| 2025 | AAAI | Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes. | Yifan Lin, Enlu Zhou |
| 2025 | WSC | Simulation Optimization and Stochastic Gradients: Theory & Practice. | Michael C. Fu, Jiaqiao Hu, Ilya O. Ryzhov, Enlu Zhou |
| 2025 | WSC | Nested Denoising Diffusion Sampling for Global Optimization. | Yuhao Wang, Haowei Wang, Enlu Zhou, Szu Hui Ng |
| 2024 | PADS | Data-driven Simulation Optimization in the Age of Digital Twins. | Enlu Zhou |
| 2024 | WSC | Selection of the Best System With an Optimized Continuous Variable. | Yuhao Wang, Seong-Hee Kim, Enlu Zhou |
| 2024 | WSC | Data-Driven Simulation Optimization in the Age of Digital Twins: Challenges and Developments. | Enlu Zhou |
| 2023 | IROS | Cognition Difference-Based Dynamic Trust Network for Distributed Bayesian Data Fusion. | Yingke Li, Ziqiao Zhang, Junkai Wang, Huibo Zhang, Enlu Zhou, Fumin Zhang |
| 2023 | WSC | Reusing Historical Observations in Natural Policy Gradient. | Yifan Lin, Enlu Zhou |
| 2023 | WSC | Input Data Collection Versus Simulation: Simultaneous Resource Allocation. | Yuhao Wang, Enlu Zhou |
| 2022 | AISTATS | Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably. | Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao |
| 2022 | ICML | Robust Multi-Objective Bayesian Optimization Under Input Noise. | Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy |
| 2022 | WSC | Fixed Budget Ranking and Selection with Streaming Input Data. | Yuhao Wang, Enlu Zhou |
| 2021 | AISTATS | Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization. | Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao |
| 2021 | WSC | Contextual Ranking and Selection with Gaussian Processes. | Sait Cakmak, Enlu Zhou, Siyang Gao |
| 2021 | WSC | A Bayesian Approach to Online Simulation Optimization with Streaming Input Data. | Tianyi Liu, Yifan Lin, Enlu Zhou |
| 2021 | WSC | Dynamic Sampling Policy For Subset Selection. | Gongbo Zhang, Yijie Peng, Jianghua Zhang, Enlu Zhou |
| 2020 | WSC | A Nested Simulation Optimization Approach for Portfolio Selection. | Yifan Lin, Enlu Zhou, Aly Megahed |
| 2020 | WSC | Simulation Optimization by Reusing Past Replications: Don't Be Afraid of Dependence. | Tianyi Liu, Enlu Zhou |
| 2019 | ICML | Toward Understanding the Importance of Noise in Training Neural Networks. | Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao |
| 2019 | WSC | Fixed Confidence Ranking and Selection Under Input Uncertainty. | Di Wu, Enlu Zhou |
| 2018 | WSC | Provably Improving the Optimal Computing Budget Allocation Algorithm. | Di Wu, Enlu Zhou |
| 2018 | WSC | Online Quantification of input uncertainty for parametric Models. | Enlu Zhou, Tianyi Liu |
| 2017 | WSC | Ranking and selection under input uncertainty: A budget allocation formulation. | Di Wu, Enlu Zhou |
| 2016 | WSC | Optimal computing budget allocation with input uncertainty. | Siyang Gao, Hui Xiao, Enlu Zhou, Weiwei Chen |
| 2016 | WSC | Preface. | Theresa Roeder, Peter I. Frazier, Roberto Szechtman, Enlu Zhou |
| 2016 | WSC | Optimizing Conditional Value-at-Risk via gradient-based adaptive stochastic search. | Helin Zhu, Joshua Q. Hale, Enlu Zhou |
| 2015 | WSC | A model-based approach to multi-objective optimization. | Joshua Q. Hale, Enlu Zhou |
| 2015 | WSC | Quantifying uncertainty in sample average approximation. | Henry Lam, Enlu Zhou |
| 2015 | WSC | A sequential experiment design for input uncertainty quantification in stochastic simulation. | Yuan Yi, Wei Xie, Enlu Zhou |
| 2015 | WSC | Simulation optimization when facing input uncertainty. | Enlu Zhou, Wei Xie |
| 2015 | WSC | Estimation of conditional value-at-risk for input uncertainty with budget allocation. | Helin Zhu, Enlu Zhou |
| 2014 | WSC | An iterative algorithm for sampling from manifolds. | Chang-han Rhee, Enlu Zhou, Peng Qiu |
| 2014 | WSC | Simulation optimization via gradient-based stochastic search. | Enlu Zhou, Shalabh Bhatnagar, Xi Chen |
| 2013 | WSC | Population model-based optimization with sequential Monte Carlo. | Xi Chen, Enlu Zhou |
| 2013 | WSC | True martingales for upper bounds on Bermudan option prices under jump-diffusion processes. | Helin Zhu, Fan Ye, Enlu Zhou |
| 2012 | WSC | Combining gradient-based optimization with stochastic search. | Enlu Zhou, Jiaqiao Hu |
| 2011 | WSC | Pricing American options under partial observation of stochastic volatility. | Fan Ye, Enlu Zhou |
| 2010 | WSC | Simulation method for solving hybrid influence diagrams in decision making. | Xi Chen, Enlu Zhou |
| 2010 | WSC | Efficient simulation budget allocation for selecting the best set of simplest good enough designs. | Shen Yan, Enlu Zhou, Chun-Hung Chen |
| 2010 | WSC | A new population-based simulated annealing algorithm. | Enlu Zhou, Xi Chen |
| 2009 | WSC | A Numerical Method for Financial Decision Problems under Stochastic Volatility. | Enlu Zhou, Lin Kun, Michael C. Fu, Steven I. Marcus |
| 2008 | WSC | A particle filtering framework for randomized optimization algorithms. | Enlu Zhou, Michael C. Fu, Steven I. Marcus |