{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T16:46:56Z","timestamp":1761324416934,"version":"3.37.3"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Institute of Information and communications Technology Planning and Evaluation","award":["2021-0-01532"],"award-info":[{"award-number":["2021-0-01532"]}]},{"name":"Fundamental Research Grant Scheme","award":["FRGS\/1\/2021\/ICT02\/UTAR\/02\/3"],"award-info":[{"award-number":["FRGS\/1\/2021\/ICT02\/UTAR\/02\/3"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2019H1D3A1A01102607"],"award-info":[{"award-number":["2019H1D3A1A01102607"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Universiti Tunku Abdul Rahman Research Fund UTARRF","award":["IPSR\/RMC\/UTARRF\/2019-C1\/L06"],"award-info":[{"award-number":["IPSR\/RMC\/UTARRF\/2019-C1\/L06"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3138756","type":"journal-article","created":{"date-parts":[[2021,12,27]],"date-time":"2021-12-27T21:01:18Z","timestamp":1640638878000},"page":"169082-169091","source":"Crossref","is-referenced-by-count":10,"title":["DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization"],"prefix":"10.1109","volume":"9","author":[{"given":"Jin-Chuan","family":"See","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4394-2770","authenticated-orcid":false,"given":"Hui-Fuang","family":"Ng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9964-7186","authenticated-orcid":false,"given":"Hung-Khoon","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3447-4856","authenticated-orcid":false,"given":"Jing-Jing","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4659-8979","authenticated-orcid":false,"given":"Wai-Kong","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4240-6255","authenticated-orcid":false,"given":"Seong Oun","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"2021","journal-title":"STM32H743\/753 Microcontroller","key":"ref33"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1016\/j.micpro.2019.102966"},{"year":"2021","journal-title":"Torchvision models—Torchvision 0 11 0 Documentation","key":"ref31"},{"year":"2020","author":"li","journal-title":"APoT quantization","key":"ref30"},{"key":"ref10","article-title":"PACT: Parameterized clipping activation for quantized neural networks","author":"choi","year":"2018","journal-title":"arXiv 1805 06085"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1038\/s42256-021-00356-5"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1007\/978-3-030-68238-5_10"},{"key":"ref13","article-title":"EasyQuant: Post-training quantization via scale optimization","author":"wu","year":"2020","journal-title":"arXiv 2006 16669"},{"key":"ref14","article-title":"Convolutional neural networks using logarithmic data representation","author":"miyashita","year":"2016","journal-title":"arXiv 1603 01025"},{"key":"ref15","first-page":"1","article-title":"Additive powers-of-two quantization: An efficient non-uniform discretization for neural networks","author":"li","year":"2020","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TCSII.2020.3038897"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/ATC.2018.8587580"},{"year":"2017","author":"jacob","journal-title":"gemmlowp a small self-contained low-precision GEMM library","key":"ref18"},{"key":"ref19","article-title":"Integer quantization for deep learning inference: Principles and empirical evaluation","author":"wu","year":"2020","journal-title":"arXiv 2004 09602"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/TCSII.2019.2907974"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.micpro.2021.103910"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/ACCESS.2020.3047144"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/JSEN.2019.2954287"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/TII.2021.3117285"},{"year":"2020","author":"koehler","journal-title":"MNIST Handwritten Digit Recognition in PyTorch","key":"ref29"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.micpro.2021.104321"},{"key":"ref8","first-page":"1","article-title":"Incremental network quantization: Towards less CNNs with low-precision weights","author":"zhou","year":"2017","journal-title":"Proc 5th Int Conf Learn Represent (ICLR)"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TIFS.2019.2946476"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/JIOT.2019.2896120"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1007\/978-3-030-01237-3_23"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/JIOT.2019.2902887"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/ACCESS.2020.3000009"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/ASPDAC.2018.8297303"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/TCSI.2017.2767204"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1145\/3377555.3377900"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1007\/978-3-030-58536-5_5"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/TCAD.2018.2824280"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/CVPR42600.2020.01318"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09663269.pdf?arnumber=9663269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T21:15:50Z","timestamp":1648502150000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9663269\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3138756","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}