| Surrogate-based promising area search for Lipschitz continuous simulation optimization Q Fan, J Hu INFORMS Journal on Computing 30 (4), 677-693, 2018 | 19 | 2018 |
| Model-based annealing random search with stochastic averaging J Hu, E Zhou, Q Fan ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (4), 1-23, 2014 | 17 | 2014 |
| Simulation optimization via promising region search and surrogate model approximation Q Fan, J Hu 2016 Winter Simulation Conference (WSC), 649-658, 2016 | 4 | 2016 |
| Adaptive simulation budget allocation for determining the best design Q Fan, J Hu 2013 Winter Simulations Conference (WSC), 888-897, 2013 | 2 | 2013 |
| Empirical tail risk management with model-based annealing random search Q Fan, KS Tan, J Zhang Insurance: Mathematics and Economics 110, 106-124, 2023 | 1 | 2023 |
| Aumann–Serrano index of risk in portfolio optimization T Li, YS Kim, Q Fan, F Zhu Mathematical Methods of Operations Research 94 (2), 197-217, 2021 | 1 | 2021 |
| Adaptive Search Algorithms for Simulation Optimization in Discrete and Continuous Domains Q Fan State University of New York at Stony Brook, 2017 | | 2017 |
