Xiaofang Chen
Orcid: 0000-0002-7188-032X
According to our database1,
Xiaofang Chen
authored at least 71 papers
between 2004 and 2024.
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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
A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling.
IEEE Trans. Ind. Informatics, 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
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
CoRR, 2024
CoRR, 2024
Learning model predictive control of nonlinear systems with time-varying parameters using Koopman operator.
Appl. Math. Comput., 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
Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring.
Inf. Sci., November, 2023
A Hybrid Model for Billet Tapping Temperature Prediction and Optimization in Reheating Furnace.
IEEE Trans. Ind. Informatics, August, 2023
LDA enhanced one-bit compressive sensing method for high-throughput mass spectrometry data feature selection.
Digit. Signal Process., August, 2023
Root cause analysis for process industry using causal knowledge map under large group environment.
Adv. Eng. Informatics, August, 2023
Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process.
IEEE Trans. Ind. Informatics, March, 2023
Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision.
Appl. Soft Comput., March, 2023
Superheat Degree Recognition of Aluminum Electrolysis Cell Using Unbalance Double Hierarchy Hesitant Linguistic Petri Nets.
IEEE Trans. Instrum. Meas., 2023
Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
Optimization Method of the Installation Direction of Industrial Endoscopes for Increasing the Imaged Burden Surface Area in Blast Furnaces.
IEEE Trans. Ind. Informatics, 2022
A novel multiple temporal-spatial convolution network for anode current signals classification.
Int. J. Mach. Learn. Cybern., 2022
Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine.
J. Syst. Control. Eng., 2022
Inf. Process. Manag., 2022
A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application.
Neurocomputing, 2022
Time series clustering method with cluster validation to identify unknown local cell conditions in the aluminum reduction cell.
Comput. Ind. Eng., 2022
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions.
Appl. Intell., 2022
2021
Formation mechanism of environmental protection behaviours of community residents: A system dynamics perspective.
Kybernetes, 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
Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application.
J. Biomed. Informatics, 2021
The role of perceived integration in WeChat usages for seeking information and sharing comments: A social capital perspective.
Inf. Manag., 2021
Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification.
Appl. Soft Comput., 2021
Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis.
IEEE Access, 2021
Exploration on the Construction of Virtual Simulation Experiment Platform of Law under the Background of New Liberal Arts.
Proceedings of the ICIIP 2021: 2021 6th International Conference on Intelligent Information Processing, 2021
2020
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis.
Neural Comput. Appl., 2020
Int. J. Mach. Learn. Cybern., 2020
Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning.
Int. J. Mach. Learn. Cybern., 2020
A semi-supervised Laplacian extreme learning machine and feature fusion with CNN for industrial superheat identification.
Neurocomputing, 2020
Hydro-metallurgical Process Study on Treating Copper from the Perspective of New Environmental Protection Law.
Proceedings of the ISBDAI 2020, 2020
A Study on The Admission Policy of College Entrance Examination for Ethnic Minorities in China from the Perspective of Cultural Analysis.
Proceedings of the ISBDAI 2020, 2020
2019
Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS.
Int. J. Mach. Learn. Cybern., 2019
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process.
Neurocomputing, 2019
A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application.
IEEE Access, 2019
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
2018
Appl. Math. Comput., 2018
A Multi-objective Optimization Algorithm Based on Preference Three-Way Decomposition.
Proceedings of the Knowledge Science, Engineering and Management, 2018
A Soft Sensing Prediction Model of Superheat Degree in the Aluminum Electrolysis Production.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
J. Control. Sci. Eng., 2017
Semantic Network Based on Intuitionistic Fuzzy Directed Hyper-Graphs and Application to Aluminum Electrolysis Cell Condition Identification.
IEEE Access, 2017
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2013
A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification.
J. Appl. Math., 2013
Int. J. Netw. Virtual Organisations, 2013
2012
Proceedings of the 11th Wuhan International Conference on E-Business, 2012
Proceedings of the 11th Wuhan International Conference on E-Business, 2012
2011
Analysis and Computation of Optimal Bounds of Bi-directional Frames.
Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Noordwijkerhout, The Netherlands, 28, 2011
2010
Int. J. Softw. Tools Technol. Transf., 2010
Efficient methods for formally verifying safety properties of hierarchical cache coherence protocols.
Formal Methods Syst. Des., 2010
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010
2009
Automatic Discovery of Transition Symmetry in Multithreaded Programs Using Dynamic Analysis.
Proceedings of the Model Checking Software, 2009
2008
Verification of Hierarchical Cache Coherence Protocols for Futuristic Processors.
PhD thesis, 2008
Proceedings of the Model Checking Software, 2008
2007
Proceedings of the Model Checking Software, 2007
Hierarchical cache coherence protocol verification one level at a time through assume guarantee.
Proceedings of the IEEE International High Level Design Validation and Test Workshop, 2007
Proceedings of the Formal Methods in Computer-Aided Design, 7th International Conference, 2007
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Ninth International Conference on Control, 2006
Reducing Verification Complexity of a Multicore Coherence Protocol Using Assume/Guarantee.
Proceedings of the Formal Methods in Computer-Aided Design, 6th International Conference, 2006
2004
Multi-step optimal control of complex process: a genetic programming strategy and its application.
Eng. Appl. Artif. Intell., 2004