{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T08:35:02Z","timestamp":1792917302875,"version":"4.5.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T00:00:00Z","timestamp":1517443200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61774082"],"award-info":[{"award-number":["61774082"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61604068"],"award-info":[{"award-number":["61604068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["021014380065"],"award-info":[{"award-number":["021014380065"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. VLSI Syst."],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1109\/tvlsi.2017.2767624","type":"journal-article","created":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T14:20:00Z","timestamp":1510323600000},"page":"280-293","source":"Crossref","is-referenced-by-count":79,"title":["An Energy-Efficient Architecture for Binary Weight Convolutional Neural Networks"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8704-8290","authenticated-orcid":false,"given":"Yizhi","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongfeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288864"},{"key":"ref4","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs\/1409.1556","author":"Simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref6","article-title":"Identity mappings in deep residual networks","volume":"abs\/1603.05027","author":"He","year":"2016","journal-title":"CoRR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2744769.2744788"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.40"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2872887.2750389"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2742060.2743766"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2016.7527187"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/wcsp.2016.7752720"},{"key":"ref13","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","volume":"abs\/1510.00149","author":"Han","year":"2015","journal-title":"CoRR"},{"key":"ref14","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5 MB model size","volume":"abs\/1602.07360","author":"Iandola","year":"2016","journal-title":"CoRR"},{"key":"ref15","first-page":"1737","article-title":"Deep learning with limited numerical precision","volume-title":"Proc. 32nd Int. Conf. Mach. Learn. (ICML)","author":"Gupta"},{"key":"ref16","first-page":"3123","article-title":"BinaryConnect: Training deep neural networks with binary weights during propagations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Courbariaux"},{"key":"ref17","first-page":"4107","article-title":"Binarized neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hubara"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI.2016.111"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021744"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2009.5272559"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2011.5981829"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.106"},{"key":"ref25","article-title":"Deep neural networks are robust to weight binarization and other non-linear distortions","volume":"abs\/1606.01981","author":"Merolla","year":"2016","journal-title":"CoRR"},{"key":"ref26","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lin"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1049\/el:19980306"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2009.2027626"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2009.2020591"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2004.1274006"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2013.6691108"},{"key":"ref33","article-title":"Binarized neural networks on the ImageNet classification task","volume":"abs\/1604.03058","author":"Wu","year":"2016","journal-title":"CoRR"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966166"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952679"}],"container-title":["IEEE Transactions on Very Large Scale Integration (VLSI) Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/92\/8263418\/08103902.pdf?arnumber=8103902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T07:39:33Z","timestamp":1792913973000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8103902\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2]]},"references-count":35,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvlsi.2017.2767624","relation":{},"ISSN":["1063-8210","1557-9999"],"issn-type":[{"value":"1063-8210","type":"print"},{"value":"1557-9999","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2]]}}}