Search Results for author: Kui Wu

Found 12 papers, 3 papers with code

A Generative Car-following Model Conditioned On Driving Styles

no code implementations10 Dec 2021 Yifan Zhang, Xinhong Chen, JianPing Wang, Zuduo Zheng, Kui Wu

Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades.

Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems

no code implementations20 Oct 2021 Jindi Zhang, Yifan Zhang, Kejie Lu, JianPing Wang, Kui Wu, Xiaohua Jia, Bin Liu

In our study, we use real data sets and the state-of-the-art machine learning model to evaluate our attack detection scheme and the results confirm the effectiveness of our detection method.

Autonomous Driving object-detection +1

On the Difficulty of Generalizing Reinforcement Learning Framework for Combinatorial Optimization

no code implementations8 Aug 2021 Mostafa Pashazadeh, Kui Wu

Combinatorial optimization problems (COPs) on the graph with real-life applications are canonical challenges in Computer Science.

Combinatorial Optimization reinforcement-learning

Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles

1 code implementation6 Aug 2021 Jindi Zhang, Yang Lou, JianPing Wang, Kui Wu, Kejie Lu, Xiaohua Jia

In this paper, we investigate the impact of two primary types of adversarial attacks, perturbation attacks and patch attacks, on the driving safety of vision-based autonomous vehicles rather than the detection precision of deep learning models.

3D Object Detection Autonomous Driving +1

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

no code implementations9 Jun 2021 Yifei Li, Tao Du, Kui Wu, Jie Xu, Wojciech Matusik

This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications.

Addressing the Vulnerability of NMT in Input Perturbations

1 code implementation NAACL 2021 Weiwen Xu, Ai Ti Aw, Yang Ding, Kui Wu, Shafiq Joty

Neural Machine Translation (NMT) has achieved significant breakthrough in performance but is known to suffer vulnerability to input perturbations.

Machine Translation Translation

DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation

no code implementations2 Apr 2021 Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik

The computational design of soft underwater swimmers is challenging because of the high degrees of freedom in soft-body modeling.

DiffPD: Differentiable Projective Dynamics

no code implementations15 Jan 2021 Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik

Inspired by Projective Dynamics (PD), we present Differentiable Projective Dynamics (DiffPD), an efficient differentiable soft-body simulator based on PD with implicit time integration.

Sentiment Aware Neural Machine Translation

no code implementations WS 2019 Chenglei Si, Kui Wu, Ai Ti Aw, Min-Yen Kan

We conducted tests with both sentiment and non-sentiment bearing contexts to examine the effectiveness of our methods.

Machine Translation Translation +1

D3PG: Deep Differentiable Deterministic Policy Gradients

no code implementations25 Sep 2019 Tao Du, Yunfei Li, Jie Xu, Andrew Spielberg, Kui Wu, Daniela Rus, Wojciech Matusik

Over the last decade, two competing control strategies have emerged for solving complex control tasks with high efficacy.

Plug and Play! A Simple, Universal Model for Energy Disaggregation

no code implementations7 Apr 2014 Guoming Tang, Kui Wu, Jing-sheng Lei, Jiuyang Tang

Energy disaggregation is to discover the energy consumption of individual appliances from their aggregated energy values.

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