| Do unexpected panic attacks occur spontaneously? AE Meuret, D Rosenfield, FH Wilhelm, E Zhou, A Conrad, T Ritz, WT Roth Biological psychiatry 70 (10), 985-991, 2011 | 112 | 2011 |
| Solving continuous-state POMDPs via density projection E Zhou, MC Fu, SI Marcus IEEE Transactions on Automatic Control 55 (5), 1101-1116, 2010 | 103 | 2010 |
| Toward understanding the importance of noise in training neural networks M Zhou, T Liu, Y Li, D Lin, E Zhou, T Zhao International Conference on Machine Learning, 7594-7602, 2019 | 87 | 2019 |
| The empirical likelihood approach to quantifying uncertainty in sample average approximation H Lam, E Zhou Operations Research Letters 45 (4), 301-307, 2017 | 64 | 2017 |
| Gradient-based adaptive stochastic search for non-differentiable optimization E Zhou, J Hu IEEE Transactions on Automatic Control 59 (7), 1818-1832, 2014 | 64 | 2014 |
| Towards understanding the importance of shortcut connections in residual networks T Liu, M Chen, M Zhou, SS Du, E Zhou, T Zhao Advances in neural information processing systems 32, 2019 | 61 | 2019 |
| Robust ranking and selection with optimal computing budget allocation S Gao, H Xiao, E Zhou, W Chen Automatica 81, 30-36, 2017 | 61 | 2017 |
| Change point analysis for longitudinal physiological data: detection of cardio-respiratory changes preceding panic attacks D Rosenfield, E Zhou, FH Wilhelm, A Conrad, WT Roth, AE Meuret Biological psychology 84 (1), 112-120, 2010 | 61 | 2010 |
| Bayesian optimization of risk measures S Cakmak, R Astudillo Marban, P Frazier, E Zhou Advances in Neural Information Processing Systems 33, 20130-20141, 2020 | 57 | 2020 |
| A survey of some model-based methods for global optimization J Hu, Y Wang, E Zhou, MC Fu, SI Marcus Optimization, Control, and Applications of Stochastic Systems: In Honor of …, 2012 | 49 | 2012 |
| Sequential monte carlo simulated annealing E Zhou, X Chen Journal of Global Optimization 55, 101-124, 2013 | 47 | 2013 |
| A particle filtering framework for randomized optimization algorithms E Zhou, MC Fu, SI Marcus 2008 Winter Simulation Conference, 647-654, 2008 | 42 | 2008 |
| Simulation optimization when facing input uncertainty E Zhou, W Xie 2015 Winter Simulation Conference (WSC), 3714-3724, 2015 | 40 | 2015 |
| Risk quantification in stochastic simulation under input uncertainty H Zhu, T Liu, E Zhou ACM Transactions on Modeling and Computer Simulation (TOMACS) 30 (1), 1-24, 2020 | 39 | 2020 |
| A Bayesian risk approach to data-driven stochastic optimization: Formulations and asymptotics D Wu, H Zhu, E Zhou SIAM Journal on Optimization 28 (2), 1588-1612, 2018 | 38 | 2018 |
| Robust multi-objective bayesian optimization under input noise S Daulton, S Cakmak, M Balandat, MA Osborne, E Zhou, E Bakshy International Conference on Machine Learning, 4831-4866, 2022 | 33 | 2022 |
| Efficient selection of a set of good enough designs with complexity preference S Yan, E Zhou, CH Chen IEEE Transactions on Automation Science and Engineering 9 (3), 596-606, 2012 | 33 | 2012 |
| Quantifying uncertainty in sample average approximation H Lam, E Zhou 2015 Winter Simulation Conference (WSC), 3846-3857, 2015 | 29 | 2015 |
| Weakly coupled dynamic program: Information and lagrangian relaxations F Ye, H Zhu, E Zhou IEEE Transactions on Automatic Control 63 (3), 698-713, 2017 | 26 | 2017 |
| Particle filtering framework for a class of randomized optimization algorithms E Zhou, MC Fu, SI Marcus IEEE Transactions on Automatic Control 59 (4), 1025-1030, 2013 | 23 | 2013 |
Tianyi LiuGeorgia Institute of Technolodgy在 gatech.edu 的电子邮件经过验证
