| Simulation-based algorithms for Markov decision processes HS Chang, J Hu, MC Fu, SI Marcus Springer, 2013 | 340 | 2013 |
| A model reference adaptive search method for global optimization J Hu, MC Fu, SI Marcus Operations research 55 (3), 549-568, 2007 | 229 | 2007 |
| An adaptive sampling algorithm for solving Markov decision processes HS Chang, MC Fu, J Hu, SI Marcus Operations Research 53 (1), 126-139, 2005 | 194 | 2005 |
| A model reference adaptive search method for stochastic global optimization J Hu, MC Fu, SI Marcus | 88 | 2008 |
| Conceptualising consumers’ word-of-mouth behaviour intention: evidence from a university education services in Malaysia HH Chang, DJF Jeng, MRA Hamid Service Business 7, 17-35, 2013 | 72 | 2013 |
| Gradient-based adaptive stochastic search for non-differentiable optimization E Zhou, J Hu IEEE Transactions on Automatic Control 59 (7), 1818-1832, 2014 | 62 | 2014 |
| A stochastic approximation framework for a class of randomized optimization algorithms J Hu, P Hu, HS Chang IEEE Transactions on Automatic Control 57 (1), 165-178, 2011 | 53 | 2011 |
| Google DeepMind's AlphaGo: operations research's unheralded role in the path-breaking achievement. HS Chang, MC Fu, J Hu, SI Marcus Or/Ms Today 43 (5), 24-30, 2016 | 49 | 2016 |
| 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 |
| Model-based randomized methods for global optimization MC Fu, J Hu, SI Marcus Proceedings of the 17th international symposium on mathematical theory of …, 2006 | 45 | 2006 |
| An asymptotically efficient simulation-based algorithm for finite horizon stochastic dynamic programming HS Chang, MC Fu, J Hu, SI Marcus IEEE Transactions on Automatic Control 52 (1), 89-94, 2007 | 43 | 2007 |
| Annealing adaptive search, cross‐entropy, and stochastic approximation in global optimization J Hu, P Hu Naval Research Logistics (NRL) 58 (5), 457-477, 2011 | 34 | 2011 |
| On the performance of the cross-entropy method J Hu, P Hu Proceedings of the 2009 winter simulation conference (WSC), 459-468, 2009 | 31 | 2009 |
| A survey of some simulation-based algorithms for Markov decision processes HS Chang, MC Fu, J Hu, SI Marcus | 30 | 2007 |
| An evolutionary random policy search algorithm for solving Markov decision processes J Hu, MC Fu, VR Ramezani, SI Marcus INFORMS Journal on Computing 19 (2), 161-174, 2007 | 28 | 2007 |
| Optimal computing budget allocation under correlated sampling MC Fu, JQ Hu, CH Chen, X Xiong Proceedings of the 2004 Winter Simulation Conference, 2004. 1, 2004 | 27 | 2004 |
| Adaptive adversarial multi-armed bandit approach to two-person zero-sum Markov games HS Chang, J Hu, MC Fu, SI Marcus IEEE transactions on automatic control 55 (2), 463-468, 2010 | 25 | 2010 |
| Stochastic optimization using model reference adaptive search ME Kuhl, NM Steiger, JA Joines | 23 | 2005 |
| Recursive learning automata approach to Markov decision processes HS Chang, MC Fu, J Hu, SI Marcus IEEE Transactions on Automatic Control 52 (7), 1349-1355, 2007 | 21 | 2007 |
| Surrogate-based promising area search for Lipschitz continuous simulation optimization Q Fan, J Hu INFORMS Journal on Computing 30 (4), 677-693, 2018 | 20 | 2018 |
