Chunyue Song
Orcid: 0000-0003-2196-520X
According to our database1,
Chunyue Song
authored at least 36 papers
between 2002 and 2025.
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Bibliography
2025
Hierarchical fault propagation path recognition method based on knowledge-driven graph attention autoencoder with bilayer pooling for large-scale industrial system.
Adv. Eng. Informatics, 2025
2024
Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing.
IEEE Trans. Cybern., October, 2024
Hybrid-Order Graph Embedded Distributed Encoder-Decoder for Multiunit Industrial Plant-Wide Process Monitoring.
IEEE Trans Autom. Sci. Eng., October, 2024
Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Spatial-Temporal Causality Modeling for Industrial Processes With a Knowledge-Data Guided Reinforcement Learning.
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Intell. Transp. Syst., February, 2024
Knowledge-Enhanced Distributed Graph Autoencoder for Multiunit Industrial Plant-Wide Process Monitoring.
IEEE Trans. Ind. Informatics, February, 2024
Incipient fault detection enhancement based on spatial-temporal multi-mode siamese feature contrast learning for industrial dynamic process.
Comput. Ind., February, 2024
State of health confidence estimation for lithium-ion battery based on probabilistic ensemble learning.
Trans. Inst. Meas. Control, 2024
Iterative Deep Graph Learning and Embedding for Industrial Fault Diagnosis With Limited Labeled Data.
IEEE Trans. Instrum. Meas., 2024
Granulation-based long-term interval prediction considering spatial-temporal correlations for gas demand prediction in the steel industry.
Expert Syst. Appl., 2024
Two-stage transfer learning-based nonparametric system identification with Gaussian process regression.
Comput. Chem. Eng., 2024
2023
IEEE Trans. Control. Syst. Technol., November, 2023
Multi-scale adaptive multivariate state estimation fault detection enhancement for time-varying industrial system based on multi-output Gaussian process autoregression.
Comput. Ind. Eng., September, 2023
Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network.
Inf. Sci., July, 2023
Adaptive finite-time optimised impedance control for robotic manipulators with state constraints.
Int. J. Syst. Sci., July, 2023
Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems.
Inf. Sci., June, 2023
Optimal decision-making of mutual fund temporary borrowing problem via approximate dynamic programming.
Comput. Oper. Res., May, 2023
Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism.
Eng. Appl. Artif. Intell., 2023
2022
Domain Adaptation Mixture of Gaussian Processes for Online Soft Sensor Modeling of Multimode Processes When Sensor Degradation Occurs.
IEEE Trans. Ind. Informatics, 2022
2021
An event-triggered model predictive control with exponentially stable offset free for PWA systems with model-plant mismatch.
J. Frankl. Inst., 2021
Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant.
CoRR, 2021
Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network.
Comput. Chem. Eng., 2021
A distributed model predictive control algorithm with the gap metric output feedback decoupling.
Comput. Chem. Eng., 2021
2020
Manifold-Preserving Sparse Graph-Based Ensemble FDA for Industrial Label-Noise Fault Classification.
IEEE Trans. Instrum. Meas., 2020
A PWA model identification method for nonlinear systems using hierarchical clustering based on the gap metric.
Comput. Chem. Eng., 2020
2018
An integrated output space partition and optimal control method of multiple-model for nonlinear systems.
Comput. Chem. Eng., 2018
2017
Node Redeployment Algorithm Based on Stratified Connected Tree for Underwater Sensor Networks.
Sensors, 2017
2012
2010
2009
Proceedings of the American Control Conference, 2009
2006
Hierarchical Varying Receding-Horizon Policy: A New Production Control Policy for Hybrid Stochastic Production Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2004
A multi-time scales model and control for hybrid stochastic production systems with quadratic cost.
Proceedings of the 2004 American Control Conference, 2004
2003
Proceedings of the IEEE International Conference on Systems, 2003
2002
Critical events based hierarchical flow control policy of production systems involving aging.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
Proceedings of the American Control Conference, 2002