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Zhiyuan Huang
Zhiyuan Huang
Tongji University
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
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
892017
Learning-based robust optimization: Procedures and statistical guarantees
LJ Hong, Z Huang, H Lam
Management Science 67 (6), 3447-3467, 2021
462021
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
372017
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
272021
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
272018
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
232017
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
222019
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
212017
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
192022
Sequential experimentation to efficiently test automated vehicles
Z Huang, H Lam, D Zhao
2017 Winter Simulation Conference (WSC), 3078-3089, 2017
192017
Synthesis of different autonomous vehicles test approaches
Z Huang, M Arief, H Lam, D Zhao
2018 21st International Conference on Intelligent Transportation Systems …, 2018
162018
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
122016
Designing importance samplers to simulate machine learning predictors via optimization
Z Huang, H Lam, D Zhao
2018 Winter Simulation Conference (WSC), 1730-1741, 2018
102018
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 e-prints, arXiv: 2106.10566, 2021
92021
Rare-event simulation without structural information: a learning-based approach
Z Huang, H Lam, D Zhao
2018 Winter Simulation Conference (WSC), 1826-1837, 2018
82018
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
72020
Dynamic congestion pricing for ridesourcing traffic: a simulation optimization approach
Q Luo
2019 Winter Simulation Conference (WSC), 2868-2869, 2019
72019
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
52021
A distributionally robust optimization approach to the nasa langley uncertainty quantification challenge
Y Bai, Z Huang, H Lam
arXiv preprint arXiv:2006.15689, 2020
52020
Overconservativeness of Variance-Based Efficiency Criteria and Probabilistic Efficiency in Rare-Event Simulation
Y Bai, Z Huang, H Lam, D Zhao
Management Science, 2023
42023
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