Si-Zhao Joe Qin

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 30

Top Topics

Latent Structure

Industrial Process

Top Venues

Comput. Chem. Eng.

IEEE Trans. Ind. Informatics

Publications

Xu Chen, Xiao He, Si-Zhao Joe Qin
Bidirectional Dynamic Latent Variable Analysis for Closed-Loop Process Monitoring. IEEE Trans. Ind. Electron. 71 (8) (2024)
Lingling Xu, Haoran Xie, Si-Zhao Joe Qin, Xiaohui Tao, Fu Lee Wang
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment. CoRR (2023)
Yongjian Wang, Cheng Qian, Si-Zhao Joe Qin
Attention-mechanism based DiPLS-LSTM and its application in industrial process time series big data prediction. Comput. Chem. Eng. 176 (2023)
Si-Zhao Joe Qin, Siyi Guo, Zheyu Li, Leo H. Chiang, Ivan Castillo, Birgit Braun, Zhenyu Wang
Integration of process knowledge and statistical learning for the Dow data challenge problem. Comput. Chem. Eng. 153 (2021)
Feng Qian, Yaochu Jin, Si-Zhao Joe Qin, Kai Sundmacher
Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Si-Zhao Joe Qin, Yingxiang Liu, Yining Dong
Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis. Comput. Chem. Eng. 152 (2021)
Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage. CoRR (2021)
Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin
Online Peak-Demand Minimization Using Energy Storage. CoRR (2021)
Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin
Optimal Online Algorithms for Peak-Demand Reduction Maximization with Energy Storage. e-Energy (2021)
Yanfang Mo, Qiulin Lin, Minghua Chen, Si-Zhao Joe Qin
Optimal Peak-Minimizing Online Algorithms for Large-Load Users with Energy Storage. INFOCOM Workshops (2021)
Ruonan Liu, Fei Wang, Boyuan Yang, Si-Zhao Joe Qin
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 16 (6) (2020)
Juergen Hahn, Michael Baldea, Si-Zhao Joe Qin
Editorial for Tom Edgar special issue in Computers & Chemical Engineering. Comput. Chem. Eng. 141 (2020)
Yuan Jin, Si-Zhao Joe Qin, Qiang Huang
Modeling inter-layer interactions for out-of-plane shape deviation reduction in additive manufacturing. IISE Trans. 52 (7) (2020)
Sungho Shin, Alex D. Smith, Si-Zhao Joe Qin, Victor M. Zavala
On the Convergence of the Dynamic Inner PCA Algorithm. CoRR (2020)
Yining Dong, Yingxiang Liu, Si-Zhao Joe Qin
Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data. IEEE Trans. Ind. Informatics 16 (6) (2020)
Qinqin Zhu, Si-Zhao Joe Qin, Yining Dong
Dynamic latent variable regression for inferential sensor modeling and monitoring. Comput. Chem. Eng. 137 (2020)
Yining Dong, Si-Zhao Joe Qin
Dynamic-Inner Canonical Correlation Analysis based Process Monitoring. ACC (2020)
Si-Zhao Joe Qin, Yining Dong, Qinqin Zhu, Jin Wang, Qiang Liu
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring. Annu. Rev. Control. 50 (2020)
Si-Zhao Joe Qin, Leo H. Chiang
Advances and opportunities in machine learning for process data analytics. Comput. Chem. Eng. 126 (2019)
Le Zhou, Zhiqiang Ge, Zhihuan Song, Si-Zhao Joe Qin
Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model. CAA SAFEPROCESS (2019)
Zaiyue Yang, Tianci Guo, Pengcheng You, Yunhe Hou, Si-Zhao Joe Qin
Distributed Approach for Temporal-Spatial Charging Coordination of Plug-in Electric Taxi Fleet. IEEE Trans. Ind. Informatics 15 (6) (2019)
Yining Dong, Si-Zhao Joe Qin
Dynamic latent variable analytics for process operations and control. Comput. Chem. Eng. 114 (2018)
Qinqin Zhu, Qiang Liu, Si-Zhao Joe Qin
Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis. ACC (2017)
Qiang Liu, Si-Zhao Joe Qin, Tianyou Chai
Unevenly Sampled Dynamic Data Modeling and Monitoring With an Industrial Application. IEEE Trans. Ind. Informatics 13 (5) (2017)
Zhaohui Zhang, Ruilong Deng, Tao Yuan, Si-Zhao Joe Qin
Distributed optimization of multi-building energy systems with spatially and temporally coupled constraints. ACC (2017)
Le Zhou, Gang Li, Zhihuan Song, Si-Zhao Joe Qin
Autoregressive Dynamic Latent Variable Models for Process Monitoring. IEEE Trans. Control. Syst. Technol. 25 (1) (2017)
Jian Tang, Tianyou Chai, Si-Zhao Joe Qin, Zhuo Liu, Wen Yu
Feature selection based on concurrent projection to latent structures for high dimensional spectra data. ICIA (2016)
Ning Sheng, Qiang Liu, Si-Zhao Joe Qin, Tianyou Chai
Comprehensive Monitoring of Nonlinear Processes Based on Concurrent Kernel Projection to Latent Structures. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Yuan Jin, Si-Zhao Joe Qin, Qiang Huang
Prescriptive analytics for understanding of out-of-plane deformation in additive manufacturing. CASE (2016)
Tao Yuan, Gang Li, Zhaohui Zhang, Si-Zhao Joe Qin
Deep causal mining for plant-wide oscillations with multilevel Granger causality analysis. ACC (2016)
Yuan Jin, Si-Zhao Joe Qin, Qiang Huang
Out-of-plane geometric error prediction for additive manufacturing. CASE (2015)
Qiang Liu, Si-Zhao Joe Qin, Tianyou Chai
Multiblock Concurrent PLS for Decentralized Monitoring of Continuous Annealing Processes. IEEE Trans. Ind. Electron. 61 (11) (2014)
Gang Li, Si-Zhao Joe Qin, Tianyou Chai
Multi-directional reconstruction based contributions for root-cause diagnosis of dynamic processes. ACC (2014)
Tianyou Chai, Si-Zhao Joe Qin, Hong Wang
Optimal operational control for complex industrial processes. Annu. Rev. Control. 38 (1) (2014)
Gang Li, Si-Zhao Joe Qin, Donghua Zhou
A New Method of Dynamic Latent-Variable Modeling for Process Monitoring. IEEE Trans. Ind. Electron. 61 (11) (2014)
Tianyou Chai, Hong Wang, Si-Zhao Joe Qin, Tongwen Chen, Sirish L. Shah
Guest Editorial Integrated Optimization of Industrial Automation. IEEE Trans Autom. Sci. Eng. 11 (4) (2014)
Jingran Ma, Si-Zhao Joe Qin, Tim Salsbury
Experimental study of economic model predictive control in building energy systems. ACC (2013)
Tim Salsbury, Prashant Mhaskar, Si-Zhao Joe Qin
Predictive control methods to improve energy efficiency and reduce demand in buildings. Comput. Chem. Eng. 51 (2013)
Qiang Liu, Si-Zhao Joe Qin, Tianyou Chai
Decentralized Fault Diagnosis of Continuous Annealing Processes Based on Multilevel PCA. IEEE Trans Autom. Sci. Eng. 10 (3) (2013)
Zhijie Sun, Si-Zhao Joe Qin, Ashish Singhal, Larry Megan
Control performance monitoring via model residual assessment. ACC (2012)
Si-Zhao Joe Qin
Survey on data-driven industrial process monitoring and diagnosis. Annu. Rev. Control. 36 (2) (2012)
Jingran Ma, Si-Zhao Joe Qin, Tim Salsbury
Model predictive control of building energy systems with balanced model reduction. ACC (2012)
Jian Tang, Lijie Zhao, Yi-miao Li, Tianyou Chai, Si-Zhao Joe Qin
Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters. ISNN (2) (2012)
Ashish Singhal, Si-Zhao Joe Qin
Discussion on: "Post-Optimality Approach to Prevent Cycling in Linear MPC Target Calculation". Eur. J. Control 18 (6) (2012)
Si-Zhao Joe Qin, Yingying Zheng
Concurrent projection to latent structures for output-relevant and input-relevant fault monitoring. CDC (2012)
Yu Zhao, Zhijie Sun, Si-Zhao Joe Qin, Tianyou Chai
Non-stationary Kalman filter parametrization of subspace models with applications to MPC. ACC (2012)
Yefeng Liu, Tianyou Chai, Si-Zhao Joe Qin, Quan-Ke Pan, Shengxiang Yang
Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study. CDC (2012)
Yiwei Cai, Erhan Kutanoglu, John J. Hasenbein, Si-Zhao Joe Qin
Single-machine scheduling with advanced process control constraints. J. Sched. 15 (2) (2012)
Jian Tang, Tianyou Chai, Wen Yu, Lijie Zhao, Si-Zhao Joe Qin
KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling. CDC/ECC (2011)
Zhijie Sun, Yu Zhao, Si-Zhao Joe Qin
Improving industrial mpc performance with data-driven disturbance modeling. CDC/ECC (2011)
Ricardo Dunia, Gary T. Rochelle, Si-Zhao Joe Qin
Modeling CO2 recovery for optimal dynamic operations. CDC/ECC (2011)
Wei Wang, Tianyou Chai, Lijie Zhao, Si-Zhao Joe Qin
Soft sensing of sodium aluminate solution component concentrations via on-line clustering and fuzzy modeling. ACC (2011)
Ricardo Dunia, Gary T. Rochelle, Si-Zhao Joe Qin
Subspace system identification for CO2 recovery processes. CACSD (2011)
Gang Li, Carlos F. Alcala, Si-Zhao Joe Qin, Donghua Zhou
Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis With Application to the Tennessee Eastman Process. IEEE Trans. Control. Syst. Technol. 19 (5) (2011)
Gang Li, Baosheng Liu, Si-Zhao Joe Qin, Donghua Zhou
Quality Relevant Data-Driven Modeling and Monitoring of Multivariate Dynamic Processes: The Dynamic T-PLS Approach. IEEE Trans. Neural Networks 22 (12) (2011)
Qiang Liu, Tianyou Chai, Hong Wang, Si-Zhao Joe Qin
Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes. IEEE Trans. Neural Networks 22 (12) (2011)
Si-Zhao Joe Qin, Yu Zhao, Zhijie Sun, Tao Yuan
Progressive Parametrization in Subspace Identification Models with finite horizons. CDC (2010)
Qiang Liu, Tianyou Chai, Hong Wang, Si-Zhao Joe Qin
Tension soft sensor of continuous annealing lines using cascade frequency domain observer with combined PCA and neural networks error compensation. CDC (2010)
Yingwei Zhang, Hong Zhou, Si-Zhao Joe Qin, Tianyou Chai
Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares. IEEE Trans. Ind. Informatics 6 (1) (2010)
Gang Li, Si-Zhao Joe Qin, Donghua Zhou
Geometric properties of partial least squares for process monitoring. Autom. 46 (1) (2010)
Carlos F. Alcala, Si-Zhao Joe Qin
Reconstruction-based contribution for process monitoring. Autom. 45 (7) (2009)
Gregory A. Cherry, Si-Zhao Joe Qin
Monitoring Non-normal Data with Principal Component Analysis and Adaptive Density Estimation. CDC (2007)
Si-Zhao Joe Qin
Subspace methods for system identification: Tohru Katayama; Springer-Verlag, ISBN: 1-85233-981-0. Autom. 43 (4) (2007)
Jin Wang, Si-Zhao Joe Qin
Closed-loop subspace identification using the parity space. Autom. 42 (2) (2006)
Si-Zhao Joe Qin
An overview of subspace identification. Comput. Chem. Eng. 30 (10-12) (2006)
Si-Zhao Joe Qin, Weilu Lin, Lennart Ljung
A novel subspace identification approach with enforced causal models. Autom. 41 (12) (2005)
D. Wang, D. H. Zhou, Y. H. Jin, Si-Zhao Joe Qin
A strong tracking predictor for nonlinear processes with input time delay. Comput. Chem. Eng. 28 (12) (2004)
Insik Chin, Si-Zhao Joe Qin, Kwang S. Lee, Moonki Cho
A two-stage iterative learning control technique combined with real-time feedback for independent disturbance rejection. Autom. 40 (11) (2004)
Henry G. Potrykus, Frank Allgöwer, Si-Zhao Joe Qin
The Character of an Idempotent-analytic Nonlinear Small Gain Theorem. POSTA (2003)
Josep Maria Mirats i Tur, François E. Cellier, Rafael M. Huber, Si-Zhao Joe Qin
On the selection of variables for qualitative modelling of dynamical systems. Int. J. Gen. Syst. 31 (5) (2002)
Si-Zhao Joe Qin, Guy Borders
A multiregion fuzzy logic controller for nonlinear process control. IEEE Trans. Fuzzy Syst. 2 (1) (1994)