| 2025 | WSC | Simulation Optimization and Stochastic Gradients: Theory & Practice. | Michael C. Fu, Jiaqiao Hu, Ilya O. Ryzhov, Enlu Zhou |
| 2024 | WSC | Distortion Risk Measure-Based Deep Reinforcement Learning. | Jinyang Jiang, Bernd Heidergott, Jiaqiao Hu, Yijie Peng |
| 2023 | WSC | Simultaneous Perturbation-Based Stochastic Approximation For Quantile Optimization. | Meichen Song, Jiaqiao Hu, Michael C. Fu |
| 2022 | WSC | Quantile-Based Policy Optimization for Reinforcement Learning. | Jinyang Jiang, Yijie Peng, Jiaqiao Hu |
| 2021 | WSC | Variance Reduction for Generalized Likelihood Ratio Method in Quantile Sensitivity Estimation. | Yijie Peng, Michael C. Fu, Jiaqiao Hu, Pierre L'Ecuyer, Bruno Tuffin |
| 2020 | WSC | Asynchronous Value Iteration for Markov Decision Processes with Continuous State Spaces. | Xiangyu Yang, Jian-Qiang Hu, Jiaqiao Hu, Yijie Peng |
| 2017 | WSC | A two-time-scale adaptive search algorithm for global optimization. | Qi Zhang, Jiaqiao Hu |
| 2016 | WSC | Simulation optimization via promising region search and surrogate model approximation. | Qi Fan, Jiaqiao Hu |
| 2015 | WSC | On the monotonic performance of stochastic kriging predictors. | Bing Wang, Jiaqiao Hu |
| 2013 | WSC | Adaptive simulation budget allocation for determining the best design. | Qi Fan, Jiaqiao Hu |
| 2012 | WSC | Combining gradient-based optimization with stochastic search. | Enlu Zhou, Jiaqiao Hu |
| 2011 | WSC | Discrete optimization via approximate annealing adaptive search with stochastic averaging. | Jiaqiao Hu, Chen Wang |
| 2010 | WSC | An approximate Annealing Search algorithm to global optimization and its connection to stochastic approximation. | Jiaqiao Hu, Ping Hu |
| 2009 | WSC | On the Performance of the Cross-Entropy Method. | Jiaqiao Hu, Ping Hu |
| 2005 | WSC | Stochastic optimization using model reference adaptive search. | Jiaqiao Hu, Michael C. Fu, Steven I. Marcus |