Xiaogang Deng - RankMe

75 papers A 1B 1C 2Misc 1Journal 64Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hierarchical adaptive navigation planner for UAVs in 3D complex environments based on deep reinforcement learning. Appl. Soft Comput. Shuyuan Liu, Yu Zhang, Guanxiong Li, Hao Chen, Xiaogang Deng
2026	J	`jnl`	On steady-state solutions of nonlinear shock-capturing schemes. J. Comput. Phys. Zixuan Zhang, Yaming Chen, Xiaogang Deng
2025	J	`jnl`	Autonomous navigation of UAV in complex environment : a deep reinforcement learning method based on temporal attention. Appl. Intell. Shuyuan Liu, Shufan Zou, Xinghua Chang, Huayong Liu, Laiping Zhang, Xiaogang Deng
2025	J	`jnl`	Enhanced anomaly detection of industrial control systems via graph-driven spatio-temporal adversarial deep support vector data description. Expert Syst. Appl. Jiayan Li, Xiaogang Deng, Bohan Yao
2025	J	`jnl`	GPUDirectIO: Streamline the CFD I/O Path From NVMe to GPU for High-Performance Simulations. IEEE Trans. Parallel Distributed Syst. Zhixiang Ling, Xinghua Chang, Yunde Su, Laiping Zhang, Yuntao Wang, Xiaogang Deng
2025	J	`jnl`	Learning to solve PDEs with finite volume-informed neural networks in a data-free approach. J. Comput. Phys. Tianyu Li, Yiye Zou, Shufan Zou, Xinghua Chang, Laiping Zhang, Xiaogang Deng
2025	J	`jnl`	Multiscale Feature Convolutional Neural Network for Particle Image Velocimetry. IEEE Trans. Instrum. Meas. Shusheng Gu, Jingyu Wang, Guanxiong Li, Xiaogang Deng
2025	J	`jnl`	Spatio-Temporal Regularized Stochastic Configuration Network for Supervised and Semi-Supervised Soft Sensor Development. IEEE Trans Autom. Sci. Eng. Yue Zhao, Xiaogang Deng, Jing Zhang, Ping Wang
2025	J	`jnl`	Unsupervised learning with physics informed graph networks for partial differential equations. Appl. Intell. Lin Lu, Yiye Zou, Jingyu Wang, Shufan Zou, Laiping Zhang, Xiaogang Deng
2025	J	`jnl`	WCNS3-MR-NN: A machine learning-based shock-capturing scheme with accuracy-preserving and high-resolution properties. J. Comput. Phys. Songzheng Fan, Jiaxian Qin, Yidao Dong, Yi Jiang, Xiaogang Deng
2025	J	`jnl`	Zero-shot learning augmented slow feature analysis for semantic-aware industrial process fault detection. Eng. Appl. Artif. Intell. Wenjie Yang, Xiaogang Deng, Lumeng Huang, Yuping Cao
2024	J	`jnl`	A Finite Difference Informed Graph Network for Solving Steady-State Incompressible Flows on Block-Structured Grids. CoRR Yiye Zou, Tianyu Li, Shufan Zou, Jingyu Wang, Laiping Zhang, Xiaogang Deng
2024	—	`conf`	A Weak Fire Detection Method Based on YOLOv5 and PCA. ASCC Liangwei Lyu, Yuping Cao, Xiaogang Deng, Ping Wang
2024	J	`jnl`	A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression. Inf. Sci. Xiaogang Deng, Yue Zhao, Jing Zhang, Xuejing Li, Ziheng Wang
2024	J	`jnl`	A multi-order candidates weighting framework for discontinuity capturing of hyperbolic conservation laws. J. Comput. Phys. Yankai Ma, Meiliang Mao, Zhen-Guo Yan, Jinwei Bai, Huajun Zhu, Xiaogang Deng
2024	J	`jnl`	A semi-supervised framework for computational fluid dynamics prediction. Appl. Soft Comput. Xiao Wang, Yidao Dong, Shufan Zou, Laiping Zhang, Xiaogang Deng
2024	J	`jnl`	A viscous-term subcell limiting approach for high-order FR/CPR method in solving compressible Navier-Stokes equations on curvilinear grids. J. Comput. Phys. Huajun Zhu, Zhen-Guo Yan, Huayong Liu, Meiliang Mao, Xiaogang Deng
2024	J	`jnl`	Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. XiangRui Zhang, Chunyue Song, Jun Zhao, Zuhua Xu, Xiaogang Deng
2024	J	`jnl`	Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems. Eng. Appl. Artif. Intell. Xiaogang Deng, Jiayan Li
2024	J	`jnl`	Nonlinear predictable feature learning with explanatory reasoning for complicated industrial system fault diagnosis. Knowl. Based Syst. Xuepeng Zhang, Xiaogang Deng, Yuping Cao, Linbo Xiao
2024	J	`jnl`	Sag-flownet: self-attention generative network for airfoil flow field prediction. Soft Comput. Xiao Wang, Yi Jiang, Guanxiong Li, Laiping Zhang, Xiaogang Deng
2024	J	`jnl`	Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning. IEEE Trans. Ind. Informatics XiangRui Zhang, Chunyue Song, Jun Zhao, Zuhua Xu, Xiaogang Deng
2024	J	`jnl`	Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss. CoRR Xin Feng, Yi Jiang, Jiaxian Qin, Laiping Zhang, Xiaogang Deng
2023	J	`jnl`	A Deep Supervised Learning Framework Based on Kernel Partial Least Squares for Industrial Soft Sensing. IEEE Trans. Ind. Informatics Yongxuan Chen, Xiaogang Deng
2023	J	`jnl`	ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation. IEEE Trans. Ind. Informatics Zhe Li, Honglong Chen, Zhichen Ni, Xiaogang Deng, Baodi Liu, Weifeng Liu
2023	C	`conf`	Chemical process fault detection using modified CVDA with memory mechanism. SAFEPROCESS Wenjie Yang, Xiaogang Deng, Xiaoyue Liu
2023	J	`jnl`	Knowledge Reverse Distillation Based Confidence Calibration for Deep Neural Networks. Neural Process. Lett. Xianhui Jiang, Xiaogang Deng
2023	J	`jnl`	Nonlinear weights for shock capturing schemes with unconditionally optimal high order. J. Comput. Phys. Yaming Chen, Xiaogang Deng
2023	J	`jnl`	On confidence computation and calibration of deep support vector data description. Eng. Appl. Artif. Intell. Xiaogang Deng, Xianhui Jiang
2023	J	`jnl`	One-Dimensional Residual GANomaly Network-Based Deep Feature Extraction Model for Complex Industrial System Fault Detection. IEEE Trans. Instrum. Meas. Xiaogang Deng, Linbo Xiao, Xiaoyue Liu, Xuepeng Zhang
2023	J	`jnl`	Swin-FlowNet: Flow field oriented optimization aided by a CNN and Swin-Transformer based model. J. Comput. Sci. Xiao Wang, Shufan Zou, Yi Jiang, Laiping Zhang, Xiaogang Deng
2023	J	`jnl`	TransCFD: A transformer-based decoder for flow field prediction. Eng. Appl. Artif. Intell. Jundou Jiang, Guanxiong Li, Yi Jiang, Laiping Zhang, Xiaogang Deng
2022	J	`jnl`	AMGNET: multi-scale graph neural networks for flow field prediction. Connect. Sci. Zhishuang Yang, Yidao Dong, Xiaogang Deng, Laiping Zhang
2022	J	`jnl`	Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs. IEEE Trans. Ind. Informatics XiangRui Zhang, Chunyue Song, Jun Zhao, Xiaogang Deng
2021	J	`jnl`	Anomaly detection using improved deep SVDD model with data structure preservation. Pattern Recognit. Lett. Zheng Zhang, Xiaogang Deng
2021	J	`jnl`	On the role of global conservation property for finite difference schemes. J. Comput. Phys. Jiaxian Qin, Yaming Chen, Xiaogang Deng
2021	J	`jnl`	Shock capturing schemes based on nonuniform nonlinear weighted interpolation for conservation laws and their application as subcell limiters for FR/CPR. CoRR Huajun Zhu, Huayong Liu, Zhen-Guo Yan, Guoquan Shi, Xiaogang Deng
2021	—	`conf`	Weighted Wasserstein Distance-based Improved Serial Principal Component Analysis for Incipient Fault Detection of Complex Industrial Process. CAA SAFEPROCESS Jiabing Dai, Xiaogang Deng, Xiaohui Wang
2020	J	`jnl`	A Batch Process Monitoring Method Using Two-Dimensional Localized Dynamic Support Vector Data Description. IEEE Access Xiaohui Wang, Yanjiang Wang, Xiaogang Deng, Yuping Cao
2020	J	`jnl`	Nonlinear Chemical Process Fault Diagnosis Using Ensemble Deep Support Vector Data Description. Sensors Xiaogang Deng, Zheng Zhang
2020	J	`jnl`	Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering. IEEE Access Xiaogang Deng, Yongxuan Chen, Ping Wang, Yuping Cao
2020	J	`jnl`	Variable Sub-Region Canonical Variate Analysis for Dynamic Process Monitoring. IEEE Access Yuping Cao, Lei Yu, Xiaogang Deng, Xiaoling Zhang
2019	J	`jnl`	A Model Predictive Control Performance Monitoring and Grading Strategy Based on Improved Slow Feature Analysis. IEEE Access Linyuan Shang, Yanjiang Wang, Xiaogang Deng, Yuping Cao, Ping Wang, Yuhong Wang
2019	J	`jnl`	Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. IEEE Trans. Control. Syst. Technol. Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
2019	—	`conf`	Incipient Fault Diagnosis of Sucker Rod Pumping System Using Kullback Leibler Divergence Based Improved Kernel Principal Component Analysis. CAA SAFEPROCESS Peipei Cai, Xiaogang Deng, Yuping Cao
2019	—	`conf`	Industrial Process Fault Classification Based on Weighted Stacked Extreme Learning Machine. CAA SAFEPROCESS Kai Gao, Xiaogang Deng, Yuping Cao
2019	J	`jnl`	Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine. IEEE Access Hanyuan Zhang, Xiaogang Deng, Yunchu Zhang, Chuanjing Hou, Chengdong Li, Zheng Xin
2019	J	`jnl`	Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes. IEEE Access Xiaogang Deng, Peipei Cai, Jiawei Deng, Yuping Cao, Zhihuan Song
2019	J	`jnl`	State-of-Health Prediction For Lithium-Ion Batteries With Multiple Gaussian Process Regression Model. IEEE Access Xueying Zheng, Xiaogang Deng
2019	J	`jnl`	UAV first view landmark localization with active reinforcement learning. Pattern Recognit. Lett. Xinran Wang, Chao Li, Leijian Yu, Lirong Han, Xiaogang Deng, Erfu Yang, Peng Ren
2018	J	`jnl`	A novel strategy for deriving high-order stable boundary closures based on global conservation, I: Basic formulas. J. Comput. Phys. Xiaogang Deng, Yaming Chen
2018	J	`jnl`	Developing a parallel density-based implicit solver with mesh deformation in OpenFOAM. J. Comput. Sci. Xiang Gao, Chuanfu Xu, Yidao Dong, Min Xiong, Dali Li, Zhenghua Wang, Xiaogang Deng
2018	J	`jnl`	Improved grid partitioning algorithms for load-balancing high-order structured aerodynamics simulations. Comput. Electr. Eng. Min Xiong, Chuanfu Xu, Xiang Gao, Dali Li, Dandan Qu, Zhenghua Wang, Xiaogang Deng
2018	J	`jnl`	Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis. Neurocomputing Hanyuan Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao
2018	J	`jnl`	Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
2018	—	`conf`	UAV First View Landmark Localization via Deep Reinforcement Learning. S+SSPR Xinran Wang, Peng Ren, Leijian Yu, Lirong Han, Xiaogang Deng
2017	J	`jnl`	Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis. IEEE Access Hanyuan Zhang, Xuemin Tian, Xiaogang Deng
2017	B	`conf`	Deep learning based nonlinear principal component analysis for industrial process fault detection. IJCNN Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
2017	J	`jnl`	Nonlinear Multimode Industrial Process Fault Detection Using Modified Kernel Principal Component Analysis. IEEE Access Xiaogang Deng, Na Zhong, Lei Wang
2017	J	`jnl`	Performance modeling and optimization of parallel LU-SGS on many-core processors for 3D high-order CFD simulations. J. Supercomput. Dali Li, Chuanfu Xu, Bin Cheng, Min Xiong, Xiang Gao, Xiaogang Deng
2017	J	`jnl`	Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method. IEEE Access Yuping Cao, Yongping Hu, Xiaogang Deng, Xuemin Tian
2016	J	`jnl`	Fault detection of multimode non-Gaussian dynamic process using dynamic Bayesian independent component analysis. Neurocomputing Ying Xu, Xiaogang Deng
2016	J	`jnl`	Parallelizing and optimizing large-scale 3D multi-phase flow simulations on the Tianhe-2 supercomputer. Concurr. Comput. Pract. Exp. Dali Li, Chuanfu Xu, Yongxian Wang, Zhifang Song, Min Xiong, Xiang Gao, Xiaogang Deng
2015	J	`jnl`	Process fault detection based on dynamic kernel slow feature analysis. Comput. Electr. Eng. Ni Zhang, Xuemin Tian, Lianfang Cai, Xiaogang Deng
2014	A	`conf`	Balancing CPU-GPU Collaborative High-Order CFD Simulations on the Tianhe-1A Supercomputer. IPDPS Chuanfu Xu, Lilun Zhang, Xiaogang Deng, Jianbin Fang, Guangxue Wang, Wei Cao, Yonggang Che, Yongxian Wang, Wei Liu
2014	J	`jnl`	Collaborating CPU and GPU for large-scale high-order CFD simulations with complex grids on the TianHe-1A supercomputer. J. Comput. Phys. Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Jianbin Fang, Guangxue Wang, Yi Jiang, Wei Cao, Yonggang Che, Yongxian Wang, Zhenghua Wang, Wei Liu, Xinghua Cheng
2013	J	`jnl`	Further studies on Geometric Conservation Law and applications to high-order finite difference schemes with stationary grids. J. Comput. Phys. Xiaogang Deng, Yaobing Min, Meiliang Mao, Huayong Liu, Guohua Tu, Hanxin Zhang
2013	J	`jnl`	Nonlinear process fault pattern recognition using statistics kernel PCA similarity factor. Neurocomputing Xiaogang Deng, Xuemin Tian
2013	C	`conf`	Parallelizing a High-Order CFD Software for 3D, Multi-block, Structural Grids on the TianHe-1A Supercomputer. ISC Chuanfu Xu, Xiaogang Deng, Lilun Zhang, Yi Jiang, Wei Cao, Jianbin Fang, Yonggang Che, Yongxian Wang, Wei Liu
2012	J	`jnl`	A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems. J. Comput. Phys. Laiping Zhang, Liu Wei, Lixin He, Xiaogang Deng, Hanxin Zhang
2012	J	`jnl`	A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases. J. Comput. Phys. Laiping Zhang, Liu Wei, Lixin He, Xiaogang Deng, Hanxin Zhang
2011	J	`jnl`	Geometric conservation law and applications to high-order finite difference schemes with stationary grids. J. Comput. Phys. Xiaogang Deng, Meiliang Mao, Guohua Tu, Huayong Liu, Hanxin Zhang
2011	—	`conf`	The Matching for the Multi-project Collaborative Plan of New Product Development and Resource based on Generalized Resource Unit. ICEIS (2) Xiaogang Deng, Gang Guo
2010	Misc	`conf`	Seismic denoising based on modified BP neural network. ICNC Yinxue Zhang, Xuemin Tian, Xiaogang Deng, Yuping Cao
2009	J	`jnl`	Multiway kernel independent component analysis based on feature samples for batch process monitoring. Neurocomputing Xuemin Tian, Xiaoling Zhang, Xiaogang Deng, Sheng Chen