activity
20142020
most citedDeepRoad: GAN-based Metamorphic Autonomous Driving System Testing

62 citations · 122 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2020

Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference

Zhongnan Qu, Cong Liu, Lothar Thiele

Emerging edge intelligence applications require the server to retrain and update deep neural networks deployed on remote edge nodes to leverage newly collected data samples. Unfort…

cs.DC2020★ 1 cited

Co-Optimizing Performance and Memory FootprintVia Integrated CPU/GPU Memory Management, anImplementation on Autonomous Driving Platform

Soroush Bateni, Zhendong Wang, Yuankun Zhu +2

Cutting-edge embedded system applications, such as self-driving cars and unmanned drone software, are reliant on integrated CPU/GPU platforms for their DNNs-driven workload, such a…

cs.CV2019★ 4 cited

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

Zelun Kong, Junfeng Guo, Ang Li +1

Although Deep neural networks (DNNs) are being pervasively used in vision-based autonomous driving systems, they are found vulnerable to adversarial attacks where small-magnitude p…

cs.SE2019★ 7 cited

Characterizing and Detecting CUDA Program Bugs

Mingyuan Wu, Husheng Zhou, Lingming Zhang +2

While CUDA has become a major parallel computing platform and programming model for general-purpose GPU computing, CUDA-induced bug patterns have not yet been well explored. In thi…

cs.CV2018★ 41 cited

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems

Husheng Zhou, Wei Li, Yuankun Zhu +4

Deep Neural Networks (DNNs) have been widely applied in many autonomous systems such as autonomous driving. Recently, DNN testing has been intensively studied to automatically gene…

cs.SE2018★ 62 cited

DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing

Mengshi Zhang, Yuqun Zhang, Lingming Zhang +2

While Deep Neural Networks (DNNs) have established the fundamentals of DNN-based autonomous driving systems, they may exhibit erroneous behaviors and cause fatal accidents. To reso…

cs.SI2017★ 5 cited

An Efficient Randomized Algorithm for Rumor Blocking in Online Social Networks

Guangmo Tong, Weili Wu, Ling Guo +4

Social networks allow rapid spread of ideas and innovations while the negative information can also propagate widely. When the cascades with different opinions reaching the same us…

cs.SI2016★ 1 cited

Terminal-Set-Enhanced Community Detection in Social Networks

G. Tong, L. Cui, W. Wu +2

Community detection aims to reveal the community structure in a social network, which is one of the fundamental problems. In this paper we investigate the community detection probl…

cs.OH2014★ 1 cited

Supporting Read/Write Applications in Embedded Real-time Systems via Suspension-aware Analysis

Guangmo Tong, Cong Liu

In many embedded real-time systems, applications often interact with I/O devices via read/write operations, which may incur considerable suspension delays. Unfortunately, prior ana…

cs.OS2014

Supporting Soft Real-Time Sporadic Task Systems on Heterogeneous Multiprocessors with No Utilization Loss

Guangmo Tong, Cong Liu

Heterogeneous multicore architectures are becoming increasingly popular due to their potential of achieving high performance and energy efficiency compared to the homogeneous multi…