{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:28:12Z","timestamp":1768523292666,"version":"3.49.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100004358","name":"Samsung","doi-asserted-by":"publisher","award":["SRFC-TB1703-07"],"award-info":[{"award-number":["SRFC-TB1703-07"]}],"id":[{"id":"10.13039\/100004358","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Emerg. Sel. Topics Circuits Syst."],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/jetcas.2019.2952137","type":"journal-article","created":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T20:50:32Z","timestamp":1573159832000},"page":"735-746","source":"Crossref","is-referenced-by-count":22,"title":["Memory-Reduced Network Stacking for Edge-Level CNN Architecture With Structured Weight Pruning"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7723-0419","authenticated-orcid":false,"given":"Seungsik","family":"Moon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1899-6259","authenticated-orcid":false,"given":"Younghoon","family":"Byun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3746-4760","authenticated-orcid":false,"given":"Jongmin","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3858-0779","authenticated-orcid":false,"given":"Sunggu","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2467-8276","authenticated-orcid":false,"given":"Youngjoo","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2018.2846698"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref33","article-title":"DSD: Regularizing deep neural networks with dense-sparse-dense training flow","volume":"3","author":"han","year":"2016","journal-title":"arXiv 1607 04381"},{"key":"ref32","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref31","first-page":"4350","article-title":"Learning to quantize deep networks by optimizing quantization intervals with task loss","author":"jung","year":"2019","journal-title":"Proc Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref30","year":"2019","journal-title":"Tiny Imagenet Challenge"},{"key":"ref37","article-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","author":"frankle","year":"2018","journal-title":"arXiv 1803 03635"},{"key":"ref36","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref34","article-title":"SqueezeNet: Alexnet-level accuracy with 50x fewer parameters and < 0.5 MB model size","author":"iandola","year":"2016","journal-title":"arXiv 1602 07360"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-27272-2_2"},{"key":"ref40","year":"2019","journal-title":"DE5-Net FPGA Development Kit"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7927211"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2869150"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2857078"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2018.2865896"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477614"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2019.8715280"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2019.2936756"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2934583.2934626"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852335"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD.2013.6657019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/AICAS.2019.8771492"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2017.2735490"},{"key":"ref6","article-title":"Regularized evolution for image classifier architecture search","author":"real","year":"2018","journal-title":"arXiv 1802 01548"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178146"},{"key":"ref5","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref7","first-page":"1","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2865489"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref20","first-page":"130","article-title":"An 11.5 TOPS\/W 1024-MAC butterfly structure dual-core sparsity-aware neural processing unit in 8 nm flagship mobile SoC","author":"song","year":"2019","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref22","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2015","journal-title":"arXiv 1510 00149 [cs]"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2881913"},{"key":"ref42","first-page":"205","article-title":"FPGA-based sparsity-aware CNN accelerator for noise-resilient edge-level image recognition","author":"moon","year":"2019","journal-title":"Proc Asian Solid-State Circuits Conf"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2012.6237004"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref26","year":"2019","journal-title":"CS231n Convolutional Neural Networks for Visual Recognition"},{"key":"ref25","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"}],"container-title":["IEEE Journal on Emerging and Selected Topics in Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5503868\/8924856\/08894142.pdf?arnumber=8894142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:55:02Z","timestamp":1657745702000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8894142\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":42,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jetcas.2019.2952137","relation":{},"ISSN":["2156-3357","2156-3365"],"issn-type":[{"value":"2156-3357","type":"print"},{"value":"2156-3365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12]]}}}