Leo H. Chiang

18 papers A 1B 1C 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
The incorporation of qualitative knowledge in hybrid modeling.
Comput. Chem. Eng.
Elia Arnese-Feffin, Nidhish Sagar, Luis A. Briceno-Mena, Birgit Braun, Ivan Castillo, Caterina Rizzo, Linh Bui, Jinsuo Xu, Leo H. Chiang, Richard D. Braatz
2024 C conf
Prognostics for Chemical Processes.
ACC
Ivan Castillo, Zhenyu Wang, Leo H. Chiang
2022 J jnl
Contamination classification for pellet quality inspection using deep learning.
Comput. Chem. Eng.
You Peng, Birgit Braun, Casey McAlpin, Michael Broadway, Brenda Colegrove, Leo H. Chiang
2022 C conf
Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms.
ACC
Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo R. Rendall, Birgit Braun, Leo H. Chiang, Marco S. Reis
2021 J jnl
Integration of process knowledge and statistical learning for the Dow data challenge problem.
Comput. Chem. Eng.
Si-Zhao Joe Qin, Siyi Guo, Zheyu Li, Leo H. Chiang, Ivan Castillo, Birgit Braun, Zhenyu Wang
2021 J jnl
Recent trends on hybrid modeling for Industry 4.0.
Comput. Chem. Eng.
Joel Sansana, Mark N. Joswiak, Ivan Castillo, Zhenyu Wang, Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
2021 C conf
Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model.
ACC
Yan Ma, Zhenyu Wang, Ivan Castillo, Ricardo R. Rendall, Rahul Bindlish, Brian Ashcraft, David Bentley, Michael G. Benton, José A. Romagnoli, Leo H. Chiang
2020 C conf
Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path.
ACC
Xiaodong Xu, Jodie M. Simkoff, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, Brian Ashcraft
2019 J jnl
Advances and opportunities in machine learning for process data analytics.
Comput. Chem. Eng.
Si-Zhao Joe Qin, Leo H. Chiang
2019 J jnl
Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale.
Comput. Chem. Eng.
Ricardo R. Rendall, Leo H. Chiang, Marco S. Reis
2019 J jnl
Monitoring Chemical Processes Using Judicious Fusion of Multi-Rate Sensor Data.
Sensors
Zhenyu Wang, Leo H. Chiang
2019 J jnl
Wide spectrum feature selection (WiSe) for regression model building.
Comput. Chem. Eng.
Ricardo R. Rendall, Ivan Castillo, Alix Schmidt, Swee-Teng Chin, Leo H. Chiang, Marco S. Reis
2017 J jnl
Autocovariance-based plant-model mismatch estimation for linear model predictive control.
Syst. Control. Lett.
Siyun Wang, Jodie M. Simkoff, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley
2017 C conf
Plant-model mismatch estimation in unconstrained state-space MPC.
ACC
Jodie M. Simkoff, Siyun Wang, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley
2017 — conf
Plant-model mismatch evaluation for unconstrained MPC with state estimation.
CDC
Jodie M. Simkoff, Siyun Wang, Michael Baldea, Leo H. Chiang, Ivan Castillo, Rahul Bindlish, David B. Stanley
2006 B conf
Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications.
IEEE Congress on Evolutionary Computation
Arthur K. Kordon, Guido Smits, Elsa M. Jordaan, Alex N. Kalos, Flor A. Castillo, Leo H. Chiang
2004 J jnl
Fault diagnosis based on Fisher discriminant analysis and support vector machines.
Comput. Chem. Eng.
Leo H. Chiang, Mark E. Kotanchek, Arthur K. Kordon
2004 A conf
Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming.
PPSN
Elsa M. Jordaan, Arthur K. Kordon, Leo H. Chiang, Guido Smits