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2020 – today
- 2024
[j50]Xiao Wang, Yidao Dong, Shufan Zou
, Laiping Zhang, Xiaogang Deng:
A semi-supervised framework for computational fluid dynamics prediction. Appl. Soft Comput. 154: 111422 (2024)- [j49]Xiaogang Deng, Jiayan Li:
Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems. Eng. Appl. Artif. Intell. 138: 109357 (2024) - [j48]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: 120132 (2024) - [j47]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: 113064 (2024) - [j46]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: 113240 (2024) - [j45]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: 111404 (2024) - [j44]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): 7417-7437 (2024) - [j43]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): 5634-5646 (2024) - [j42]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): 9226-9237 (2024) - [i3]Xin Feng, Yi Jiang, Jiaxian Qin, Laiping Zhang, Xiaogang Deng:
Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss. CoRR abs/2401.12489 (2024) - [i2]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 abs/2406.10534 (2024) - 2023
- [j41]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): 106340 (2023) - [j40]Xiaogang Deng, Xianhui Jiang:
On confidence computation and calibration of deep support vector data description. Eng. Appl. Artif. Intell. 125: 106646 (2023) - [j39]Yaming Chen, Xiaogang Deng:
Nonlinear weights for shock capturing schemes with unconditionally optimal high order. J. Comput. Phys. 478: 111978 (2023) - [j38]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: 102121 (2023) - [j37]Xianhui Jiang, Xiaogang Deng:
Knowledge Reverse Distillation Based Confidence Calibration for Deep Neural Networks. Neural Process. Lett. 55(1): 345-360 (2023) - [j36]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): 1018-1029 (2023) - [j35]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): 3178-3187 (2023) - [j34]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: 1-13 (2023) - [c10]Wenjie Yang, Xiaogang Deng, Xiaoyue Liu:
Chemical process fault detection using modified CVDA with memory mechanism. SAFEPROCESS 2023: 1-6 - 2022
- [j33]Zhishuang Yang, Yidao Dong, Xiaogang Deng, Laiping Zhang:
AMGNET: multi-scale graph neural networks for flow field prediction. Connect. Sci. 34(1): 2500-2519 (2022) - [j32]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): 4654-4664 (2022) - 2021
- [j31]Jiaxian Qin, Yaming Chen, Xiaogang Deng:
On the role of global conservation property for finite difference schemes. J. Comput. Phys. 440: 110437 (2021) - [j30]Zheng Zhang, Xiaogang Deng:
Anomaly detection using improved deep SVDD model with data structure preservation. Pattern Recognit. Lett. 148: 1-6 (2021) - [c9]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: 1-6 - [i1]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 abs/2107.06471 (2021) - 2020
- [j29]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: 35864-35872 (2020) - [j28]Yuping Cao, Lei Yu, Xiaogang Deng, Xiaoling Zhang:
Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring. IEEE Access 8: 37775-37789 (2020) - [j27]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: 181192-181204 (2020) - [j26]Xiaogang Deng, Zheng Zhang:
Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description. Sensors 20(16): 4599 (2020)
2010 – 2019
- 2019
- [j25]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: 50897-50911 (2019) - [j24]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: 106053-106064 (2019) - [j23]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: 122192-122204 (2019) - [j22]Xueying Zheng, Xiaogang Deng:
State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model. IEEE Access 7: 150383-150394 (2019) - [j21]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: 549-555 (2019) - [j20]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): 2526-2540 (2019) - [c8]Kai Gao, Xiaogang Deng, Yuping Cao:
Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine. CAA SAFEPROCESS 2019: 328-332 - [c7]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: 761-766 - 2018
- [j19]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: 70-84 (2018) - [j18]Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao:
Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis. Neurocomputing 293: 64-86 (2018) - [j17]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: 80-106 (2018) - [j16]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: 59-69 (2018) - [j15]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): 560-572 (2018) - [c6]Xinran Wang, Peng Ren, Leijian Yu, Lirong Han, Xiaogang Deng:
UAV First View Landmark Localization via Deep Reinforcement Learning. S+SSPR 2018: 76-85 - 2017
- [j14]Hanyuan Zhang, Xuemin Tian, Xiaogang Deng:
Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis. IEEE Access 5: 2696-2710 (2017) - [j13]Xiaogang Deng, Na Zhong, Lei Wang:
Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis. IEEE Access 5: 23121-23132 (2017) - [j12]Yuping Cao, Yongping Hu, Xiaogang Deng, Xuemin Tian:
Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method. IEEE Access 5: 23256-23265 (2017) - [j11]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): 2506-2524 (2017) - [c5]Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris:
Deep learning based nonlinear principal component analysis for industrial process fault detection. IJCNN 2017: 1237-1243 - 2016
- [j10]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): 1678-1692 (2016) - [j9]Ying Xu, Xiaogang Deng:
Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis. Neurocomputing 200: 70-79 (2016) - 2015
- [j8]Ni Zhang, Xuemin Tian, Lianfang Cai, Xiaogang Deng:
Process fault detection based on dynamic kernel slow feature analysis. Comput. Electr. Eng. 41: 9-17 (2015) - 2014
- [j7]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: 275-297 (2014) - [c4]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: 725-734 - 2013
- [j6]Xiaogang Deng, Xuemin Tian:
Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor. Neurocomputing 121: 298-308 (2013) - [j5]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: 90-111 (2013) - [c3]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: 26-39 - 2012
- [j4]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): 1081-1103 (2012) - [j3]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): 1104-1120 (2012) - 2011
- [j2]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): 1100-1115 (2011) - [c2]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: 231-234 - 2010
- [c1]Yinxue Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao:
Seismic denoising based on modified BP neural network. ICNC 2010: 1825-1829
2000 – 2009
- 2009
- [j1]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): 1584-1596 (2009)
Coauthor Index
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