Zhihuan Song
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes.
IEEE Trans Autom. Sci. Eng., April, 2024
Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
A Novel Sequence Discriminative Feature Extraction Network and Its Application in Offline Industrial Fault Pattern Clustering.
IEEE Trans. Ind. Informatics, February, 2024
Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes.
IEEE Trans. Ind. Informatics, January, 2024
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method.
IEEE Trans. Inf. Forensics Secur., 2024
2023
Reinforcement learning-based cost-sensitive classifier for imbalanced fault classification.
Sci. China Inf. Sci., November, 2023
First attempt of barrier functions for Caputo's fractional-order nonlinear dynamical systems.
Sci. China Inf. Sci., July, 2023
Frontiers Inf. Technol. Electron. Eng., March, 2023
Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.
IEEE Trans. Instrum. Meas., 2023
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults.
IEEE Trans. Artif. Intell., 2023
Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study.
Sensors, 2023
J. Control. Decis., 2023
CoRR, 2023
Balanced Adversarial Robust Learning for Industrial Fault Classification with Imbalanced Data.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023
Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning.
Proceedings of the CAA Symposium on Fault Detection, 2023
Data Augmentation Based on Active Virtual Sample Selection for Bearing Fault Diagnosis.
Proceedings of the CAA Symposium on Fault Detection, 2023
GPBP: Pipeline Extraction of Entities and Relations for Construction of Urban Utility Tunnel Knowledge Graph.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Ind. Informatics, 2022
Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process.
IEEE Trans. Cybern., 2022
IEEE Trans. Consumer Electron., 2022
Neural Comput. Appl., 2022
Frontiers Inf. Technol. Electron. Eng., 2022
Eng. Appl. Artif. Intell., 2022
Comput. Vis. Image Underst., 2022
A Novel Attempt of Barrier Function to the Safety of Caputo's fractional-order systems.
Proceedings of the 8th International Conference on Control, 2022
2021
Virtual Sensor Development for Multioutput Nonlinear Processes Based on Bilinear Neighborhood Preserving Regression Model With Localized Construction.
IEEE Trans. Ind. Informatics, 2021
Dynamic Variational Bayesian Student's T Mixture Regression With Hidden Variables Propagation for Industrial Inferential Sensor Development.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Cybern., 2021
Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning.
Neurocomputing, 2021
Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process.
IEEE CAA J. Autom. Sinica, 2021
A New Safety Criterion for Dynamics Systems by Barrier Function based on Forward Invariant Set.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction.
IEEE Trans. Ind. Informatics, 2020
Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring.
IEEE Trans. Ind. Electron., 2020
Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes.
IEEE Trans Autom. Sci. Eng., 2020
Locally linear back-propagation based contribution for nonlinear process fault diagnosis.
IEEE CAA J. Autom. Sinica, 2020
Dynamic Bayesian network for robust latent variable modeling and fault classification.
Eng. Appl. Artif. Intell., 2020
2019
IEEE Trans. Ind. Informatics, 2019
Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data.
IEEE Trans. Ind. Electron., 2019
Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme.
IEEE Trans. Control. Syst. Technol., 2019
Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression.
IEEE Trans. Control. Syst. Technol., 2019
Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes.
IEEE Trans Autom. Sci. Eng., 2019
Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances.
IEEE Trans Autom. Sci. Eng., 2019
Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model.
IEEE Trans Autom. Sci. Eng., 2019
Robust inferential sensor development based on variational Bayesian Student's-<i>t</i> mixture regression.
Neurocomputing, 2019
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes.
IEEE Access, 2019
Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling.
IEEE Access, 2019
Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes.
IEEE Access, 2019
Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model.
Proceedings of the CAA Symposium on Fault Detection, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
Multiphase and Multimode Monitoring of Batch Processes Based on Density Peak Clustering and Just-in-time Learning.
Proceedings of the CAA Symposium on Fault Detection, 2019
Robust Soft Sensing for Multi-mode Processes Based on Bayesian Regularized Student's-t Mixture Regression.
Proceedings of the 12th Asian Control Conference, 2019
Proceedings of the 12th Asian Control Conference, 2019
Proceedings of the 12th Asian Control Conference, 2019
2018
Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model.
IEEE Trans. Ind. Electron., 2018
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron., 2018
Student's-<i>t</i> Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes.
Sensors, 2018
A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method.
J. Frankl. Inst., 2018
Fault diagnosis for processes with feedback control loops by shifted output sampling approach.
J. Frankl. Inst., 2018
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes.
IFAC J. Syst. Control., 2018
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data.
Annu. Rev. Control., 2018
2017
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas., 2017
Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data.
IEEE Trans. Ind. Informatics, 2017
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Electron., 2017
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes.
IEEE Trans. Control. Syst. Technol., 2017
IEEE Trans. Control. Syst. Technol., 2017
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.
IEEE Trans. Control. Syst. Technol., 2017
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis.
IEEE Trans Autom. Sci. Eng., 2017
IEEE Access, 2017
Soft sensors of nonlinear industrial processes based on self-learning kernel regression model.
Proceedings of the 11th Asian Control Conference, 2017
2016
Proceedings of the IEEE International Conference on Industrial Technology, 2016
2015
HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification.
IEEE Trans. Ind. Electron., 2015
J. Comput. Methods Sci. Eng., 2015
2014
Comput. Electr. Eng., 2014
Proceedings of the American Control Conference, 2014
2013
Multi-step prediction of chaotic time-series with intermittent failures based on the generalized nonlinear filtering methods.
Appl. Math. Comput., 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
2012
Ad Hoc Sens. Wirel. Networks, 2012
Proceedings of the American Control Conference, 2012
2011
Expert Syst. Appl., 2011
Comput. Chem. Eng., 2011
2010
A neurocomputational method for fully automated 3D dendritic spine detection and segmentation of medium-sized spiny neurons.
NeuroImage, 2010
J. Zhejiang Univ. Sci. C, 2010
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
2009
J. Circuits Syst. Comput., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
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
Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Proceedings of the Advances in Intelligent Computing, 2005
2003
Proceedings of the IEEE International Conference on Systems, 2003
2000
Improved PCA with optimized sensor locations for process monitoring and fault diagnosis.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
Wavelet-based frequency band weighting approach to control-relevant process identification.
Proceedings of the American Control Conference, 2000