| Simulation optimization: a tutorial overview and recent developments in gradient-based methods M Chau, MC Fu, H Qu, IO Ryzhov Proceedings of the winter simulation conference 2014, 21-35, 2014 | 78 | 2014 |
| Sequential selection with unknown correlation structures H Qu, IO Ryzhov, MC Fu, Z Ding Operations Research 63 (4), 931-948, 2015 | 41 | 2015 |
| Gradient extrapolated stochastic kriging H Qu, MC Fu ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (4), 1-25, 2014 | 38 | 2014 |
| Ranking and selection with unknown correlation structures H Qu, IO Ryzhov, MC Fu Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 28 | 2012 |
| Learning logistic demand curves in business-to-business pricing H Qu, IO Ryzhov, MC Fu 2013 Winter Simulations Conference (WSC), 29-40, 2013 | 17 | 2013 |
| Regression models augmented with direct stochastic gradient estimators MC Fu, H Qu INFORMS Journal on Computing 26 (3), 484-499, 2014 | 13* | 2014 |
| Learning demand curves in B2B pricing: A new framework and case study H Qu, IO Ryzhov, MC Fu, E Bergerson, M Kurka, L Kopacek Production and Operations Management 29 (5), 1287-1306, 2020 | 12* | 2020 |
| A new hybrid stochastic approximation algorithm M Chau, H Qu, MC Fu IFAC Proceedings Volumes 47 (2), 241-246, 2014 | 9 | 2014 |
| On direct gradient enhanced simulation metamodels H Qu, MC Fu Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012 | 7 | 2012 |
| An empirical sensitivity analysis of the Kiefer-Wolfowitz algorithm and its variants M Chau, H Qu, MC Fu, IO Ryzhov 2013 Winter Simulations Conference (WSC), 945-956, 2013 | 3 | 2013 |
| Systems and methods for optimal bidding in a business to business environment E Bergerson, M Kurka, H Qu, IO Ryzhov, MC Fu US Patent App. 17/189,735, 2021 | 1 | 2021 |
| Systems and methods for optimal bidding in a business to business environment E Bergerson, M Kurka, H Qu, IO Ryzhov, MC Fu US Patent 10,937,087, 2021 | | 2021 |
| Systems and methods for optimal bidding in a business to business environment E Bergerson, M Kurka, H Qu, IO Ryzhov, MC Fu US Patent 10,417,699, 2019 | | 2019 |
| Simulation Optimization: New Methods and An Application H Qu | | 2014 |
