| Development of robust and physically interpretable soft sensor for industrial distillation column using transfer learning with small datasets YD Hsiao, JL Kang, DSH Wong Processes 9 (4), 667, 2021 | 34 | 2021 |
| Expandable neural networks for efficient modeling of various amine scrubbing configurations for CO2 capture YD Hsiao, CT Chang Chemical Engineering Science 281, 119191, 2023 | 4 | 2023 |
| Joint incremental learning network for flexible modeling of carbon dioxide solubility in aqueous mixtures of amines YD Hsiao, CT Chang Separation and Purification Technology 330, 125299, 2024 | 3 | 2024 |
| Progressive learning for surrogate modeling of amine scrubbing CO2 capture processes YD Hsiao, CT Chang Chemical Engineering Research and Design 194, 653-665, 2023 | 3 | 2023 |
| A novel semi-empirical kinetic model for predicting softening points of pitch precursors and its application to process optimization YD Hsiao, HY Yen Fuel 380, 133144, 2025 | | 2025 |
| Efficient multi-objective optimization and operational analysis of amine scrubbing CO2 capture process with artificial neural network YD Hsiao, CT Chang International Journal of Greenhouse Gas Control 138, 104242, 2024 | | 2024 |
| PHYSICALLY CONSISTENT DATA-DRIVEN SOFT-SENSOR DEVELOPMENT YD Hsiao, CH Chou, H Wu, J Kang, DSH Wong, Y Yao, YC Chuang, ... | | |
