Data-Driven Parameterized Corner Synthesis for Efficient Validation of Perception Systems for Autonomous Driving.
ACM Trans. Cyber Phys. Syst., April, 2023
Synthetic Imagery Data Generation for Training and Testing Deep Learning Models of Object Recognition.
PhD thesis, 2022
Correlated Rare Failure Analysis via Asymptotic Probability Evaluation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Meta-simulation for the Automated Design of Synthetic Overhead Imagery.
CoRR, 2022
Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Intelligent corner synthesis via cycle-consistent generative adversarial networks for efficient validation of autonomous driving systems.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018
Impact of circuit-level non-idealities on vision-based autonomous driving systems.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Efficient Hybrid Performance Modeling for Analog Circuits Using Hierarchical Shrinkage Priors.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016
Efficient statistical analysis for correlated rare failure events via asymptotic probability approximation.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016