13 citations · 38 across the 7 of their papers we have counts for
7 papers
Scenario-Based Test Reduction and Prioritization for Multi-Module Autonomous Driving Systems
Yao Deng, Xi Zheng, Mengshi Zhang +2
When developing autonomous driving systems (ADS), developers often need to replay previously collected driving recordings to check the correctness of newly introduced changes to th…
Boost Distribution System Restoration with Emergency Communication Vehicles Considering Cyber-Physical Interdependence
Zhigang Ye, Chen Chen, Ruihuan Liu +5
Enhancing restoration capabilities of distribution systems is one of the main strategies for resilient power systems to cope with extreme events. However, most of the existing stud…
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
Guannan Lou, Yuze Liu, Tiehua Zhang +1
We present a spatial-temporal federated learning framework for graph neural networks, namely STFL. The framework explores the underlying correlation of the input spatial-temporal d…
Testing of Autonomous Driving Systems: Where Are We and Where Should We Go?
Guannan Lou, Yao Deng, Xi Zheng +2
Autonomous driving has shown great potential to reform modern transportation. Yet its reliability and safety have drawn a lot of attention and concerns. Compared with traditional s…
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
Yao Deng, Tiehua Zhang, Guannan Lou +3
The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to coun…
A Declarative Metamorphic Testing Framework for Autonomous Driving
Yao Deng, Xi Zheng, Tianyi Zhang +4
Autonomous driving has gained much attention from both industry and academia. Currently, Deep Neural Networks (DNNs) are widely used for perception and control in autonomous drivin…
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models
Yao Deng, Xi Zheng, Tianyi Zhang +3
Nowadays, autonomous driving has attracted much attention from both industry and academia. Convolutional neural network (CNN) is a key component in autonomous driving, which is als…