| Techno-economic evaluation of a hybrid fuel cell vehicle with on-board MeOH-to-H2 processor W Wu, BN Chuang, JJ Hwang, CK Lin, SB Yang Applied energy 238, 401-412, 2019 | 19 | 2019 |
| Rigorous design and optimization of methyl glycolate production process through reactive distillation combined with a middle dividing-wall column SB Yang, IL Chien Industrial & Engineering Chemistry Research 58 (13), 5215-5227, 2019 | 15 | 2019 |
| Design, modeling, and optimization of a lightweight MeOH-to-H2 processor W Wu, SB Yang, JJ Hwang, X Zhou international journal of hydrogen energy 43 (31), 14451-14465, 2018 | 15 | 2018 |
| Predicting crude oil properties using fourier-transform infrared spectroscopy (FTIR) and data-driven methods SB Yang, J Moreira, Z Li Digital Chemical Engineering 3, 100031, 2022 | 9 | 2022 |
| Exergy-based modular design of an on-board MeOH-to-H2 processor for fuel cell vehicles W Wu, KB Liew, S Abbas, MA Raza, JJ Hwang, SB Yang, Z Li international journal of hydrogen energy 45 (38), 19880-19890, 2020 | 9 | 2020 |
| Kernel distributionally robust chance-constrained process optimization SB Yang, Z Li Computers & Chemical Engineering 165, 107953, 2022 | 6 | 2022 |
| A recurrent neural network-based approach for joint chance constrained stochastic optimal control SB Yang, Z Li, J Moreira Journal of Process Control 116, 209-220, 2022 | 5 | 2022 |
| Data-driven process optimization considering surrogate model prediction uncertainty: A mixture density network-based approach SB Yang, Z Li, W Wu Industrial & Engineering Chemistry Research 60 (5), 2206-2222, 2021 | 5 | 2021 |
| Distributionally robust chance‐constrained optimization with Sinkhorn ambiguity set SB Yang, Z Li AIChE Journal 69 (10), e18177, 2023 | 3 | 2023 |
| Optimization of a multi-tube annular membrane methanol reformer for fuel cell-powered vehicles W Wu, SB Yang, BN Chuang, B Shi Energy Procedia 152, 661-666, 2018 | 2 | 2018 |
| Data-driven distributionally robust chance-constrained optimization with large data set and outliers: Sequential sample removal algorithm for solution improvement SB Yang, S Kammammettu, Z Li Computers & Chemical Engineering 179, 108407, 2023 | 1 | 2023 |
| Recurrent Neural Network-Based Joint Chance Constrained Stochastic Model Predictive Control SB Yang, Z Li IFAC-PapersOnLine 55 (7), 780-785, 2022 | 1 | 2022 |
| Distributionally robust chance-constrained optimization with Gaussian mixture ambiguity set S Kammammettu, SB Yang, Z Li Computers & Chemical Engineering, 108703, 2024 | | 2024 |
| Entropic Regularization for Wasserstein Distributionally Robust Chance-Constrained Process Optimization SB Yang, Z Li 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Bioinspired Encoder–Decoder Recurrent Neural Network with Attention for Hydroprocessing Unit Modeling SB Yang, J Moreira, Z Li Industrial & Engineering Chemistry Research 62 (44), 18526-18540, 2023 | | 2023 |
| Distributionally robust optimization using optimal transport for Gaussian mixture models S Kammammettu, SB Yang, Z Li Optimization and Engineering, 1-26, 2023 | | 2023 |
| Data-Driven Optimization under Uncertainty SB Yang | | 2023 |
| Deep Kernel Distributionally Robust Joint Chance-Constrained Process Optimization SB Yang, Z Li 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Distributionally Robust Chance-Constrained Optimization with Deep Kernel Ambiguity Set SB Yang, Z Li 2022 IEEE International Symposium on Advanced Control of Industrial …, 2022 | | 2022 |
| Joint Chance Constrained Process Optimization through Neural Network Approximation SB Yang, J Moreira, Z Li Computer Aided Chemical Engineering 49, 1237-1242, 2022 | | 2022 |
Zukui LiProfessor, University of Alberta在 ualberta.ca 的電子郵件地址已通過驗證
