Yongfang Xie
Orcid: 0000-0002-2060-6574Affiliations:
- Central South University, School of Automation, Changsha, China
According to our database1,
Yongfang Xie
authored at least 111 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process.
IEEE Trans Autom. Sci. Eng., April, 2024
Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion.
Int. J. Mach. Learn. Cybern., April, 2024
Delicately Reinforced k-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Reinforcement Learning for Blast Furnace Ironmaking Operation With Safety and Partial Observation Considerations.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes.
IEEE Trans. Ind. Informatics, March, 2024
A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling.
IEEE Trans. Ind. Informatics, March, 2024
Time-Varying Formation Control With Transient Performance for Multiagent Systems Under Jointly Connected Topologies.
IEEE Syst. J., March, 2024
Hybrid-driven BRBCS-BOM with expert intervention and its application for abnormity recognition in electrolytic cell.
Expert Syst. Appl., March, 2024
Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
A Cooperative Silicon Content Dynamic Prediction Method With Variable Time Delay Estimation in the Blast Furnace Ironmaking Process.
IEEE Trans. Ind. Informatics, January, 2024
Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients.
Expert Syst. Appl., January, 2024
Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring.
Eng. Appl. Artif. Intell., January, 2024
Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process.
IEEE Trans. Instrum. Meas., 2024
A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism.
Multim. Tools Appl., 2024
Consensus-based probabilistic hesitant intuitionistic linguistic Petri nets for knowledge-intensive work of superheat degree identification.
Adv. Eng. Informatics, 2024
Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment.
Adv. Eng. Informatics, 2024
2023
ES-net: An Integration Model Based on Encoder-Decoder and Siamese Time Series Difference Network for Grade Monitoring of Zinc Tailings and Concentrate.
IEEE Trans. Ind. Electron., November, 2023
Image Vis. Comput., November, 2023
Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring.
Inf. Sci., November, 2023
A Binocular Camera Calibration Method in Froth Flotation Based on Key Frame Sequences and Weighted Normalized Tilt Difference.
IEEE Trans. Circuits Syst. Video Technol., October, 2023
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring.
IEEE Trans. Ind. Electron., September, 2023
IEEE Trans. Autom. Control., August, 2023
Root cause analysis for process industry using causal knowledge map under large group environment.
Adv. Eng. Informatics, August, 2023
Structure-preserving texture smoothing with scale-aware intensity aggregation structure measurement.
Digit. Signal Process., May, 2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process.
IEEE Trans. Ind. Informatics, March, 2023
Cogn. Comput., March, 2023
Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision.
Appl. Soft Comput., March, 2023
Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring.
IEEE Trans. Instrum. Meas., 2023
Toward Automated Right Ventricle Segmentation via Edge Feature-Induced Self-Attention Multiscale Feature Aggregation Full Convolution Network.
IEEE Trans. Instrum. Meas., 2023
Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier.
IEEE Trans. Cybern., 2023
Fully distributed adaptive time-varying formation control of singular multiagent systems.
Neurocomputing, 2023
Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification : Extended abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification.
IEEE Trans. Knowl. Data Eng., 2022
Operating Condition Recognition in Zinc Flotation Using Statistic and Temporal Correlation Features.
IEEE Trans. Instrum. Meas., 2022
Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-Wise Deep Transfer Network.
IEEE Trans. Instrum. Meas., 2022
Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process.
IEEE Trans. Ind. Informatics, 2022
Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders.
IEEE Trans. Ind. Informatics, 2022
Sliding-Mode-Based Admissible Consensus Tracking of Nonlinear Singular Multiagent Systems Under Jointly Connected Topologies.
IEEE Trans. Cybern., 2022
Int. J. Mach. Learn. Cybern., 2022
A novel multiple temporal-spatial convolution network for anode current signals classification.
Int. J. Mach. Learn. Cybern., 2022
Toward robust process monitoring of complex process industries based on denoising sparse auto-encoder.
J. Ind. Inf. Integr., 2022
Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control.
Expert Syst. Appl., 2022
A Multi-objective optimization algorithm based on dynamic user-preference information.
Computing, 2022
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions.
Appl. Intell., 2022
A novel cause analysis approach of grey reasoning Petri net based on matrix operations.
Appl. Intell., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features.
IEEE Trans. Instrum. Meas., 2021
RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information.
IEEE Trans. Instrum. Meas., 2021
LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation.
IEEE Trans. Instrum. Meas., 2021
Mass Flow Measurement of Molten Iron From Blast Furnace, Based on Trusted Region Stacking Using Single High-Speed Camera.
IEEE Trans. Instrum. Meas., 2021
Velocity Measurement of Blast Furnace Molten Iron Based on Mixed Morphological Features of Boundary Pixel Sets.
IEEE Trans. Instrum. Meas., 2021
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues.
IEEE Trans. Instrum. Meas., 2021
Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation.
IEEE Trans. Ind. Informatics, 2021
Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment.
IEEE Trans. Ind. Informatics, 2021
Learning Local Gabor Pattern-Based Discriminative Dictionary of Froth Images for Flotation Process Working Condition Monitoring.
IEEE Trans. Ind. Informatics, 2021
A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications.
IEEE Trans. Ind. Informatics, 2021
Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint.
IEEE Trans. Cybern., 2021
Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS.
Int. J. Mach. Learn. Cybern., 2021
Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.
Medical Image Anal., 2021
An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine.
J. Syst. Control. Eng., 2021
A method for root cause diagnosis with picture fuzzy sets based dynamic uncertain causality graph.
J. Intell. Fuzzy Syst., 2021
Deep learning feature-based setpoint generation and optimal control for flotation processes.
Inf. Sci., 2021
CAAI Trans. Intell. Technol., 2021
Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis.
IEEE Access, 2021
Proceedings of the BIC 2021: International Conference on Bioinformatics and Intelligent Computing, 2021
2020
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Online Monitoring of Flotation Froth Bubble-Size Distributions via Multiscale Deblurring and Multistage Jumping Feature-Fused Full Convolutional Networks.
IEEE Trans. Instrum. Meas., 2020
A Similarity-Based Burst Bubble Recognition Using Weighted Normalized Cross Correlation and Chamfer Distance.
IEEE Trans. Ind. Informatics, 2020
Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant.
IEEE Trans. Ind. Electron., 2020
Toward Flotation Process Operation-State Identification via Statistical Modeling of Biologically Inspired Gabor Filtering Responses.
IEEE Trans. Cybern., 2020
Cooperative output regulation of singular multi-agent systems under adaptive distributed protocol and general entirety method.
Syst. Control. Lett., 2020
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.
Neural Comput. Appl., 2020
Fuzzy association rule-based set-point adaptive optimization and control for the flotation process.
Neural Comput. Appl., 2020
Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning.
Int. J. Mach. Learn. Cybern., 2020
Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification.
Inf. Sci., 2020
Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking.
Inf. Sci., 2020
A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification.
Neurocomputing, 2020
Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection.
Expert Syst. Appl., 2020
Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection.
Expert Syst. Appl., 2020
Entropy, 2020
FoGDbED: Fractional-order Gaussian derivatives-based edge-relevant structure detection using Caputo-Fabrizio definition.
Digit. Signal Process., 2020
STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling.
IEEE Access, 2020
Time-varying formation control of singular multi-agent systems with multiple leaders.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
Temperature Measurement and Compensation Method of Blast Furnace Molten Iron Based on Infrared Computer Vision.
IEEE Trans. Instrum. Meas., 2019
Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network.
IEEE Trans. Ind. Electron., 2019
On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.
Neural Networks, 2019
Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS.
Int. J. Mach. Learn. Cybern., 2019
Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant.
J. Frankl. Inst., 2019
A novel modularity-based discrete state transition algorithm for community detection in networks.
Neurocomputing, 2019
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing, 2019
Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics.
Neurocomputing, 2019
Admissible <i>H</i><sub>∞</sub> control of linear descriptor multi-agent systems with external disturbances.
Neurocomputing, 2019
IEEE Access, 2019
A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application.
IEEE Access, 2019
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019
2018
A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants.
IEEE Trans. Ind. Informatics, 2018
Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process.
IEEE Trans. Cybern., 2018
Temperature Measurement Method for Blast Furnace Molten Iron Based on Infrared Thermography and Temperature Reduction Model.
Sensors, 2018
Int. J. Syst. Sci., 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Reagent Addition Control for Stibium Rougher Flotation Based on Sensitive Froth Image Features.
IEEE Trans. Ind. Electron., 2017
Neurocomputing, 2017
Optimal control of an SIVRS epidemic spreading model with virus variation based on complex networks.
Commun. Nonlinear Sci. Numer. Simul., 2017
Guaranteed Cost Control for Descriptor Type-2 Fuzzy Systems With Stochastic Delay Distribution.
IEEE Access, 2017
2016
Codewords Distribution-Based Optimal Combination of Equal-Average Equal-Variance Equal-Norm Nearest Neighbor Fast Search Algorithm for Vector Quantization Encoding.
IEEE Trans. Image Process., 2016
2007
Decentralized robust H∞ output feedback control for value bounded uncertain large-scale interconnected systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Robust decentralized H∞ control of multi-channel discrete-time descriptor systems with time-delays.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007