| Accelerated evaluation of automated vehicles using piecewise mixture models Z Huang, H Lam, DJ LeBlanc, D Zhao IEEE Transactions on Intelligent Transportation Systems 19 (9), 2845-2855, 2017 | 90 | 2017 |
| Learning-based robust optimization: Procedures and statistical guarantees LJ Hong, Z Huang, H Lam Management Science 67 (6), 3447-3467, 2021 | 47 | 2021 |
| Evaluation of automated vehicles in the frontal cut-in scenario—An enhanced approach using piecewise mixture models Z Huang, D Zhao, H Lam, DJ LeBlanc, H Peng 2017 IEEE International Conference on Robotics and Automation (ICRA), 197-202, 2017 | 37 | 2017 |
| A versatile approach to evaluating and testing automated vehicles based on kernel methods Z Huang, Y Guo, M Arief, H Lam, D Zhao 2018 Annual American Control Conference (ACC), 4796-4802, 2018 | 29 | 2018 |
| Deep probabilistic accelerated evaluation: A robust certifiable rare-event simulation methodology for black-box safety-critical systems M Arief, Z Huang, GKS Kumar, Y Bai, S He, W Ding, H Lam, D Zhao International Conference on Artificial Intelligence and Statistics, 595-603, 2021 | 28 | 2021 |
| Towards affordable on-track testing for autonomous vehicle—A Kriging-based statistical approach Z Huang, H Lam, D Zhao 2017 ieee 20th international conference on intelligent transportation …, 2017 | 24 | 2017 |
| An accelerated testing approach for automated vehicles with background traffic described by joint distributions Z Huang, H Lam, D Zhao 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 22 | 2017 |
| Rare-event simulation for neural network and random forest predictors Y Bai, Z Huang, H Lam, D Zhao ACM Transactions on Modeling and Computer Simulation (TOMACS) 32 (3), 1-33, 2022 | 21 | 2022 |
| Evaluation uncertainty in data-driven self-driving testing Z Huang, M Arief, H Lam, D Zhao 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1902-1907, 2019 | 21 | 2019 |
| Sequential experimentation to efficiently test automated vehicles Z Huang, H Lam, D Zhao 2017 Winter Simulation Conference (WSC), 3078-3089, 2017 | 20 | 2017 |
| Synthesis of different autonomous vehicles test approaches Z Huang, M Arief, H Lam, D Zhao 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 16 | 2018 |
| Approximating data-driven joint chance-constrained programs via uncertainty set construction LJ Hong, Z Huang, H Lam 2016 Winter Simulation Conference (WSC), 389-400, 2016 | 12 | 2016 |
| Designing importance samplers to simulate machine learning predictors via optimization Z Huang, H Lam, D Zhao 2018 Winter Simulation Conference (WSC), 1730-1741, 2018 | 10 | 2018 |
| Accelerated policy evaluation: Learning adversarial environments with adaptive importance sampling M Xu, P Huang, F Li, J Zhu, X Qi, K Oguchi, Z Huang, H Lam, D Zhao arXiv preprint arXiv:2106.10566, 2021 | 9 | 2021 |
| Dynamic congestion pricing for ridesourcing traffic: a simulation optimization approach Q Luo 2019 Winter Simulation Conference (WSC), 2868-2869, 2019 | 8 | 2019 |
| Rare-event simulation without structural information: a learning-based approach Z Huang, H Lam, D Zhao 2018 Winter Simulation Conference (WSC), 1826-1837, 2018 | 8 | 2018 |
| Deep probabilistic accelerated evaluation: A certifiable rare-event simulation methodology for black-box autonomy M Arief, Z Huang, GKS Kumar, Y Bai, S He, W Ding, H Lam, D Zhao arXiv preprint arXiv:2006.15722, 2020 | 7 | 2020 |
| Certifiable deep importance sampling for rare-event simulation of black-box systems M Arief, Y Bai, W Ding, S He, Z Huang, H Lam, D Zhao arXiv preprint arXiv:2111.02204, 2021 | 5 | 2021 |
| Overconservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation Y Bai, Z Huang, H Lam, D Zhao Management Science, 2023 | 4 | 2023 |
| Certifiable evaluation for autonomous vehicle perception systems using deep importance sampling (deep is) M Arief, Z Cen, Z Liu, Z Huang, B Li, H Lam, D Zhao 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
Henry LamColumbia University在 columbia.edu 的电子邮件经过验证
