Xiaofeng Yuan

Orcid: 0000-0002-9072-7179

According to our database1, Xiaofeng Yuan authored at least 66 papers between 2006 and 2024.

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Bibliography

2024
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.
IEEE Trans. Ind. Informatics, April, 2024

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework.
IEEE Trans Autom. Sci. Eng., April, 2024

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process.
IEEE Trans. Cybern., February, 2024

Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network.
IEEE Trans. Artif. Intell., January, 2024

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.
IEEE Trans. Instrum. Meas., 2024

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas., 2024

2023
Correction to: H-BLS: a hierarchical broad learning system with deep and sparse feature learning.
Appl. Intell., December, 2023

Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection.
IEEE Trans. Ind. Informatics, July, 2023

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation.
Neural Networks, July, 2023

Domain adaptation for few-sample nonlinear process monitoring with deep networks.
Inf. Sci., June, 2023

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics, 2023

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes.
Eng. Appl. Artif. Intell., 2023

H-BLS: a hierarchical broad learning system with deep and sparse feature learning.
Appl. Intell., 2023

Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods.
IEEE Trans. Neural Networks Learn. Syst., 2022

Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction.
IEEE Trans. Instrum. Meas., 2022

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application.
IEEE Trans. Ind. Informatics, 2022

Row and Column Structure-Based Biclustering for Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Combined angular margin and cosine margin softmax loss for music classification based on spectrograms.
Neural Comput. Appl., 2022

A reduced nonstationary discrete convolution kernel for multimode process monitoring.
Int. J. Mach. Learn. Cybern., 2022

New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer.
Knowl. Based Syst., 2022

Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults.
J. Frankl. Inst., 2022

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.
Adv. Eng. Informatics, 2022

A multi-source transfer learning method for new mode monitoring in industrial processes.
Proceedings of the 8th International Conference on Control, 2022

2021
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process.
IEEE Trans. Neural Networks Learn. Syst., 2021

Supervised Deep Belief Network for Quality Prediction in Industrial Processes.
IEEE Trans. Instrum. Meas., 2021

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes.
IEEE Trans. Instrum. Meas., 2021

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron., 2021

Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring.
Neural Networks, 2021

A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes.
Knowl. Based Syst., 2021

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process.
Inf. Sci., 2021

Preliminary data-based matrix factorization approach for recommendation.
Inf. Process. Manag., 2021

A robust personalized location recommendation based on ensemble learning.
Expert Syst. Appl., 2021

Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network.
Eng. Appl. Artif. Intell., 2021

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes.
Eng. Appl. Artif. Intell., 2021

2020
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., 2020

Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable.
IEEE Trans. Instrum. Meas., 2020

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics, 2020

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network.
IEEE Trans. Ind. Informatics, 2020

Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit.
Inf. Sci., 2020

Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE.
Neurocomputing, 2020

LDA-based deep transfer learning for fault diagnosis in industrial chemical processes.
Comput. Chem. Eng., 2020

2019
Singular value decomposition based recommendation using imputed data.
Knowl. Based Syst., 2019

Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process.
Proceedings of the 12th Asian Control Conference, 2019

A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm.
Proceedings of the 12th Asian Control Conference, 2019

2018
Temperature Prediction Model for Roller Kiln by ALD-Based Double Locally Weighted Kernel Principal Component Regression.
IEEE Trans. Instrum. Meas., 2018

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics, 2018

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron., 2018

Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion.
Multim. Tools Appl., 2018

A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems.
J. Assoc. Inf. Sci. Technol., 2018

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression.
IEEE Access, 2018

A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application.
IEEE Access, 2018

On the curve and impedance-wall improvement of quad-ridged horn in the application of compact range simulation.
Proceedings of the 2018 International Conference on Identification, 2018

Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling.
Proceedings of the IECON 2018, 2018

2017
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas., 2017

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics, 2017

Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation.
IEEE Trans. Ind. Electron., 2017

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.
IEEE Trans. Control. Syst. Technol., 2017

面向推荐系统数据安全的无证书门限解密方案 (Certificateless Threshold Decryption Scheme for Data Security of Recommendation System).
计算机科学, 2017

2016
Retrofit self-optimizing control of Tennessee Eastman process.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2013
A soft-sensor for estimating copper quality by image analysis technology.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

An Approach for Extrapolating Far Field Radar Cross-Section from Near Field Measurement.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2008
Study on Discretization in Rough Set Via Modified Quantum Genetic Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

2006
FDUQA on TREC 2006 QA Track.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

A Fast Algorithm for the Quasi-Synchronous Window.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

Improvement on the Constrained Association Rule Mining Algorithm of Separate.
Proceedings of the First IEEE International Conference on Digital Information Management (ICDIM), 2006


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