Xiaogang Deng
Orcid: 0000-0002-9316-9539
According to our database1,
Xiaogang Deng
authored at least 63 papers
between 2009 and 2024.
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Bibliography
2024
Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Soft Comput., June, 2024
Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning.
IEEE Trans. Ind. Informatics, April, 2024
Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis.
Knowl. Based Syst., 2024
A viscous-term subcell limiting approach for high-order FR/CPR method in solving compressible Navier-Stokes equations on curvilinear grids.
J. Comput. Phys., 2024
A multi-order candidates weighting framework for discontinuity capturing of hyperbolic conservation laws.
J. Comput. Phys., 2024
A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression.
Inf. Sci., 2024
Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems.
Eng. Appl. Artif. Intell., 2024
A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids.
CoRR, 2024
Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss.
CoRR, 2024
Appl. Soft Comput., 2024
2023
Swin-FlowNet: Flow field oriented optimization aided by a CNN and Swin-Transformer based model.
J. Comput. Sci., September, 2023
Nonlinear weights for shock capturing schemes with unconditionally optimal high order.
J. Comput. Phys., April, 2023
A Deep Supervised Learning Framework Based on Kernel Partial Least Squares for Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, March, 2023
Knowledge Reverse Distillation Based Confidence Calibration for Deep Neural Networks.
Neural Process. Lett., February, 2023
One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection.
IEEE Trans. Instrum. Meas., 2023
ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation.
IEEE Trans. Ind. Informatics, 2023
Eng. Appl. Artif. Intell., 2023
Eng. Appl. Artif. Intell., 2023
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs.
IEEE Trans. Ind. Informatics, 2022
Connect. Sci., 2022
2021
Pattern Recognit. Lett., 2021
J. Comput. Phys., 2021
Shock capturing schemes based on nonuniform nonlinear weighted interpolation for conservation laws and their application as subcell limiters for FR/CPR.
CoRR, 2021
Weighted Wasserstein Distance-based Improved Serial Principal Component Analysis for Incipient Fault Detection of Complex Industrial Process.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description.
Sensors, 2020
A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description.
IEEE Access, 2020
Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering.
IEEE Access, 2020
IEEE Access, 2020
2019
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Pattern Recognit. Lett., 2019
State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model.
IEEE Access, 2019
Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine.
IEEE Access, 2019
A Model Predictive Control Performance Monitoring and Grading Strategy Based on Improved Slow Feature Analysis.
IEEE Access, 2019
Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes.
IEEE Access, 2019
Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine.
Proceedings of the CAA Symposium on Fault Detection, 2019
Incipient Fault Diagnosis of Sucker Rod Pumping System Using Kullback Leibler Divergence Based Improved Kernel Principal Component Analysis.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Developing a parallel density-based implicit solver with mesh deformation in OpenFOAM.
J. Comput. Sci., 2018
A novel strategy for deriving high-order stable boundary closures based on global conservation, I: Basic formulas.
J. Comput. Phys., 2018
Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis.
Neurocomputing, 2018
Improved grid partitioning algorithms for load-balancing high-order structured aerodynamics simulations.
Comput. Electr. Eng., 2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
2017
Performance modeling and optimization of parallel LU-SGS on many-core processors for 3D high-order CFD simulations.
J. Supercomput., 2017
Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis.
IEEE Access, 2017
Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis.
IEEE Access, 2017
Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method.
IEEE Access, 2017
Deep learning based nonlinear principal component analysis for industrial process fault detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis.
Neurocomputing, 2016
Parallelizing and optimizing large-scale 3D multi-phase flow simulations on the Tianhe-2 supercomputer.
Concurr. Comput. Pract. Exp., 2016
2015
Comput. Electr. Eng., 2015
2014
Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer.
J. Comput. Phys., 2014
Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
2013
Further studies on Geometric Conservation Law and applications to high-order finite difference schemes with stationary grids.
J. Comput. Phys., 2013
Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor.
Neurocomputing, 2013
Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer.
Proceedings of the Supercomputing - 28th International Supercomputing Conference, 2013
2012
J. Comput. Phys., 2012
A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems.
J. Comput. Phys., 2012
2011
Geometric conservation law and applications to high-order finite difference schemes with stationary grids.
J. Comput. Phys., 2011
The Matching for the Multi-project Collaborative Plan of New Product Development and Resource based on Generalized Resource Unit.
Proceedings of the ICEIS 2011, 2011
2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
Multiway kernel independent component analysis based on feature samples for batch process monitoring.
Neurocomputing, 2009