Search Results for author: Zhenyuan Liu

Found 3 papers, 0 papers with code

Hierarchical-level rain image generative model based on GAN

no code implementations6 Sep 2023 Zhenyuan Liu, Tong Jia, Xingyu Xing, Jianfeng Wu, Junyi Chen

RCCycleGAN is based on the generative adversarial network (GAN) and can generate images of light, medium, and heavy rain.

Autonomous Vehicles Generative Adversarial Network +1

Smoothed $f$-Divergence Distributionally Robust Optimization

no code implementations24 Jun 2023 Zhenyuan Liu, Bart P. G. Van Parys, Henry Lam

In data-driven optimization, sample average approximation (SAA) is known to suffer from the so-called optimizer's curse that causes an over-optimistic evaluation of the solution performance.

Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling

no code implementations4 Apr 2022 Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuang Huang, Henry Lam, Bo Li, Ding Zhao

In this work, we present Deep Importance Sampling (Deep IS) framework that utilizes a deep neural network to obtain an efficient IS that is on par with the state-of-the-art, capable of reducing the required sample size 43 times smaller than the naive sampling method to achieve 10% relative error and while producing an estimate that is much less conservative.

Autonomous Vehicles

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