Xuefeng Yan
Orcid: 0000-0001-6030-0855
According to our database1,
Xuefeng Yan
authored at least 165 papers
between 2001 and 2024.
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Bibliography
2024
Expert Syst. Appl., March, 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
IEEE Trans. Image Process., 2024
IEEE Trans. Instrum. Meas., 2024
3D real-time dynamic path planning for UAV based on improved interfered fluid dynamical system and artificial neural network.
Adv. Eng. Informatics, 2024
2023
A spatial pyramid pooling-based deep reinforcement learning model for dynamic job-shop scheduling problem.
Comput. Oper. Res., December, 2023
USCFormer: Unified Transformer With Semantically Contrastive Learning for Image Dehazing.
IEEE Trans. Intell. Transp. Syst., October, 2023
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset.
IEEE Trans. Intell. Transp. Syst., October, 2023
Modeling and simulation of rumor propagation based on multiple contact mechanism and incentive effect.
J. Appl. Math. Comput., October, 2023
A multi-objective optimization based deep feature multi-subspace partitioning method for process monitoring.
Expert Syst. Appl., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Dynamic analysis of rumor propagation model with media report and time delay on social networks.
J. Appl. Math. Comput., June, 2023
Dynamic modeling and simulation of rumor propagation based on the double refutation mechanism.
Inf. Sci., June, 2023
Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Three-dimensional UCAV path planning using a novel modified artificial ecosystem optimizer.
Expert Syst. Appl., May, 2023
Vis. Comput., 2023
Simulating hybrid SysML models: a model transformation approach under the DEVS framework.
J. Supercomput., 2023
Mechanical Performance Study of Pipe-Liner Composite Structure Based on the Digital Image Correlation Method.
IEEE Trans. Instrum. Meas., 2023
Interval-Valued-Based Stacked Attention Autoencoder Model for Process Monitoring and Fault Diagnosis of Nonlinear Uncertain Systems.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
Soft Comput., 2023
Three-dimensional collaborative path planning for multiple UCAVs based on improved artificial ecosystem optimizer and reinforcement learning.
Knowl. Based Syst., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
IEEE Access, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
2022
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning.
Comput. Graph. Forum, October, 2022
Comput. Graph. Forum, October, 2022
Comput. Graph. Forum, October, 2022
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration.
Comput. Graph. Forum, October, 2022
Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing.
IEEE Trans. Neural Networks Learn. Syst., 2022
Dynamic opposite learning enhanced artificial ecosystem optimizer for IIR system identification.
J. Supercomput., 2022
Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN.
IEEE Trans. Intell. Transp. Syst., 2022
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection.
IEEE Trans. Image Process., 2022
Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset.
IEEE Trans. Geosci. Remote. Sens., 2022
Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes.
IEEE Trans Autom. Sci. Eng., 2022
L∞ Metric based Multi-Objective Differential Evolution Algorithm and its Industrial Application.
J. Inf. Sci. Eng., 2022
Dynamic nonlinear process monitoring based on dynamic correlation variable selection and kernel principal component regression.
J. Frankl. Inst., 2022
Data-feature-driven nonlinear process monitoring based on joint deep learning models with dual-scale.
Inf. Sci., 2022
An adaptive neighborhood-based search enhanced artificial ecosystem optimizer for UCAV path planning.
Expert Syst. Appl., 2022
An ensemble framework based on multivariate statistical analysis for process monitoring.
Expert Syst. Appl., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
A novel deep quality-supervised regularized autoencoder model for quality-relevant fault detection.
Sci. China Inf. Sci., 2022
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection.
Comput. Graph. Forum, 2022
Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description.
Appl. Soft Comput., 2022
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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
Research on GPU parallel algorithm for direct numerical solution of two-dimensional compressible flows.
J. Supercomput., 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
Deep model based on mode elimination and Fisher criterion combined with self-organizing map for visual multimodal chemical process monitoring.
Inf. Sci., 2021
Inf. Sci., 2021
Visualizing high-dimensional industrial process based on deep reinforced discriminant features and a stacked supervised t-distributed stochastic neighbor embedding network.
Expert Syst. Appl., 2021
<i>Deep unLSTM network</i>: Features with memory information extracted from unlabeled data and their application on industrial unsupervised industrial fault detection.
Appl. Soft Comput., 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
A multi-objective differential evolutionary algorithm with angle-based objective space division and parameter adaption for solving sodium gluconate production process and benchmark problems.
Swarm Evol. Comput., 2020
Performance-driven ensemble ICA chemical process monitoring based on fault-relevant models.
Soft Comput., 2020
Soft Comput., 2020
Towards Generating Realistic and High Coverage Test Data for Constraint-Based Fault Injection.
Int. J. Softw. Eng. Knowl. Eng., 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
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2020
A Similarity Integration Method based Information Retrieval and Word Embedding in Bug Localization.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020
A Kernel Density Estimation-Based Variation Sampling for Class Imbalance in Defect Prediction.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 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
Knowl. Based Syst., 2019
Real-time monitoring of chemical processes based on variation information of principal component analysis model.
J. Intell. Manuf., 2019
Soft Sensor Modeling Method by Maximizing Output-Related Variable Characteristics Based on a Stacked Autoencoder and Maximal Information Coefficients.
Int. J. Comput. Intell. Syst., 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
Fuzzy AHP based prioritization and taxonomy of software process improvement success factors in global software development.
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
Proceedings of the 19th IEEE International Conference on Software Quality, 2019
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
2018
基于改进深度森林算法的软件缺陷预测 (Software Defect Prediction Based on Improved Deep Forest Algorithm).
计算机科学, 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
Adaptive Centre-Weighted Oversampling for Class Imbalance in Software Defect Prediction.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018
Site-Effect-Based Semi-Synchronous Label Propagation Algorithm for Community Detection.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 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
A Novel Decentralized Process Monitoring Scheme Using a Modified Multiblock PCA Algorithm.
IEEE Trans Autom. Sci. Eng., 2017
基于Boosting的代价敏感软件缺陷预测方法 (Cost-sensitive Software Defect Prediction Method Based on Boosting).
计算机科学, 2017
计算机科学, 2017
Optimizing the echo state network based on mutual information for modeling fed-batch bioprocesses.
Neurocomputing, 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
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 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
一种基于UML类图和活动图的故障树生成方法 (Fault Tree Generation Method Based on UML Class Diagram and Activity Diagram).
计算机科学, 2016
一种基于Prolog的时间约束业务流程验证方法 (Prolog Based Approach to Validate Time Constraints in Business Process).
计算机科学, 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
Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression.
IEEE Trans. Neural Networks Learn. Syst., 2015
Differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization.
Soft Comput., 2015
Optimizing the echo state network with a binary particle swarm optimization algorithm.
Knowl. Based Syst., 2015
Self-adaptive differential evolution algorithm with discrete mutation control parameters.
Expert Syst. Appl., 2015
Appl. Artif. Intell., 2015
Proceedings of the Cloud Computing and Security - First International Conference, 2015
2014
Adaptive dual cluster heads collaborative target tracking in wireless sensor networks.
Int. J. Sens. Networks, 2014
Improved simple deterministically constructed Cycle Reservoir Network with Sensitive Iterative Pruning Algorithm.
Neurocomputing, 2014
2013
Structure and weight optimization of neural network based on CPA-MLR and its application in naphtha dry point soft sensor.
Neural Comput. Appl., 2013
Transforming input variables for RBFN based on PCA-ASH multivariate correlation analysis and its application.
Neural Comput. Appl., 2013
Adaptive variable space differential evolution algorithm based on population distribution.
Memetic Comput., 2013
Qualitative and Quantitative Integrated Modeling for Stochastic Simulation and Optimization.
J. Appl. Math., 2013
Modified Radial Basis Function Neural Network Integrated with Multiple Regression Analysis and its Application in the Chemical Industry Processes.
Intell. Autom. Soft Comput., 2013
Chaotic Differential Evolution Algorithm Based On Competitive Coevolution And Its Application To Dynamic Optimization Of Chemical Processes.
Intell. Autom. Soft Comput., 2013
Global best harmony search algorithm with control parameters co-evolution based on PSO and its application to constrained optimal problems.
Appl. Math. Comput., 2013
Dynamic data driven event reconstruction for traffic simulation using sequential Monte Carlo methods.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013
2012
A Graph Transformation Based Approach for Modeling Component-Level Migration in Mobile Environments.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012
2011
Wirel. Commun. Mob. Comput., 2011
A hybrid differential evolution algorithm integrated with an ant system and its application.
Comput. Math. Appl., 2011
2009
4-CBA Concentration Soft Sensor Based on Modified Back Propagation Algorithm Embedded with Ridge Regression.
Intell. Autom. Soft Comput., 2009
Proceedings of the 2009 Winter Simulation Conference, 2009
Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009
An Automatic Classification based Search of Simulation Grid Resource.
Proceedings of the 2009 International Conference on Grid Computing & Applications, 2009
2008
Modified nonlinear generalized ridge regression and its application to develop naphtha cut point soft sensor.
Comput. Chem. Eng., 2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
2006
A novel select-best and prepotency evolution algorithm and its application to develop industrial oxidation reaction macrokinetic model.
Comput. Chem. Eng., 2006
2004
Corrigendum to "Chaos-genetic algorithms for optimizing the operation conditions based on RBF-PLS model" [Comput. Chem. Eng. 27(2003) 1393-1404]
Comput. Chem. Eng., 2004
2001
SOM Integrated with CCA for the Feature Map and Classification of Complex Chemical Patterns.
Comput. Chem., 2001