Multiway kernel independent component analysis based on feature samples for batch process monitoring. - Xuemin Tian; Xiaoling Zhang; Xiaogang Deng; Sheng Chen 001 (Neurocomputing, 2009)

Seismic denoising based on modified BP neural network. - Yinxue Zhang; Xuemin Tian; Xiaogang Deng; Yuping Cao (ICNC, 2010)

The Matching for the Multi-project Collaborative Plan of New Product Development and Resource based on Generalized Resource Unit. - Xiaogang Deng; Gang Guo (ICEIS (2), 2011)

Geometric conservation law and applications to high-order finite difference schemes with stationary grids. - Xiaogang Deng; Meiliang Mao; Guohua Tu; Huayong Liu; Hanxin Zhang (J. Comput. Phys., 2011)

A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems. - Laiping Zhang; Liu Wei; Lixin He; Xiaogang Deng; Hanxin Zhang (J. Comput. Phys., 2012)

A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases. - Laiping Zhang; Liu Wei; Lixin He; Xiaogang Deng; Hanxin Zhang (J. Comput. Phys., 2012)

Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer. - Chuanfu Xu; Xiaogang Deng; Lilun Zhang; Yi Jiang; Wei Cao; Jianbin Fang; Yonggang Che; Yongxian Wang; Wei Liu 013 (ISC, 2013)

Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor. - Xiaogang Deng; Xuemin Tian (Neurocomputing, 2013)

Further studies on Geometric Conservation Law and applications to high-order finite difference schemes with stationary grids. - Xiaogang Deng; Yaobing Min; Meiliang Mao; Huayong Liu; Guohua Tu; Hanxin Zhang (J. Comput. Phys., 2013)

Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer. - Chuanfu Xu; Lilun Zhang; Xiaogang Deng; Jianbin Fang; Guangxue Wang; Wei Cao; Yonggang Che; Yongxian Wang; Wei Liu 013 (IPDPS, 2014)

Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer. - Chuanfu Xu; Xiaogang Deng; Lilun Zhang; Jianbin Fang; Guangxue Wang; Yi Jiang; Wei Cao; Yonggang Che; Yongxian Wang; Zhenghua Wang; Wei Liu 013; Xinghua Cheng (J. Comput. Phys., 2014)

Process fault detection based on dynamic kernel slow feature analysis. - Ni Zhang; Xuemin Tian; Lianfang Cai; Xiaogang Deng (Comput. Electr. Eng., 2015)

Parallelizing and optimizing large-scale 3D multi-phase flow simulations on the Tianhe-2 supercomputer. - Dali Li; Chuanfu Xu; Yongxian Wang; Zhifang Song; Min Xiong; Xiang Gao; Xiaogang Deng (Concurr. Comput. Pract. Exp., 2016)

Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis. - Ying Xu; Xiaogang Deng (Neurocomputing, 2016)

Deep learning based nonlinear principal component analysis for industrial process fault detection. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IJCNN, 2017)

Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method. - Yuping Cao; Yongping Hu; Xiaogang Deng; Xuemin Tian (IEEE Access, 2017)

Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis. - Xiaogang Deng; Na Zhong; Lei Wang (IEEE Access, 2017)

Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis. - Hanyuan Zhang; Xuemin Tian; Xiaogang Deng (IEEE Access, 2017)

Performance modeling and optimization of parallel LU-SGS on many-core processors for 3D high-order CFD simulations. - Dali Li; Chuanfu Xu; Bin Cheng; Min Xiong; Xiang Gao; Xiaogang Deng (J. Supercomput., 2017)

UAV First View Landmark Localization via Deep Reinforcement Learning. - Xinran Wang; Peng Ren 001; Leijian Yu; Lirong Han; Xiaogang Deng (S+SSPR, 2018)

Improved grid partitioning algorithms for load-balancing high-order structured aerodynamics simulations. - Min Xiong; Chuanfu Xu; Xiang Gao; Dali Li; Dandan Qu; Zhenghua Wang; Xiaogang Deng (Comput. Electr. Eng., 2018)

Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis. - Hanyuan Zhang; Xuemin Tian; Xiaogang Deng; Yuping Cao (Neurocomputing, 2018)

A novel strategy for deriving high-order stable boundary closures based on global conservation, I: Basic formulas. - Xiaogang Deng; Yaming Chen (J. Comput. Phys., 2018)

Developing a parallel density-based implicit solver with mesh deformation in OpenFOAM. - Xiang Gao; Chuanfu Xu; Yidao Dong; Min Xiong; Dali Li; Zhenghua Wang; Xiaogang Deng (J. Comput. Sci., 2018)

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2018)

Incipient Fault Diagnosis of Sucker Rod Pumping System Using Kullback Leibler Divergence Based Improved Kernel Principal Component Analysis. - Peipei Cai; Xiaogang Deng; Yuping Cao (CAA SAFEPROCESS, 2019)

Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine. - Kai Gao; Xiaogang Deng; Yuping Cao (CAA SAFEPROCESS, 2019)

Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes. - Xiaogang Deng; Peipei Cai; Jiawei Deng; Yuping Cao; Zhihuan Song (IEEE Access, 2019)

A Model Predictive Control Performance Monitoring and Grading Strategy Based on Improved Slow Feature Analysis. - Linyuan Shang; Yanjiang Wang 001; Xiaogang Deng; Yuping Cao; Ping Wang; Yuhong Wang (IEEE Access, 2019)

Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine. - Hanyuan Zhang; Xiaogang Deng; Yunchu Zhang; Chuanjing Hou; Chengdong Li; Zheng Xin (IEEE Access, 2019)

State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model. - Xueying Zheng; Xiaogang Deng (IEEE Access, 2019)

UAV first view landmark localization with active reinforcement learning. - Xinran Wang; Chao Li; Leijian Yu; Lirong Han; Xiaogang Deng; Erfu Yang; Peng Ren 001 (Pattern Recognit. Lett., 2019)

Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. - Xiaogang Deng; Xuemin Tian; Sheng Chen 001; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2019)

Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring. - Yuping Cao; Lei Yu; Xiaogang Deng; Xiaoling Zhang (IEEE Access, 2020)

Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering. - Xiaogang Deng; Yongxuan Chen; Ping Wang 038; Yuping Cao (IEEE Access, 2020)

A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description. - Xiaohui Wang 007; Yanjiang Wang 001; Xiaogang Deng; Yuping Cao (IEEE Access, 2020)

Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description. - Xiaogang Deng; Zheng Zhang (Sensors, 2020)

Weighted Wasserstein Distance-based Improved Serial Principal Component Analysis for Incipient Fault Detection of Complex Industrial Process. - Jiabing Dai; Xiaogang Deng; Xiaohui Wang 007 (CAA SAFEPROCESS, 2021)

Shock capturing schemes based on nonuniform nonlinear weighted interpolation for conservation laws and their application as subcell limiters for FR/CPR. - Huajun Zhu; Huayong Liu; Zhen-Guo Yan; Guoquan Shi; Xiaogang Deng (CoRR, 2021)

On the role of global conservation property for finite difference schemes. - Jiaxian Qin; Yaming Chen; Xiaogang Deng (J. Comput. Phys., 2021)

Anomaly detection using improved deep SVDD model with data structure preservation. - Zheng Zhang; Xiaogang Deng (Pattern Recognit. Lett., 2021)

AMGNET: multi-scale graph neural networks for flow field prediction. - Zhishuang Yang; Yidao Dong; Xiaogang Deng; Laiping Zhang (Connect. Sci., 2022)

Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Xiaogang Deng (IEEE Trans. Ind. Informatics, 2022)

Chemical process fault detection using modified CVDA with memory mechanism. - Wenjie Yang; Xiaogang Deng; Xiaoyue Liu (SAFEPROCESS, 2023)

On confidence computation and calibration of deep support vector data description. - Xiaogang Deng; Xianhui Jiang (Eng. Appl. Artif. Intell., 2023)

TransCFD: A transformer-based decoder for flow field prediction. - Jundou Jiang; Guanxiong Li; Yi Jiang; Laiping Zhang; Xiaogang Deng (Eng. Appl. Artif. Intell., 2023)

ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. - Zhe Li 026; Honglong Chen; Zhichen Ni; Xiaogang Deng; Baodi Liu; Weifeng Liu 001 (IEEE Trans. Ind. Informatics, 2023)

One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection. - Xiaogang Deng; Linbo Xiao; Xiaoyue Liu; Xuepeng Zhang (IEEE Trans. Instrum. Meas., 2023)

Knowledge Reverse Distillation Based Confidence Calibration for Deep Neural Networks. - Xianhui Jiang; Xiaogang Deng (Neural Process. Lett., 2023)

A Deep Supervised Learning Framework Based on Kernel Partial Least Squares for Industrial Soft Sensing. - Yongxuan Chen; Xiaogang Deng (IEEE Trans. Ind. Informatics, 2023)

Nonlinear weights for shock capturing schemes with unconditionally optimal high order. - Yaming Chen; Xiaogang Deng (J. Comput. Phys., 2023)

Swin-FlowNet: Flow field oriented optimization aided by a CNN and Swin-Transformer based model. - Xiao Wang; Shufan Zou; Yi Jiang; Laiping Zhang; Xiaogang Deng (J. Comput. Sci., 2023)

A Weak Fire Detection Method Based on YOLOv5 and PCA. - Liangwei LYU; Yuping Cao; Xiaogang Deng; Ping Wang (ASCC, 2024)

A semi-supervised framework for computational fluid dynamics prediction. - Xiao Wang; Yidao Dong; Shufan Zou; Laiping Zhang; Xiaogang Deng (Appl. Soft Comput., 2024)

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss. - Xin Feng; Yi Jiang; Jiaxian Qin; Laiping Zhang; Xiaogang Deng (CoRR, 2024)

A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids. - Yiye Zou; Tianyu Li; Shufan Zou; Jingyu Wang; Laiping Zhang; Xiaogang Deng (CoRR, 2024)

Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems. - Xiaogang Deng; Jiayan Li (Eng. Appl. Artif. Intell., 2024)

A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression. - Xiaogang Deng; Yue Zhao; Jing Zhang; Xuejing Li; Ziheng Wang (Inf. Sci., 2024)

A multi-order candidates weighting framework for discontinuity capturing of hyperbolic conservation laws. - Yankai Ma; Meiliang Mao; Zhen-Guo Yan; Jinwei Bai; Huajun Zhu; Xiaogang Deng (J. Comput. Phys., 2024)

A viscous-term subcell limiting approach for high-order FR/CPR method in solving compressible Navier-Stokes equations on curvilinear grids. - Huajun Zhu; Zhen-Guo Yan; Huayong Liu; Meiliang Mao; Xiaogang Deng (J. Comput. Phys., 2024)

Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis. - Xuepeng Zhang; Xiaogang Deng; Yuping Cao; Linbo Xiao (Knowl. Based Syst., 2024)

Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Zuhua Xu; Xiaogang Deng (IEEE Trans. Ind. Informatics, 2024)

Sag-flownet: self-attention generative network for airfoil flow field prediction. - Xiao Wang; Yi Jiang; Guanxiong Li; Laiping Zhang; Xiaogang Deng (Soft Comput., 2024)

Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Zuhua Xu; Xiaogang Deng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhanced anomaly detection of industrial control systems via graph-driven spatio-temporal adversarial deep support vector data description. - Jiayan Li; Xiaogang Deng; Bohan Yao (Expert Syst. Appl., 2025)

WCNS3-MR-NN: A machine learning-based shock-capturing scheme with accuracy-preserving and high-resolution properties. - Songzheng Fan; Jiaxian Qin; Yidao Dong; Yi Jiang; Xiaogang Deng (J. Comput. Phys., 2025)

Learning to solve PDEs with finite volume-informed neural networks in a data-free approach. - Tianyu Li; Yiye Zou; Shufan Zou; Xinghua Chang; Laiping Zhang; Xiaogang Deng (J. Comput. Phys., 2025)

Spatio-Temporal Regularized Stochastic Configuration Network for Supervised and Semi-Supervised Soft Sensor Development. - Yue Zhao; Xiaogang Deng; Jing Zhang; Ping Wang 038 (IEEE Trans Autom. Sci. Eng., 2025)

Multiscale Feature Convolutional Neural Network for Particle Image Velocimetry. - Shusheng Gu; Jingyu Wang; Guanxiong Li; Xiaogang Deng (IEEE Trans. Instrum. Meas., 2025)

Autonomous navigation of UAV in complex environment : a deep reinforcement learning method based on temporal attention. - Shuyuan Liu; Shufan Zou; Xinghua Chang; Huayong Liu; Laiping Zhang; Xiaogang Deng (Appl. Intell., 2025)

Unsupervised learning with physics informed graph networks for partial differential equations. - Lin Lu; Yiye Zou; Jingyu Wang; Shufan Zou; Laiping Zhang; Xiaogang Deng (Appl. Intell., 2025)