring. Expert Syst. Appl. 38(8): 9821-9829 (2011) - 2010
- [c4]Muguang Zhang, Zhiqiang Ge, Zhihuan Song:
Probabilistic process monitoring with Bayesian regularization. ACC 2010: 6999-7003 - [c3]Ruowei Fu, Muguang Zhang, Zhihuan Song, Zhiqiang Ge:
Global-local structure analysis for fault detection. CDC 2010: 4379-4384
2000 – 2009
- 2009
- [c2]Zhiqiang Ge, Zhihuan Song, Muguang Zhang, Ruowei Fu, Zhibo Zhu:
Bayesian method for multimode non-Gaussian process monitoring. CDC 2009: 4927-4932 - 2006
- [c1]Qiang Li, Baocun Qu, Zhiqiang Ge, Xisheng Zhan:
Study of Fuzzy Generalized Predictive Control Algorithm On Nonlinear Systems. ICICIC (1) 2006: 437-440
Coauthor Index
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