Xiaogang Deng

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 50

Top Topics

Industrial Process

Fault Detection

Component Analysis

Top Venues

J. Comput. Phys.

IEEE Trans. Ind. Informatics

Publications

Xin Feng, Yi Jiang, Jia-Xian Qin, Lai-Ping Zhang, Xiaogang Deng
Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss. CoRR (2024)
Xiaogang Deng, Yue Zhao, Jing Zhang, Xuejing Li, Ziheng Wang
A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression. Inf. Sci. 661 (2024)
Xiangrui Zhang, Chunyue Song, Jun Zhao, Zuhua Xu, Xiaogang Deng
Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yankai Ma, Meiliang Mao, Zhen-Guo Yan, Jinwei Bai, Huajun Zhu, Xiaogang Deng
A multi-order candidates weighting framework for discontinuity capturing of hyperbolic conservation laws. J. Comput. Phys. 510 (2024)
Xiao Wang, Yidao Dong, Shufan Zou, Laiping Zhang, Xiaogang Deng
A semi-supervised framework for computational fluid dynamics prediction. Appl. Soft Comput. 154 (2024)
Huajun Zhu, Zhen-Guo Yan, Huayong Liu, Meiliang Mao, Xiaogang Deng
A viscous-term subcell limiting approach for high-order FR/CPR method in solving compressible Navier-Stokes equations on curvilinear grids. J. Comput. Phys. 514 (2024)
Xiangrui Zhang, Chunyue Song, Jun Zhao, Zuhua Xu, Xiaogang Deng
Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning. IEEE Trans. Ind. Informatics 20 (4) (2024)
Xiao Wang, Yi Jiang, Guanxiong Li, Laiping Zhang, Xiaogang Deng
Sag-flownet: self-attention generative network for airfoil flow field prediction. Soft Comput. 28 (11-12) (2024)
Yiye Zou, Tianyu Li, Shufan Zou, Jingyu Wang, Laiping Zhang, Xiaogang Deng
A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids. CoRR (2024)
Xuepeng Zhang, Xiaogang Deng, Yuping Cao, Linbo Xiao
Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis. Knowl. Based Syst. 286 (2024)
Xiaogang Deng, Linbo Xiao, Xiaoyue Liu, Xuepeng Zhang
One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection. IEEE Trans. Instrum. Meas. 72 (2023)
Xiaogang Deng, Xianhui Jiang
On confidence computation and calibration of deep support vector data description. Eng. Appl. Artif. Intell. 125 (2023)
Wenjie Yang, Xiaogang Deng, Xiaoyue Liu
Chemical process fault detection using modified CVDA with memory mechanism. SAFEPROCESS (2023)
Xianhui Jiang, Xiaogang Deng
Knowledge Reverse Distillation Based Confidence Calibration for Deep Neural Networks. Neural Process. Lett. 55 (1) (2023)
Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu
ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. IEEE Trans. Ind. Informatics 19 (1) (2023)
Jundou Jiang, Guanxiong Li, Yi Jiang, Laiping Zhang, Xiaogang Deng
TransCFD: A transformer-based decoder for flow field prediction. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Yaming Chen, Xiaogang Deng
Nonlinear weights for shock capturing schemes with unconditionally optimal high order. J. Comput. Phys. 478 (2023)
Xiao Wang, Shufan Zou, Yi Jiang, Laiping Zhang, Xiaogang Deng
Swin-FlowNet: Flow field oriented optimization aided by a CNN and Swin-Transformer based model. J. Comput. Sci. 72 (2023)
Yongxuan Chen, Xiaogang Deng
A Deep Supervised Learning Framework Based on Kernel Partial Least Squares for Industrial Soft Sensing. IEEE Trans. Ind. Informatics 19 (3) (2023)
Xiangrui Zhang, Chunyue Song, Jun Zhao, Xiaogang Deng
Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs. IEEE Trans. Ind. Informatics 18 (7) (2022)
Zhishuang Yang, Yidao Dong, Xiaogang Deng, Laiping Zhang
AMGNET: multi-scale graph neural networks for flow field prediction. Connect. Sci. 34 (1) (2022)
Zheng Zhang, Xiaogang Deng
Anomaly detection using improved deep SVDD model with data structure preservation. Pattern Recognit. Lett. 148 (2021)
Huajun Zhu, Huayong Liu, Zhen-Guo Yan, Guoquan Shi, Xiaogang Deng
Shock capturing schemes based on nonuniform nonlinear weighted interpolation for conservation laws and their application as subcell limiters for FR/CPR. CoRR (2021)
Jiabing Dai, Xiaogang Deng, Xiaohui Wang
Weighted Wasserstein Distance-based Improved Serial Principal Component Analysis for Incipient Fault Detection of Complex Industrial Process. CAA SAFEPROCESS (2021)
Jiaxian Qin, Yaming Chen, Xiaogang Deng
On the role of global conservation property for finite difference schemes. J. Comput. Phys. 440 (2021)
Xiaohui Wang, Yanjiang Wang, Xiaogang Deng, Yuping Cao
A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description. IEEE Access 8 (2020)
Yuping Cao, Lei Yu, Xiaogang Deng, Xiaoling Zhang
Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring. IEEE Access 8 (2020)
Xiaogang Deng, Yongxuan Chen, Ping Wang, Yuping Cao
Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering. IEEE Access 8 (2020)
Xiaogang Deng, Zheng Zhang
Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description. Sensors 20 (16) (2020)
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. IEEE Trans. Control. Syst. Technol. 27 (6) (2019)
Hanyuan Zhang, Xiaogang Deng, Yunchu Zhang, Chuanjing Hou, Chengdong Li, Zheng Xin
Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine. IEEE Access 7 (2019)
Kai Gao, Xiaogang Deng, Yuping Cao
Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine. CAA SAFEPROCESS (2019)
Linyuan Shang, Yanjiang Wang, Xiaogang Deng, Yuping Cao, Ping Wang, Yuhong Wang
A Model Predictive Control Performance Monitoring and Grading Strategy Based on Improved Slow Feature Analysis. IEEE Access 7 (2019)
Xinran Wang, Chao Li, Leijian Yu, Lirong Han, Xiaogang Deng, Erfu Yang, Peng Ren
UAV first view landmark localization with active reinforcement learning. Pattern Recognit. Lett. 125 (2019)
Xueying Zheng, Xiaogang Deng
State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model. IEEE Access 7 (2019)
Xiaogang Deng, Peipei Cai, Jiawei Deng, Yuping Cao, Zhihuan Song
Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes. IEEE Access 7 (2019)
Peipei Cai, Xiaogang Deng, Yuping Cao
Incipient Fault Diagnosis of Sucker Rod Pumping System Using Kullback Leibler Divergence Based Improved Kernel Principal Component Analysis. CAA SAFEPROCESS (2019)
Xiang Gao, Chuanfu Xu, Yidao Dong, Min Xiong, Dali Li, Zhenghua Wang, Xiaogang Deng
Developing a parallel density-based implicit solver with mesh deformation in OpenFOAM. J. Comput. Sci. 28 (2018)
Min Xiong, Chuanfu Xu, Xiang Gao, Dali Li, Dandan Qu, Zhenghua Wang, Xiaogang Deng
Improved grid partitioning algorithms for load-balancing high-order structured aerodynamics simulations. Comput. Electr. Eng. 67 (2018)
Xiaogang Deng, Yaming Chen
A novel strategy for deriving high-order stable boundary closures based on global conservation, I: Basic formulas. J. Comput. Phys. 372 (2018)
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 29 (3) (2018)
Xinran Wang, Peng Ren, Leijian Yu, Lirong Han, Xiaogang Deng
UAV First View Landmark Localization via Deep Reinforcement Learning. S+SSPR (2018)
Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao
Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis. Neurocomputing 293 (2018)
Dali Li, Chuanfu Xu, Bin Cheng, Min Xiong, Xiang Gao, Xiaogang Deng
Performance modeling and optimization of parallel LU-SGS on many-core processors for 3D high-order CFD simulations. J. Supercomput. 73 (6) (2017)
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Deep learning based nonlinear principal component analysis for industrial process fault detection. IJCNN (2017)
Hanyuan Zhang, Xuemin Tian, Xiaogang Deng
Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis. IEEE Access 5 (2017)
Yuping Cao, Yongping Hu, Xiaogang Deng, Xuemin Tian
Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method. IEEE Access 5 (2017)
Xiaogang Deng, Na Zhong, Lei Wang
Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis. IEEE Access 5 (2017)
Ying Xu, Xiaogang Deng
Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis. Neurocomputing 200 (2016)
Dali Li, Chuanfu Xu, Yongxian Wang, Zhifang Song, Min Xiong, Xiang Gao, Xiaogang Deng
Parallelizing and optimizing large-scale 3D multi-phase flow simulations on the Tianhe-2 supercomputer. Concurr. Comput. Pract. Exp. 28 (5) (2016)
Ni Zhang, Xuemin Tian, Lianfang Cai, Xiaogang Deng
Process fault detection based on dynamic kernel slow feature analysis. Comput. Electr. Eng. 41 (2015)
Chuanfu Xu, Lilun Zhang, Xiaogang Deng, Jianbin Fang, Guangxue Wang, Wei Cao, Yonggang Che, Yongxian Wang, Wei Liu
Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer. IPDPS (2014)
Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Jianbin Fang, Guangxue Wang, Yi Jiang, Wei Cao, Yonggang Che, Yongxian Wang, Zhenghua Wang, Wei Liu, Xinghua Cheng
Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer. J. Comput. Phys. 278 (2014)
Xiaogang Deng, Yaobing Min, Meiliang Mao, Huayong Liu, Guohua Tu, Hanxin Zhang
Further studies on Geometric Conservation Law and applications to high-order finite difference schemes with stationary grids. J. Comput. Phys. 239 (2013)
Xiaogang Deng, Xuemin Tian
Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor. Neurocomputing 121 (2013)
Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Yi Jiang, Wei Cao, Jianbin Fang, Yonggang Che, Yongxian Wang, Wei Liu
Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer. ISC (2013)
Laiping Zhang, Liu Wei, Lixin He, Xiaogang Deng, Hanxin Zhang
A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems. J. Comput. Phys. 231 (4) (2012)
Laiping Zhang, Liu Wei, Lixin He, Xiaogang Deng, Hanxin Zhang
A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases. J. Comput. Phys. 231 (4) (2012)
Xiaogang Deng, Meiliang Mao, Guohua Tu, Huayong Liu, Hanxin Zhang
Geometric conservation law and applications to high-order finite difference schemes with stationary grids. J. Comput. Phys. 230 (4) (2011)
Xiaogang Deng, Gang Guo
The Matching for the Multi-project Collaborative Plan of New Product Development and Resource based on Generalized Resource Unit. ICEIS (2) (2011)
Yinxue Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao
Seismic denoising based on modified BP neural network. ICNC (2010)
Xuemin Tian, Xiaoling Zhang, Xiaogang Deng, Sheng Chen
Multiway kernel independent component analysis based on feature samples for batch process monitoring. Neurocomputing 72 (7-9) (2009)