{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T11:20:00Z","timestamp":1778239200053,"version":"3.51.4"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFB4400604"],"award-info":[{"award-number":["2022YFB4400604"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62174084"],"award-info":[{"award-number":["62174084"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tcsi.2023.3338471","type":"journal-article","created":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T20:03:11Z","timestamp":1701979391000},"page":"634-645","source":"Crossref","is-referenced-by-count":9,"title":["WinTA: An Efficient Reconfigurable CNN Training Accelerator With Decomposition Winograd"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7134-6514","authenticated-orcid":false,"given":"Jinming","family":"Lu","sequence":"first","affiliation":[{"name":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8690-3608","authenticated-orcid":false,"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7227-4786","authenticated-orcid":false,"given":"Zhongfeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic Science and Engineering, Naniing University, Naniing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A white paper on neural network quantization","author":"Nagel","year":"2021","journal-title":"arXiv:2106.08295"},{"key":"ref2","first-page":"129","article-title":"What is the state of neural network pruning?","volume":"2","author":"Blalock","year":"2020","journal-title":"Proc. Mach. Learn. Syst."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.435"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/OJSSCS.2021.3119554"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ASAP.2016.7760779"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/FPT.2017.8280142"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00064"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2022.3184175"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2022.3175582"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3145850"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2897701"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2019.2961602"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2019.2941250"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/VLSIC.2018.8502276"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3218603.3218625"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3005786"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3287641"},{"key":"ref18","first-page":"1","article-title":"An optimized design technique of low-bit neural network training for personalization on IoT devices","volume-title":"Proc. 56th ACM\/IEEE Design Autom. Conf. (DAC)","author":"Choi"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2021.3066400"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3021661"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218650"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2019.8662302"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3061639.3062244"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2019.2928682"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.2985727"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ASP-DAC47756.2020.9045214"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5838"},{"key":"ref28","first-page":"358","article-title":"Accelerate non-unit stride convolutions with Winograd algorithms","volume-title":"Proc. 26th Asia South Pacific Design Autom. Conf. (ASP-DAC)","author":"Pan"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref30","volume-title":"PyTorch Image Models","author":"Wightman","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3289602.3293977"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2018.00021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2019.00016"},{"key":"ref34","first-page":"1","article-title":"FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory","volume-title":"Proc. IEEE\/ACM Int. Conf. Comput. Aided Design (ICCAD)","author":"Venkataramanaiah"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8919\/10416295\/10347239.pdf?arnumber=10347239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T19:15:19Z","timestamp":1734722119000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10347239\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":34,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2023.3338471","relation":{},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"value":"1549-8328","type":"print"},{"value":"1558-0806","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}