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ORCIDLeo H. Chiang
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2020 – today
- 2024
[c8]Ivan Castillo, Zhenyu Wang, Leo H. Chiang:
Prognostics for Chemical Processes. ACC 2024: 769- 2022
- [j9]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: 107836 (2022) - [c7]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: 4323-4328 - 2021
- [j8]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: 107365 (2021) - [j7]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: 107451 (2021) - [c6]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: 2581-2586 - 2020
- [c5]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: 2760-2765
2010 – 2019
- 2019
- [j6]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: 99-110 (2019) - [j5]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: 1-13 (2019) - [j4]Si-Zhao Joe Qin, Leo H. Chiang:
Advances and opportunities in machine learning for process data analytics. Comput. Chem. Eng. 126: 465-473 (2019) - [j3]Zhenyu Wang, Leo H. Chiang:
Monitoring Chemical Processes Using Judicious Fusion of Multi-Rate Sensor Data. Sensors 19(10): 2240 (2019) - 2017
- [j2]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: 5-14 (2017) - [c4]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: 3078-3083 - [c3]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: 6177-6182
2000 – 2009
- 2006
- [c2]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: 3106-3113 - 2004
- [j1]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): 1389-1401 (2004) - [c1]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: 522-531
Coauthor Index
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