Xuefeng Yan

Xuefeng Yan, Tianqi Liu, Cen Shenzhi, 2018, 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom).

Probabilistic monitoring of chemical processes using adaptively weighted factor analysis and its application

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2014 .

Monitoring of quality-relevant and quality-irrelevant blocks with characteristic-similar variables based on self-organizing map and kernel approaches

Xuefeng Yan, Shifu Yan, Junping Huang, 2019, Journal of Process Control.

Self-stabilizing flocking of a group of mobile robots with memory corruption

Naixue Xiong, Yi Pan, Athanasios V. Vasilakos, 2011, Wirel. Commun. Mob. Comput..

A Fuzzy-based Adaptive Genetic Algorithm and Its Case Study in Chemical Engineering

Xuefeng Yan, Chuanxin Yang, 2011 .

Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2019, IEEE Transactions on Automation Science and Engineering.

Transforming input variables for RBFN based on PCA-ASH multivariate correlation analysis and its application

Chao Chen, Xuefeng Yan, Xue-feng Yan, 2013, Neural Computing and Applications.

Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization

Xuefeng Yan, Qinqin Fan, Xue-feng Yan, 2014, Soft Computing.

A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique

Xuefeng Yan, Changming Zhu, Qinqin Fan, 2019, IEEE Transactions on Cybernetics.

Dynamic Trilateral Game Model for Attack Graph Security Game

Xuefeng Yan, Chenao Hu, 2020 .

Quality-relevant dynamic process monitoring based on dynamic total slow feature regression model

Haiyong Zheng, Xuefeng Yan, Qingchao Jiang, 2020, Measurement Science and Technology.

Elman Neural Networks with Sensitivity Pruning for Modeling Fed-Batch Fermentation Processes

Xuefeng Yan, Chunjuan Ni, Xue-feng Yan, 2015 .

Chemical processes monitoring based on weighted principal component analysis and its application

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2012 .

Local–Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data

Hui Cheng, Xuefeng Yan, Qingchao Jiang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring

Xuefeng Yan, Junping Huang, Xue-feng Yan, 2019, IEEE Transactions on Control Systems Technology.

Multivariate Statistical Process Monitoring Using Modified Factor Analysis and Its Application

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2012 .

Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies

Xuefeng Yan, Qinqin Fan, Xue-feng Yan, 2016, IEEE Transactions on Cybernetics.

Multi-subspace factor analysis integrated with support vector data description for multimode process monitoring

Zhichao Li, Xuefeng Yan, Bei Wang, 2018, J. Frankl. Inst..

A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant

Zhichao Li, Neil D. Lawrence, Zhenwen Dai, 2019, Appl. Soft Comput..

Neural network modeling relationship between inputs and state mapping plane obtained by FDA-t-SNE for visual industrial process monitoring

Xuefeng Yan, Jia-Wei Tang, Xue-feng Yan, 2017, Appl. Soft Comput..

High-performance differential evolution algorithm guided by information from individuals with potential

Zhichao Li, Xuefeng Yan, Li Tian, 2020, Appl. Soft Comput..

Mutual Information–Dynamic Stacked Sparse Autoencoders for Fault Detection

Xuefeng Yan, Jie Yin, Xue-feng Yan, 2019, Industrial & Engineering Chemistry Research.

Design teacher and supervised dual stacked auto-encoders for quality-relevant fault detection in industrial process

Xuefeng Yan, Shifu Yan, Xue-feng Yan, 2019, Appl. Soft Comput..

Selection and transformation of input variables for RVM based on MI–PCA–MI and 4‐CBA concentration model

Chao Chen, Xuefeng Yan, Xue-feng Yan, 2013 .

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

Biao Huang, Xuefeng Yan, Qingchao Jiang, 2016, IEEE Transactions on Industrial Electronics.

Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis

Yang Wang, Xuefeng Yan, Qingchao Jiang, 2017, IEEE Transactions on Industrial Electronics.

Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA

Xuefeng Yan, Furong Gao, Qingchao Jiang, 2019, IEEE Transactions on Control Systems Technology.

Corrigendum to "Chaos-genetic algorithms for optimizing the operation conditions based on RBF-PLS model" [Comput. Chem. Eng. 27(2003) 1393-1404]

Xuefeng Yan, Dezhao Chen, Shangxu Hu, 2004, Comput. Chem. Eng..

Fault detection and identification using a Kullback-Leibler divergence based multi-block principal component analysis and bayesian inference

Xuefeng Yan, Bei Wang, Qingchao Jiang, 2014, Korean Journal of Chemical Engineering.

Modeling Large-Scale Industrial Processes by Multiple Deep Belief Networks With Lower-Pressure and Higher-Precision for Status Monitoring

Xuefeng Yan, Jianbo Yu, 2020, IEEE Access.

Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis

Xuefeng Yan, Yuri A. W. Shardt, Jian Huang, 2020, IEEE Access.

Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization

Xuefeng Yan, Yang Wang, Qingchao Jiang, 2018, IEEE Access.

Dynamic CCA-Based Distributed Monitoring for Multiunit Non-Gaussian Processes

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2018 .

Dynamic process fault detection and diagnosis based on dynamic principal component analysis, dynamic independent component analysis and Bayesian inference

Jian Huang, Xuefeng Yan, Xue-feng Yan, 2015 .

Balanced multiple weighted linear discriminant analysis and its application to visual process monitoring

Xuefeng Yan, Weipeng Lu, Xue-feng Yan, 2020 .

Adaptive Centre-Weighted Oversampling for Class Imbalance in Software Defect Prediction

Yong Zhou, Xuefeng Yan, Qi Zha, 2018, 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom).

Modified Radial Basis Function Neural Network Integrated with Multiple Regression Analysis and its Application in the Chemical Industry Processes

Yang Wang, Chao Chen, Xuefeng Yan, 2013, Intell. Autom. Soft Comput..

Qualitative and Quantitative Integrated Modeling for Stochastic Simulation and Optimization

Yong Zhou, Yan Wen, Xuefeng Yan, 2013, J. Appl. Math..

Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2015 .

Zoning search using a hyper-heuristic algorithm

Ning Li, Xuefeng Yan, Qinqin Fan, 2019, Science China Information Sciences.

Industrial process deep feature representation by regularization strategy autoencoders for process monitoring

Xuefeng Yan, Diehao Kong, Xue-feng Yan, 2019, Measurement Science and Technology.

Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2014 .

Hidden Markov Model for Floating Car Trajectory Map Matching

Xuefeng Yan, Chengbo Song, 2017, CSA/CUTE.

Fault detection in dynamic plant-wide process by multi-block slow feature analysis and support vector data description.

Jian Huang, Xuefeng Yan, Okan K Ersoy, 2019, ISA transactions.

A hybrid differential evolution algorithm integrated with an ant system and its application

Xuefeng Yan, Chunping Hu, Xue-feng Yan, 2011, Comput. Math. Appl..

Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring

Xuefeng Yan, Bei Wang, Qingchao Jiang, 2016, Comput. Ind. Eng..

Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application

Xuefeng Yan, Furong Gao, Qingchao Jiang, 2019, IEEE Transactions on Industrial Electronics.

Non-Gaussian chemical process monitoring with adaptively weighted independent component analysis and its applications

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2013 .

Uncertainty Evolutionary Game Based on Sequence of Interval Numbers

Yong Zhou, Xuefeng Yan, Yue Xu, 2020 .

Adaptive variable space differential evolution algorithm based on population distribution

Jun Zhu, Xuefeng Yan, 2013, Memetic Comput..

Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development

Arif Ali Khan, Xuefeng Yan, Shahid Hussain, 2019, Appl. Soft Comput..

Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network

Xuefeng Yan, Jianbo Yu, Xue-feng Yan, 2019, IEEE Transactions on Cybernetics.

Differential evolution algorithm directed by individual difference information between generations and current individual information

Li Tian, Xuefeng Yan, Zhichao Li, 2018, Applied Intelligence.

Deep fisher autoencoder combined with self-organizing map for visual industrial process monitoring

Xuefeng Yan, Wei-Peng Lu, Xue-feng Yan, 2020 .

Generalized Dice's coefficient‐based multi‐block principal component analysis with Bayesian inference for plant‐wide process monitoring

Xuefeng Yan, Bei Wang, Qingchao Jiang, 2015 .

Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression

Chao Chen, Xuefeng Yan, Xue-feng Yan, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring

Steven X. Ding, Xuefeng Yan, Qingchao Jiang, 2016, IEEE Transactions on Industrial Electronics.

一种基于动态图编码的软件水印方案 (Software Watermarking Scheme Based on Dynamic Graph Coding)

Xuefeng Yan, Jiayi Liu, 2017, 计算机科学.

Mutual Information-Weighted Principle Components Identified From the Depth Features of Stacked Autoencoders and Original Variables for Oil Dry Point Soft Sensor

Jie Wang, Xuefeng Yan, 2019, IEEE Access.

Batch process monitoring based on self-adaptive subspace support vector data description

Xuefeng Yan, Qingchao Jiang, Zhaomin Lv, 2017 .

Chemical process dynamic optimization based on the differential evolution algorithm with an adaptive scheduling mutation strategy

Jun Zhu, Xuefeng Yan, Weixiang Zhao, 2013 .

Deep model based on mode elimination and Fisher criterion combined with self-organizing map for visual multimodal chemical process monitoring

Xuefeng Yan, Weipeng Lu, Xue-feng Yan, 2021, Inf. Sci..

Solving Multimodal Multiobjective Problems Through Zoning Search

Xuefeng Yan, Qinqin Fan, Xue-feng Yan, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes

Manabu Kano, Xuefeng Yan, Shutian Chen, 2021 .

Sparse modeling and monitoring for industrial processes using sparse, distributed principal component analysis

Xuefeng Yan, Yuri A.W. Shardt, Yuri A. W. Shardt, 2021 .

GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection pdf

Xuefeng Yan, Mingqiang Wei, Chengyu Zheng, 2021, ArXiv.

A New Deep Model Based on the Stacked Autoencoder with Intensified Iterative Learning Style for Industrial Fault Detection

Xuefeng Yan, Jianbo Yu, Xue-feng Yan, 2021 .

Deep unLSTM network: Features with memory information extracted from unlabeled data and their application on industrial unsupervised industrial fault detection

Xuefeng Yan, Jianbo Yu, Xue-feng Yan, 2021, Appl. Soft Comput..

Stacked sparse autoencoders monitoring model based on fault-related variable selection

Xuefeng Yan, Jie Yin, Xue-feng Yan, 2021, Soft Computing.

Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application

Xuefeng Yan, Qingchao Jiang, Huaikuan Yi, 2021, IEEE Transactions on Industrial Informatics.

Nonlinear quality-relevant process monitoring based on maximizing correlation neural network

Xuefeng Yan, Shifu Yan, Xue-feng Yan, 2021, Neural Computing and Applications.

Visualizing high-dimensional industrial process based on deep reinforced discriminant features and a stacked supervised t-distributed stochastic neighbor embedding network

Xuefeng Yan, Weipeng Lu, 2021, Expert Syst. Appl..

Visual high dimensional industrial process monitoring based on deep discriminant features and t-SNE

Xuefeng Yan, Weipeng Lu, Xue-feng Yan, 2021, Multidimensional Systems and Signal Processing.

Stacked sparse autoencoders that preserve the local and global feature structures for fault detection

Xuefeng Yan, Jie Yin, Xue-feng Yan, 2021, Trans. Inst. Meas. Control.

Development of a kinetic model for industrial oxidation of p‐xylene by RBF‐PLS and CCA

Feng Qian, Wenli Du, Xuefeng Yan, 2004 .

Modified minimum covariance determinant estimator and its application to outlier detection of chemical process data

Xuefeng Yan, Chao Chen, Xue-feng Yan, 2011 .

A novel adaptive differential evolution algorithm with application to estimate kinetic parameters of oxidation in supercritical water

Xuefeng Yan, Chunping Hu, 2009 .

Robust chemical process monitoring based on CDC‐MVT‐PCA eliminating outliers and optimally selecting principal component

Xuefeng Yan, Shifu Yan, Xue-feng Yan, 2019, The Canadian Journal of Chemical Engineering.

Process monitoring based on entropy weight for a subspace containing probabilistic principal components and fault‐relevant noise factors

Xuefeng Yan, Xue-feng Yan, Jian Huang, 2017 .

Joint Probability Density and Double-Weighted Independent Component Analysis for Multimode Non-Gaussian Process Monitoring

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2014 .

A new kernel function of support vector regression combined with probability distribution and its application in chemometrics and the QSAR modeling

Xuefeng Yan, Xue-feng Yan, Sujie Xue, 2017 .

Xuefeng Yan, Xue-feng Yan, Jian Huang, 2016 .

Power series kinetic model based on generalized stoichiometric equations for microbial production of sodium gluconate

Xuefeng Yan, Yingping Zhuang, Wang Xinchao, 2016 .

Hierarchical Support Vector Data Description for Batch Process Monitoring

Xuefeng Yan, Zhaomin Lv, Xue-feng Yan, 2016 .

Double-Weighted Independent Component Analysis for Non-Gaussian Chemical Process Monitoring

Xuefeng Yan, Chudong Tong, Qingchao Jiang, 2013 .

Self-adaptive particle swarm optimization with multiple velocity strategies and its application for p-Xylene oxidation reaction process optimization

Xuefeng Yan, Qinqin Fan, Xue-feng Yan, 2014 .

A self-adaptive differential evolution algorithm based on ant system with application to estimate kinetic parameters

Xuefeng Yan, Xue-feng Yan, Chunping Hu, 2012 .

Double‐step block division plant‐wide fault detection and diagnosis based on variable distributions and relevant features

Xuefeng Yan, Xue-feng Yan, Jian Huang, 2015 .

Locally Weighted Canonical Correlation Analysis for Nonlinear Process Monitoring

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2018, Industrial & Engineering Chemistry Research.

A comparative study of hybrid models combining various kinetic and regression models for p-xylene oxidation

Xuefeng Yan, Yaming Dong, Xue-feng Yan, 2014, Korean Journal of Chemical Engineering.

Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares

Furong Gao, Xuefeng Yan, Qingchao Jiang, 2020, IEEE Transactions on Industrial Electronics.

Gaussian and non-Gaussian Double Subspace Statistical Process Monitoring Based on Principal Component Analysis and Independent Component Analysis

Xuefeng Yan, Xue-feng Yan, Jian Huang, 2015 .

Probabilistic Weighted NPE-SVDD for chemical process monitoring

Xuefeng Yan, Qingchao Jiang, Xue-feng Yan, 2014 .

Data mining macrokinetic approach based on ANN and its application to model industrial oxidation of p-xylene to terephthalic acid

Xuefeng Yan, Xue-feng Yan, 2007 .

Multivariate Outlier Detection Approach Based on k-Nearest Neighbors and Its Application for Chemical Process Data

Xuefeng Yan, Yaming Dong, Xue-feng Yan, 2014 .

Joint-individual monitoring of large-scale chemical processes with multiple interconnected operation units incorporating multiset CCA

Yang Wang, Xuefeng Yan, Qingchao Jiang, 2017 .

Optimization of the p-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm

Xuefeng Yan, Xue-feng Yan, Zhanqin Guo, 2017 .

Hybrid Model of Industrial p-Xylene Oxidation Incorporated Fractional Kinetic Model with Intelligent Models

Xuefeng Yan, Yaming Dong, Xue-feng Yan, 2013 .

PCA-ICA Integrated with Bayesian Method for Non-Gaussian Fault Diagnosis

Xuefeng Yan, Qingchao Jiang, Juan Li, 2016 .