Xiaogang Deng

Orcid: 0000-0002-9316-9539

According to our database1, Xiaogang Deng authored at least 55 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning.
IEEE Trans. Ind. Informatics, April, 2024

A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression.
Inf. Sci., 2024

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss.
CoRR, 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

TransCFD: A transformer-based decoder for flow field prediction.
Eng. Appl. Artif. Intell., 2023

On confidence computation and calibration of deep support vector data description.
Eng. Appl. Artif. Intell., 2023

Chemical process fault detection using modified CVDA with memory mechanism.
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

AMGNET: multi-scale graph neural networks for flow field prediction.
Connect. Sci., 2022

2021
Anomaly detection using improved deep SVDD model with data structure preservation.
Pattern Recognit. Lett., 2021

On the role of global conservation property for finite difference schemes.
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

Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring.
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

UAV first view landmark localization with active reinforcement learning.
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
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis.
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

UAV First View Landmark Localization via Deep Reinforcement Learning.
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
Process fault detection based on dynamic kernel slow feature analysis.
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
A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases.
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
Seismic denoising based on modified BP neural network.
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


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