Jinliang Ding
Orcid: 0000-0003-3735-0672
According to our database1,
Jinliang Ding
authored at least 97 papers
between 2006 and 2024.
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Bibliography
2024
A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Self-Supervised Learning and Multisource Heterogeneous Information Fusion Based Quality Anomaly Detection for Heavy-Plate Shape.
IEEE Trans Autom. Sci. Eng., April, 2024
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
IEEE Trans. Ind. Informatics, March, 2024
Distributed Optimal Resource Allocation With Local Feasibility Constraints for High-Order Multiagent Systems.
IEEE Trans. Control. Netw. Syst., March, 2024
Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring.
IEEE Trans. Ind. Electron., 2024
2023
Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis.
Reliab. Eng. Syst. Saf., December, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
A Flexible Probabilistic Framework With Concurrent Analysis of Continuous and Categorical Data for Industrial Fault Detection and Diagnosis.
IEEE Trans. Ind. Informatics, October, 2023
Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
IEEE Trans. Cybern., September, 2023
An effective zero-shot learning approach for intelligent fault detection using 1D CNN.
Appl. Intell., June, 2023
Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing.
IEEE Trans. Instrum. Meas., 2023
A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization.
Evol. Comput., 2023
CoRR, 2023
Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis.
CoRR, 2023
Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2022
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Ind. Informatics, 2022
Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2022
Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation.
IEEE Trans. Cybern., 2022
Thematic issue on knowledge and data driven evolutionary multi-objective optimization.
Memetic Comput., 2022
A novel stochastic configuration network with iterative learning using privileged information and its application.
Inf. Sci., 2022
Gaussian Process-assisted Evolutionary Algorithm for Constrained Expensive Multi-Objective Optimization.
Proceedings of the 13th Asian Control Conference, 2022
2021
IEEE Trans. Veh. Technol., 2021
DMGAN: Adversarial Learning-Based Decision Making for Human-Level Plant-Wide Operation of Process Industries Under Uncertainties.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Ind. Informatics, 2021
Reinforcement Learning Based Decision Making of Operational Indices in Process Industry Under Changing Environment.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Evol. Comput., 2021
A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization.
Memetic Comput., 2021
A novel adaptive dynamic programming based on tracking error for nonlinear discrete-time systems.
Autom., 2021
2020
Robust Event-Triggered Model Predictive Control for Multiple High-Speed Trains With Switching Topologies.
IEEE Trans. Veh. Technol., 2020
Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application.
IEEE Trans. Neural Networks Learn. Syst., 2020
Mixed-Distribution-Based Robust Stochastic Configuration Networks for Prediction Interval Construction.
IEEE Trans. Ind. Informatics, 2020
Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions.
IEEE Trans. Evol. Comput., 2020
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020
Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes.
IEEE Trans. Cybern., 2020
Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol., 2020
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines.
Neurocomputing, 2020
Robust Optimal Tracking Control for Linear Systems via Adaptive Dynamic Programming method.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
2019
Link Quality Estimation in Industrial Temporal Fading Channel With Augmented Kalman Filter.
IEEE Trans. Ind. Informatics, 2019
Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing.
IEEE Trans. Emerg. Top. Comput. Intell., 2019
IEEE Trans. Evol. Comput., 2019
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems.
IEEE Trans. Cybern., 2019
Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes.
IEEE Trans Autom. Sci. Eng., 2019
IEEE Trans Autom. Sci. Eng., 2019
To the special Issue on "Metaheuristics for optimization of complex process engineering".
Nat. Comput., 2019
Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process.
J. Intell. Manuf., 2019
Construction of prediction intervals for carbon residual of crude oil based on deep stochastic configuration networks.
Inf. Sci., 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
Reference Vector Based Multidirectional Prediction for Evolutionary Dynamic Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
NMR principle analysis based object detection for intelligent measurement of crude oil moisture content.
Proceedings of the 12th Asian Control Conference, 2019
2018
Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes.
IEEE Trans. Ind. Electron., 2018
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems.
Memetic Comput., 2018
Incremental data-driven optimization of complex systems in nonstationary environments.
Sci. China Inf. Sci., 2018
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system.
Appl. Soft Comput., 2018
2017
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2017
An online learning neural network ensembles with random weights for regression of sequential data stream.
Soft Comput., 2017
Two-stage assortative mating for multi-objective multifactorial evolutionary optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Gasoline dry point prediction of fractionation processes using dynamic inner partial least squares.
Proceedings of the 11th Asian Control Conference, 2017
2016
Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments.
IEEE Trans. Ind. Informatics, 2016
Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction.
IEEE Syst. J., 2016
An intelligent factory-wide optimal operation system for continuous production process.
Enterp. Inf. Syst., 2016
A preferred learning based adaptive differential evolution algorithm for large scale optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Small data driven evolutionary multi-objective optimization of fused magnesium furnaces.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Reference point based prediction for evolutionary dynamic multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2014
Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans Autom. Sci. Eng., 2014
IEEE Trans Autom. Sci. Eng., 2014
Knowl. Inf. Syst., 2014
GA-based principal component selection for production performance estimation in mineral processing.
Comput. Electr. Eng., 2014
Proceedings of the IEEE International Conference on Information and Automation, 2014
Effect of pseudo gradient on differential evolutionary for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput., 2013
Iterative learning based particle size distribution control in grinding process using output PDF method.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013
2012
IEEE Trans. Ind. Informatics, 2012
Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process.
Eng. Appl. Artif. Intell., 2012
2011
Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization.
IEEE Trans. Neural Networks, 2011
An adaptive chaotic PSO for parameter optimization and feature extraction of LS-SVM based modelling.
Proceedings of the American Control Conference, 2011
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Large-dimensional multi-objective evolutionary algorithms based on improved average ranking.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Data mining based feedback regulation in operation of hematite ore mineral processing plant.
Proceedings of the American Control Conference, 2009
2008
Proceedings of the Advances in Neural Networks, 2008
2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Interactive Software Platform of Intelligent Supervisory Control for the Mineral Grinding Process.
Proceedings of the IEEE International Conference on Control Applications, 2007
2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006