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20182020
most citedDeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems

41 citations · 107 across the 14 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

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.OH2018

OpenMPL: An Open Source Layout Decomposer

Wei Li, Yuzhe Ma, Qi Sun +4

Multiple patterning lithography has been widely adopted in advanced technology nodes of VLSI manufacturing. As a key step in the design flow, multiple patterning layout decompositi…

cs.CV2018★ 12 cited

DAC-SDC Low Power Object Detection Challenge for UAV Applications

Xiaowei Xu, Xinyi Zhang, Bei Yu +4

The 55th Design Automation Conference (DAC) held its first System Design Contest (SDC) in 2018. SDC'18 features a lower power object detection challenge (LPODC) on designing and im…

cs.LG2018★ 2 cited

Recent Advances in Convolutional Neural Network Acceleration

Qianru Zhang, Meng Zhang, Tinghuan Chen +3

In recent years, convolutional neural networks (CNNs) have shown great performance in various fields such as image classification, pattern recognition, and multi-media compression.…

cs.LG2018★ 5 cited

Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning

Haoyu Yang, Shuhe Li, Cyrus Tabery +2

Layout hotpot detection is one of the main steps in modern VLSI design. A typical hotspot detection flow is extremely time consuming due to the computationally expensive mask optim…

cs.LG2018★ 2 cited

A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks

Yuzhe Ma, Ran Chen, Wei Li +4

Deep neural networks (DNNs) have achieved significant success in a variety of real world applications, i.e., image classification. However, tons of parameters in the networks restr…