{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T05:19:01Z","timestamp":1787807941638,"version":"build-2784847793"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Science and Technology Planning Project of Guangzhou","award":["2023B01J0007"],"award-info":[{"award-number":["2023B01J0007"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation","doi-asserted-by":"crossref","award":["62301165"],"award-info":[{"award-number":["62301165"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. VLSI Syst."],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1109\/tvlsi.2026.3705608","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T19:48:42Z","timestamp":1782503322000},"page":"2976-2988","source":"Crossref","is-referenced-by-count":0,"title":["Hardware--Algorithm Co-Design for Efficient Bit-Serial Acceleration of Lightweight CNNs With Standard and Depthwise Convolutions on FPGA"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9106-5989","authenticated-orcid":false,"given":"Yuanmiao","family":"Lin","sequence":"first","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4269-1958","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaxin","family":"Yu","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8804-2312","authenticated-orcid":false,"given":"Zijian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1237-4945","authenticated-orcid":false,"given":"Xianghong","family":"Hu","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2842-6439","authenticated-orcid":false,"given":"Shuting","family":"Cai","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2421-7621","authenticated-orcid":false,"given":"Xiaoming","family":"Xiong","sequence":"additional","affiliation":[{"name":"Guangdong University of Technology","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","article-title":"PACT: Parameterized clipping activation for quantized neural networks","author":"Choi","year":"2018","journal-title":"arXiv:1805.06085"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref6","article-title":"DoReFa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"Zhou","year":"2016","journal-title":"arXiv:1606.06160"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2025.3587619"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2024.3457739"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2025.3545145"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465915"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2024.3426653"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.3030663"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM57271.2023.00019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2025.3569589"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3146202"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2023.3324477"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO61859.2024.00048"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA57654.2024.00062"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tcad.2026.3652498"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2025.3607319"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106816"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2023.3347417"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA53966.2022.00049"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3074300"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3180553"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3615661"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2025.103627"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2025.3573274"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICFPT52863.2021.9609919"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2022.3222862"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2022.3227608"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2024.3483308"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3497745"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/OJCAS.2020.3047225"},{"key":"ref35","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/jlpea15040063"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tcsi.2026.3683559"}],"container-title":["IEEE Transactions on Very Large Scale Integration (VLSI) Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/92\/11667419\/11579790.pdf?arnumber=11579790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T04:36:58Z","timestamp":1787805418000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11579790\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":37,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tvlsi.2026.3705608","relation":{},"ISSN":["1063-8210","1557-9999"],"issn-type":[{"value":"1063-8210","type":"print"},{"value":"1557-9999","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9]]}}}