Leo H. Chiang

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 12

Top Topics

Supervised Feature Selection

Machine Learning

Top Venues

Comput. Chem. Eng.

Syst. Control. Lett.

Publications

Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo R. Rendall, Birgit Braun, Leo H. Chiang, Marco S. Reis
Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms. ACC (2022)
You Peng, Birgit Braun, Casey McAlpin, Michael Broadway, Brenda Colegrove, Leo H. Chiang
Contamination classification for pellet quality inspection using deep learning. Comput. Chem. Eng. 163 (2022)
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)
Joel Sansana, Mark N. Joswiak, Ivan Castillo, Zhenyu Wang, Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
Recent trends on hybrid modeling for Industry 4.0. Comput. Chem. Eng. 151 (2021)
Yan Ma, Zhenyu Wang, Ivan Castillo, Ricardo R. Rendall, Rahul Bindlish, Brian Ashcraft, David Bentley, Michael G. Benton, José A. Romagnoli, Leo H. Chiang
Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model. ACC (2021)
Xiaodong Xu, Jodie M. Simkoff, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, Brian Ashcraft
Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path. ACC (2020)
Ricardo R. Rendall, Ivan Castillo, Alix Schmidt, Swee-Teng Chin, Leo H. Chiang, Marco S. Reis
Wide spectrum feature selection (WiSe) for regression model building. Comput. Chem. Eng. 121 (2019)
Si-Zhao Joe Qin, Leo H. Chiang
Advances and opportunities in machine learning for process data analytics. Comput. Chem. Eng. 126 (2019)
Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale. Comput. Chem. Eng. 124 (2019)
Jodie M. Simkoff, Siyun Wang, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley
Plant-model mismatch estimation in unconstrained state-space MPC. ACC (2017)
Jodie M. Simkoff, Siyun Wang, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley
Plant-model mismatch evaluation for unconstrained MPC with state estimation. CDC (2017)
Siyun Wang, Jodie M. Simkoff, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley
Autocovariance-based plant-model mismatch estimation for linear model predictive control. Syst. Control. Lett. 104 (2017)
Arthur K. Kordon, Guido Smits, Elsa M. Jordaan, Alex N. Kalos, Flor A. Castillo, Leo H. Chiang
Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications. IEEE Congress on Evolutionary Computation (2006)
Leo H. Chiang, Mark E. Kotanchek, Arthur K. Kordon
Fault diagnosis based on Fisher discriminant analysis and support vector machines. Comput. Chem. Eng. 28 (8) (2004)
Elsa M. Jordaan, Arthur K. Kordon, Leo H. Chiang, Guido Smits
Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming. PPSN (2004)