{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T07:42:12Z","timestamp":1792914132645,"version":"4.5.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"973 Project","award":["2013CB329000"],"award-info":[{"award-number":["2013CB329000"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61373026"],"award-info":[{"award-number":["61373026"]}],"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":["61622403"],"award-info":[{"award-number":["61622403"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004147","name":"Tsinghua University Initiative Scientific Research Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Joint Fund of Equipment Preresearch and Ministry of Education","award":["6141A02022608"],"award-info":[{"award-number":["6141A02022608"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1109\/tcad.2017.2705069","type":"journal-article","created":{"date-parts":[[2017,5,17]],"date-time":"2017-05-17T14:27:20Z","timestamp":1495031240000},"page":"35-47","source":"Crossref","is-referenced-by-count":514,"title":["Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA"],"prefix":"10.1109","volume":"37","author":[{"given":"Kaiyuan","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingzhi","family":"Sui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiantao","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jincheng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junbin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0597-3544","authenticated-orcid":false,"given":"Yu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huazhong","family":"Yang","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. NIPS","author":"Krizhevsky"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs\/1409.1556","author":"Simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref3","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","volume-title":"Proc. 29th Adv. Neural Inf. Process. Syst.","author":"Dai"},{"issue":"1","key":"ref4","first-page":"2287","article-title":"Stereo matching by training a convolutional neural network to compare image patches","volume":"17","author":"\u017dbontar","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-744"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.106"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2684746.2689060"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847265"},{"key":"ref9","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","volume-title":"Proc. NIPS","author":"Han"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2966986.2967011"},{"key":"ref12","article-title":"DNNWEAVER: From high-level deep network models to FPGA acceleration","volume-title":"Proc. Workshop Cogn. Archit.","author":"Sharma"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1602.07360"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299170"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2872887.2750389"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2742060.2743766"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/92.784091"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref25","article-title":"Imagenet: Crowdsourcing, benchmarking & other cool things","volume-title":"Proc. CMU VASC Seminar","author":"Fei-Fei"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1816038.1815993"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2016.7577308"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2011.5981829"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2016.7418007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2016.7418008"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2016.7577315"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.30"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.11"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"},{"key":"ref36","article-title":"DoReFa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients","volume":"abs\/1606.06160","author":"Zhou","year":"2016","journal-title":"CoRR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2898002"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.435"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/43\/8231808\/07930521.pdf?arnumber=7930521","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T07:32:53Z","timestamp":1792913573000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7930521\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":38,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2017.2705069","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"value":"0278-0070","type":"print"},{"value":"1937-4151","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]}}}