| Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling A Solomou, G Zhao, S Boluki, JK Joy, X Qian, I Karaman, R Arróyave, ... Materials & Design 160, 810-827, 2018 | 108 | 2018 |
| Uncertainty-aware active learning for optimal Bayesian classifier G Zhao, E Dougherty, BJ Yoon, F Alexander, X Qian International conference on learning representations (ICLR 2021), 2021 | 38 | 2021 |
| Experiment design frameworks for accelerated discovery of targeted materials across scales A Talapatra, S Boluki, P Honarmandi, A Solomou, G Zhao, SF Ghoreishi, ... Frontiers in Materials 6, 82, 2019 | 27 | 2019 |
| Efficient active learning for Gaussian process classification by error reduction G Zhao, E Dougherty, BJ Yoon, F Alexander, X Qian Advances in Neural Information Processing Systems 34, 9734-9746, 2021 | 26 | 2021 |
| Bayesian active learning by soft mean objective cost of uncertainty G Zhao, E Dougherty, BJ Yoon, FJ Alexander, X Qian International Conference on Artificial Intelligence and Statistics, 3970-3978, 2021 | 24 | 2021 |
| Fast exact computation of expected hypervolume improvement G Zhao, R Arróyave, X Qian arXiv preprint arXiv:1812.07692, 2018 | 18 | 2018 |
| Model-based robust filtering and experimental design for stochastic differential equation systems G Zhao, X Qian, BJ Yoon, FJ Alexander, ER Dougherty IEEE Transactions on Signal Processing 68, 3849-3859, 2020 | 17 | 2020 |
| Adaptive activity monitoring with uncertainty quantification in switching Gaussian process models R Ardywibowo, G Zhao, Z Wang, B Mortazavi, S Huang, X Qian The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 12 | 2019 |
| Bayesian Experimental Design Based on Mean Objective Cost of Uncertainty G Zhao | | 2021 |
