Xuefeng Yan
Orcid: 0000-0001-5622-8686Affiliations:
- East China University of Science and Technology, Shanghai, China
According to our database1,
Xuefeng Yan
authored at least 75 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Two-space interaction enhanced particle swarm optimization for tackling high-dimensional problems.
Evol. Syst., June, 2025
A surrogate archive assisted multi-objective evolutionary algorithm under limited computational budget.
Soft Comput., January, 2025
Disentangled Feature Representation Based on Multiscale Content Learning in Industrial Heterogeneous Nonstationary Fault Detection.
IEEE Trans. Instrum. Meas., 2025
VGMTNet: A variational Gaussian mixture label transfer network for industrial fault diagnosis.
Expert Syst. Appl., 2025
Spatial-Temporal relation inference Transformer combined with dynamic relationship and static causality for batch process modeling and the application of erythromycin fermentation.
Eng. Appl. Artif. Intell., 2025
Adaptive temporal diffusion-based reconstruction model for industrial dynamic uncertain process monitoring.
Appl. Soft Comput., 2025
2024
IEEE Trans. Cybern., February, 2024
Fluid catalytic cracking process quality-driven fault detection based on partial least squares and deep feedforward neural network.
Trans. Inst. Meas. Control, January, 2024
A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection.
Appl. Intell., January, 2024
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application.
Knowl. Based Syst., 2024
A data enhancement method based on generative adversarial network for small sample-size with soft sensor application.
Comput. Chem. Eng., 2024
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations.
Adv. Eng. Informatics, 2024
2023
A multi-objective optimization based deep feature multi-subspace partitioning method for process monitoring.
Expert Syst. Appl., September, 2023
Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Interval-Valued-Based Stacked Attention Autoencoder Model for Process Monitoring and Fault Diagnosis of Nonlinear Uncertain Systems.
IEEE Trans. Instrum. Meas., 2023
Soft Comput., 2023
IEEE Access, 2023
2022
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes.
IEEE Trans Autom. Sci. Eng., 2022
Dynamic nonlinear process monitoring based on dynamic correlation variable selection and kernel principal component regression.
J. Frankl. Inst., 2022
Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description.
Appl. Soft Comput., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data.
IEEE Trans. Neural Networks Learn. Syst., 2021
Stacked sparse autoencoders that preserve the local and global feature structures for fault detection.
Trans. Inst. Meas. Control, 2021
Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application.
IEEE Trans. Ind. Informatics, 2021
Deep Double Supervised Embedding Neural Network Enhancing Class Separation for Visual High-Dimensional Industrial Process Monitoring.
IEEE Trans. Ind. Informatics, 2021
A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique.
IEEE Trans. Cybern., 2021
Stacked sparse autoencoders monitoring model based on fault-related variable selection.
Soft Comput., 2021
Nonlinear quality-relevant process monitoring based on maximizing correlation neural network.
Neural Comput. Appl., 2021
Visual high dimensional industrial process monitoring based on deep discriminant features and t-SNE.
Multidimens. Syst. Signal Process., 2021
Inf. Sci., 2021
2020
Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes.
IEEE Trans. Ind. Informatics, 2020
Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring.
IEEE Trans. Ind. Informatics, 2020
Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares.
IEEE Trans. Ind. Electron., 2020
Whole Process Monitoring Based on Unstable Neuron Output Information in Hidden Layers of Deep Belief Network.
IEEE Trans. Cybern., 2020
IEEE Trans. Control. Syst. Technol., 2020
IEEE Trans Autom. Sci. Eng., 2020
Performance-driven ensemble ICA chemical process monitoring based on fault-relevant models.
Soft Comput., 2020
Soft Comput., 2020
Multiscale intelligent fault detection system based on agglomerative hierarchical clustering using stacked denoising autoencoder with temporal information.
Appl. Soft Comput., 2020
High-performance differential evolution algorithm guided by information from individuals with potential.
Appl. Soft Comput., 2020
Modeling Large-Scale Industrial Processes by Multiple Deep Belief Networks With Lower-Pressure and Higher-Precision for Status Monitoring.
IEEE Access, 2020
Potential-Based Differential Evolution Algorithm With Joint Adaptation of Parameters and Strategies.
IEEE Access, 2020
Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis.
IEEE Access, 2020
2019
IEEE Trans. Ind. Informatics, 2019
Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application.
IEEE Trans. Ind. Electron., 2019
Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data.
IEEE Trans. Control. Syst. Technol., 2019
Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA.
IEEE Trans. Control. Syst. Technol., 2019
Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019
Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis.
IEEE Trans Autom. Sci. Eng., 2019
A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation.
Swarm Evol. Comput., 2019
Design teacher and supervised dual stacked auto-encoders for quality-relevant fault detection in industrial process.
Appl. Soft Comput., 2019
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant.
Appl. Soft Comput., 2019
Differential evolution algorithm directed by individual difference information between generations and current individual information.
Appl. Intell., 2019
Differential evolution algorithm with strategy adaptation and knowledge-based control parameters.
Artif. Intell. Rev., 2019
Mutual Information-Weighted Principle Components Identified From the Depth Features of Stacked Autoencoders and Original Variables for Oil Dry Point Soft Sensor.
IEEE Access, 2019
Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring.
IEEE Access, 2019
2018
Multi-objective modified differential evolution algorithm with archive-base mutation for solving multi-objective \(p\) -xylene oxidation process.
J. Intell. Manuf., 2018
Multi-subspace factor analysis integrated with support vector data description for multimode process monitoring.
J. Frankl. Inst., 2018
Enhancing the Performance of JADE Using Two-phase Parameter Control Scheme and Its Application.
Int. J. Autom. Comput., 2018
Auto-selection mechanism of differential evolution algorithm variants and its application.
Eur. J. Oper. Res., 2018
Optimal Variable Transmission for Distributed Local Fault Detection Incorporating RA and Evolutionary Optimization.
IEEE Access, 2018
2017
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis.
IEEE Trans. Ind. Electron., 2017
Quality Relevant and Independent Two Block Monitoring Based on Mutual Information and KPCA.
IEEE Trans. Ind. Electron., 2017
Neural network modeling relationship between inputs and state mapping plane obtained by FDA-t-SNE for visual industrial process monitoring.
Appl. Soft Comput., 2017
Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems.
Appl. Soft Comput., 2017
2016
Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference.
IEEE Trans. Ind. Electron., 2016
Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring.
IEEE Trans. Ind. Electron., 2016
Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies.
IEEE Trans. Cybern., 2016
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis.
Comput. Chem. Eng., 2016
Independent component analysis model utilizing de-mixing information for improved non-Gaussian process monitoring.
Comput. Ind. Eng., 2016
2015
Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization.
Soft Comput., 2015
Self-adaptive differential evolution algorithm with discrete mutation control parameters.
Expert Syst. Appl., 2015