<?xml version="1.0" encoding="US-ASCII"?>
<dblp>
<inproceedings key="conf/ispa/QinRYWG0FFW18" mdate="2024-09-16">
<author>Qing Qin</author>
<author>Jie Ren 0007</author>
<author>Jialong Yu</author>
<author>Hai Wang 0010</author>
<author>Ling Gao</author>
<author>Jie Zheng 0005</author>
<author>Yansong Feng 0002</author>
<author>Jianbin Fang</author>
<author orcid="0000-0001-6157-0662">Zheng Wang 0001</author>
<title>To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference.</title>
<pages>729-736</pages>
<year>2018</year>
<booktitle>ISPA/IUCC/BDCloud/SocialCom/SustainCom</booktitle>
<ee>https://doi.org/10.1109/BDCloud.2018.00110</ee>
<crossref>conf/ispa/2018</crossref>
<url>db/conf/ispa/ispa2018.html#QinRYWG0FFW18</url>
</inproceedings>
</dblp>
