S. Joe Qin
Orcid: 0000-0001-7631-2535
According to our database1,
S. Joe Qin
authored at least 96 papers
between 1994 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2011, "For contributions to model predictive control technology and fault diagnosis in industrial processes".
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2024
Probabilistic Reduced-Dimensional Vector Autoregressive Modeling with Oblique Projections.
CoRR, 2024
2023
Knowledge-Informed Sparse Learning for Relevant Feature Selection and Optimal Quality Prediction.
IEEE Trans. Ind. Informatics, December, 2023
Attention-mechanism based DiPLS-LSTM and its application in industrial process time series big data prediction.
Comput. Chem. Eng., August, 2023
Applying and dissecting LSTM neural networks and regularized learning for dynamic inferential modeling.
Comput. Chem. Eng., July, 2023
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.
CoRR, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Probabilistic Reduced-Dimensional Vector Autoregressive Modeling for Dynamics Prediction and Reconstruction with Oblique Projections.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Low-Dimensional Latent State Space Identification with Application to the Shell Control Process.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data.
IEEE Trans. Ind. Informatics, 2022
Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective.
IEEE Control. Syst. Lett., 2022
2021
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Ind. Informatics, 2021
Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis.
Comput. Chem. Eng., 2021
Integration of process knowledge and statistical learning for the Dow data challenge problem.
Comput. Chem. Eng., 2021
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
Latent Vector Autoregressive Modeling for Reduced Dimensional Dynamic Feature Extraction and Prediction.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
A Non-iterative Partial Least Squares Algorithm for Supervised Learning with Collinear Data.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Modeling inter-layer interactions for out-of-plane shape deviation reduction in additive manufacturing.
IISE Trans., 2020
Comput. Chem. Eng., 2020
Comput. Chem. Eng., 2020
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.
Annu. Rev. Control., 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Distributed Approach for Temporal-Spatial Charging Coordination of Plug-in Electric Taxi Fleet.
IEEE Trans. Ind. Informatics, 2019
Comput. Chem. Eng., 2019
Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Comput. Chem. Eng., 2018
2017
Unevenly Sampled Dynamic Data Modeling and Monitoring With an Industrial Application.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Control. Syst. Technol., 2017
Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis.
Proceedings of the 2017 American Control Conference, 2017
Distributed optimization of multi-building energy systems with spatially and temporally coupled constraints.
Proceedings of the 2017 American Control Conference, 2017
2016
Comprehensive Monitoring of Nonlinear Processes Based on Concurrent Kernel Projection to Latent Structures.
IEEE Trans Autom. Sci. Eng., 2016
Feature selection based on concurrent projection to latent structures for high dimensional spectra data.
Proceedings of the IEEE International Conference on Information and Automation, 2016
Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016
Deep causal mining for plant-wide oscillations with multilevel Granger causality analysis.
Proceedings of the 2016 American Control Conference, 2016
2015
Proceedings of the Encyclopedia of Systems and Control, 2015
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015
2014
Multiblock Concurrent PLS for Decentralized Monitoring of Continuous Annealing Processes.
IEEE Trans. Ind. Electron., 2014
IEEE Trans. Ind. Electron., 2014
IEEE Trans Autom. Sci. Eng., 2014
Annu. Rev. Control., 2014
Multi-directional reconstruction based contributions for root-cause diagnosis of dynamic processes.
Proceedings of the American Control Conference, 2014
2013
Decentralized Fault Diagnosis of Continuous Annealing Processes Based on Multilevel PCA.
IEEE Trans Autom. Sci. Eng., 2013
Predictive control methods to improve energy efficiency and reduce demand in buildings.
Comput. Chem. Eng., 2013
Proceedings of the American Control Conference, 2013
2012
Discussion on: "Post-Optimality Approach to Prevent Cycling in Linear MPC Target Calculation".
Eur. J. Control, 2012
Annu. Rev. Control., 2012
Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Concurrent projection to latent structures for output-relevant and input-relevant fault monitoring.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Non-stationary Kalman filter parametrization of subspace models with applications to MPC.
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2011
Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes.
IEEE Trans. Neural Networks, 2011
Quality Relevant Data-Driven Modeling and Monitoring of Multivariate Dynamic Processes: The Dynamic T-PLS Approach.
IEEE Trans. Neural Networks, 2011
Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process.
IEEE Trans. Control. Syst. Technol., 2011
KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design, 2011
Soft sensing of sodium aluminate solution component concentrations via on-line clustering and fuzzy modeling.
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
An adaptive chaotic PSO for parameter optimization and feature extraction of LS-SVM based modelling.
Proceedings of the American Control Conference, 2011
2010
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares.
IEEE Trans. Ind. Informatics, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Tension soft sensor of continuous annealing lines using cascade frequency domain observer with combined PCA and neural networks error compensation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
Reconstruction-based contribution for process monitoring with kernel principal component analysis.
Proceedings of the American Control Conference, 2010
2009
2007
Subspace methods for system identification: Tohru Katayama; Springer-Verlag, ISBN: 1-85233-981-0.
Autom., 2007
Monitoring Non-normal Data with Principal Component Analysis and Adaptive Density Estimation.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
2005
2004
Comput. Chem. Eng., 2004
A two-stage iterative learning control technique combined with real-time feedback for independent disturbance rejection.
Autom., 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004
2003
Proceedings of the Positive Systems, 2003
2002
Int. J. Gen. Syst., 2002
Proceedings of the American Control Conference, 2002
Proceedings of the American Control Conference, 2002
Proceedings of the American Control Conference, 2002
Proceedings of the American Control Conference, 2002
2001
Proceedings of the 40th IEEE Conference on Decision and Control, 2001
Proceedings of the American Control Conference, 2001
Proceedings of the American Control Conference, 2001
1994
IEEE Trans. Fuzzy Syst., 1994