| Integrated parameter and tolerance design with computer experiments M Han, MH Yong Tan IIE Transactions 48 (11), 1004-1015, 2016 | 33 | 2016 |
| Integrated parameter and tolerance optimization of a centrifugal compressor based on a complex simulator M Han, X Liu, M Huang, MHY Tan Journal of Quality Technology 52 (4), 404-421, 2020 | 10 | 2020 |
| Optimal robust and tolerance design for computer experiments with mixture proportion inputs M Han, MHY Tan Quality and Reliability Engineering International 33 (8), 2255-2267, 2017 | 10 | 2017 |
| Survey of FMEA methods with improvement on performance inconsistency L Ouyang, L Yan, M Han, X Gu Quality and Reliability Engineering International 38 (4), 1850-1868, 2022 | 7 | 2022 |
| Simulation optimization using stochastic kriging with robust statistics L Ouyang, M Han, Y Ma, M Wang, C Park Journal of the Operational Research Society, 1-14, 2022 | 5 | 2022 |
| A kriging-based active learning algorithm for contour estimation of integrated response with noise factors M Han, Q Huang, L Ouyang, X Zhao Engineering with Computers 39, 1341-1362, 2023 | 4 | 2023 |
| Combined Reinforcement Learning and Mixed Integer Programming for Hydrogen Based Microgrid Operation B Li, M Han, J Li Annual Conference of China Electrotechnical Society, 425-432, 2023 | 2 | 2023 |
| A novel Bayesian approach for multi-objective stochastic simulation optimization M Han, L Ouyang Swarm and Evolutionary Computation 75, 101192, 2022 | 2 | 2022 |
| Robust functional response-based metamodel optimization considering both location and dispersion effects for aeronautical airfoil designs M Han, L Ouyang Structural and Multidisciplinary Optimization 64 (3), 1545-1565, 2021 | 2 | 2021 |
| Fast L2 Calibration for Inexact Highway Traffic Flow Systems J Huang, Y Wang, M Han Electronics 11 (22), 3710, 2022 | 1 | 2022 |
| Bayesian optimization considering constrained boundary exploration F Jia, M Han 2023 4th International Conference on Big Data & Artificial Intelligence …, 2023 | | 2023 |
| Multi-objective optimization of robust parameter design based on Gaussian process model Y Fu, M Han 2023 4th International Conference on Big Data & Artificial Intelligence …, 2023 | | 2023 |
| Bayesian optimization for robust engineering design with noise factors C Ying, M Han 2022 International Conference on Cloud Computing, Big Data Applications and …, 2023 | | 2023 |
| Efficient Bayesian optimization of bounded general loss function for robust parameter design Y Chen, M Han Int. J. of Industrial and Systems Engineering, 2022 | | 2022 |
