Weimin Zhong
Orcid: 0000-0002-4285-4739
According to our database1,
Weimin Zhong
authored at least 65 papers
between 2003 and 2024.
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Bibliography
2024
A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Integration of Encoding and Temporal Forecasting: Toward End-to-End NO<sub>x</sub> Prediction for Industrial Chemical Process.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Hierarchical Fault Root Cause Identification in Plant-Wide Processes Using Distributed Direct Causality Analysis.
IEEE Trans. Ind. Informatics, March, 2024
Fault Effect Identification-Based Adaptive Performance Self-Recovery Control Strategy for Wastewater Treatment Process.
IEEE Trans. Ind. Informatics, March, 2024
Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Distributed secure consensus for multiagent systems based on removing intra-cluster coupling restrictions and its application to energy systems.
Inf. Sci., January, 2024
Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions.
IEEE Trans. Instrum. Meas., 2024
Robust Sparse Gaussian Process Regression for Soft Sensing in Industrial Big Data Under the Outlier Condition.
IEEE Trans. Instrum. Meas., 2024
2023
Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression With Maximizing the Composite Likelihood.
IEEE Trans. Ind. Electron., November, 2023
A Novel Distributed Fault Diagnosis Scheme Toward Open-Set Scenarios Based on Extreme Value Theory.
IEEE Trans. Ind. Informatics, October, 2023
Self-Healing Control for Wastewater Treatment Process Based on Variable-Gain State Observer.
IEEE Trans. Ind. Informatics, October, 2023
Residual-triggered threshold decision and performance self-healing control for wastewater treatment process.
Inf. Sci., September, 2023
Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties.
Comput. Chem. Eng., March, 2023
Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling.
IEEE Trans. Ind. Informatics, 2023
Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process.
IEEE Trans. Artif. Intell., 2023
Data-Driven Fault Compensation Tracking Control for Coupled Wastewater Treatment Process.
IEEE CAA J. Autom. Sinica, 2023
CoRR, 2023
Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156].
Comput. Chem. Eng., 2023
2022
Neural Network Based on Windowed Convolutional Transformation to Extract Features in Time Domain and Its Application on Soft Sensing.
IEEE Trans. Instrum. Meas., 2022
Fully Distributed Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems With Quantized Communication.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Observer-Based Secure Event-Triggered Bipartite Consensus Control of Linear Multiagent Systems Subject to Denial-of-Service Attacks.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks.
IEEE Trans. Cogn. Dev. Syst., 2022
Neural networks with upper and lower bound constraints and its application on industrial soft sensing modeling with missing values.
Knowl. Based Syst., 2022
Quality-relevant feature extraction method based on teacher-student uncertainty autoencoder and its application to soft sensors.
Inf. Sci., 2022
Fully distributed quantized secure bipartite consensus control of nonlinear multiagent systems subject to denial-of-service attacks.
Neurocomputing, 2022
Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: A disturbance observer-based approach.
Neurocomputing, 2022
2021
IEEE Trans. Instrum. Meas., 2021
A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications.
IEEE Trans. Ind. Informatics, 2021
Model-Agnostic Meta-Learning With Optimal Alternative Scaling Value and Its Application to Industrial Soft Sensing.
IEEE Trans. Ind. Informatics, 2021
A Sparse Nonstationary Trigonometric Gaussian Process Regression and Its Application on Nitrogen Oxide Prediction of the Diesel Engine.
IEEE Trans. Ind. Informatics, 2021
Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint.
Neurocomputing, 2021
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning.
CoRR, 2021
Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring.
CoRR, 2021
A Motor Rehabilitation BMI System Design Through Improving the SJIT Model and Introducing an MPC-based Auxiliary Controller.
Cogn. Comput., 2021
A deep learning-based robust optimization approach for refinery planning under uncertainty.
Comput. Chem. Eng., 2021
Event-Triggered Control for Leader-Following Bipartite Bounded Consensus of Multi-agent Systems Under Quantized Information.
Proceedings of the IECON 2021, 2021
2020
Swarm Evol. Comput., 2020
Neurocomputing, 2020
A closed-loop BMI system design based on the improved SJIT model and the network of Izhikevich neurons.
Neurocomputing, 2020
Comput. Chem. Eng., 2020
An Interval Type-2 Fuzzy Controller Based on Data-Driven Parameters Extraction for Cement Calciner Process.
IEEE Access, 2020
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
The Construction Model of Logistics Park Information Management Platform Based on ESB.
Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020
2019
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Cybern., 2019
A novel approach to reconstruction based saliency detection via convolutional neural network stacked with auto-encoder.
Neurocomputing, 2019
Bipartite Tracking Consensus Control of Nonlinear High-Order Multi-Agent Systems Subject to Exogenous Disturbances.
IEEE Access, 2019
Just-in-time learning for cement free lime prediction with empirical mode decomposition and database monitoring index.
Proceedings of the 12th Asian Control Conference, 2019
2018
Secure impulsive synchronization control of multi-agent systems under deception attacks.
Inf. Sci., 2018
Neurocomputing, 2018
Objective reduction particle swarm optimizer based on maximal information coefficient for many-objective problems.
Neurocomputing, 2018
Optimization of industrial boiler combustion control system based on genetic algorithm.
Comput. Electr. Eng., 2018
2017
An online performance monitoring using statistics pattern based kernel independent component analysis for non-Gaussian process.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
2016
Control structure design of an industrial crude terephthalic acid hydropurification process with catalyst deactivation.
Comput. Chem. Eng., 2016
2015
Fruit fly optimization algorithm based on differential evolution and its application on gasification process operation optimization.
Knowl. Based Syst., 2015
Designing closed-loop brain-machine interfaces with network of spiking neurons using MPC strategy.
Proceedings of the American Control Conference, 2015
2012
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012
2011
A data-driven soft sensor modeling for furnace temperature of Opposed Multi-Burner gasifier.
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the Applied Informatics and Communication - International Conference, 2011
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Computational Science, 2005
2003
Proceedings of the IEEE International Conference on Systems, 2003