Zhiyuan Huang
Zhiyuan Huang
在 umich.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
292017
Learning-based robust optimization: Procedures and statistical guarantees
LJ Hong, Z Huang, H Lam
arXiv preprint arXiv:1704.04342, 2017
112017
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
102017
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
82017
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
82016
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
72018
Sequential experimentation to efficiently test automated vehicles
Z Huang, H Lam, D Zhao
2017 Winter Simulation Conference (WSC), 3078-3089, 2017
62017
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
52017
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
32019
Synthesis of different autonomous vehicles test approaches
Z Huang, M Arief, H Lam, D Zhao
2018 21st International Conference on Intelligent Transportation Systems …, 2018
12018
Using the Piecewise Mixture Model to Evaluate Automated Vehicles in the Frontal Cut-in Scenario
Z Huang, D Zhao, H Lam, DJ LeBlanc, H Peng
Ann Arbor 1001, 48109, 2016
12016
A Distributionally Robust Optimization Approach to the NASA Langley Uncertainty Quantification Challenge
Y Bai, Z Huang, H Lam
arXiv preprint arXiv:2006.15689, 2020
2020
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
2020
On the impacts of tail model uncertainty in rare-event estimation
Z Huang, H Lam
2019 Winter Simulation Conference (WSC), 950-961, 2019
2019
Dynamic congestion pricing for ridesourcing traffic: a simulation optimization approach
Q Luo
2019 Winter Simulation Conference (WSC), 2868-2869, 2019
2019
Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation.
Z Huang, M Arief, H Lam, D Zhao
CoRR, 2019
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
2018
Designing importance samplers to simulate machine learning predictors via optimization
Z Huang, H Lam, D Zhao
2018 Winter Simulation Conference (WSC), 1730-1741, 2018
2018
Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models
Z Huang, D Zhao, H Lam, DJ LeBlanc, H Peng
Ann Arbor 1001, 48109, 2016
2016
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