{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T20:03:01Z","timestamp":1780084981413,"version":"3.54.0"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62174084,62104097"],"award-info":[{"award-number":["62174084,62104097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.23919\/date56975.2023.10137121","type":"proceedings-article","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T15:32:57Z","timestamp":1685719977000},"page":"1-2","source":"Crossref","is-referenced-by-count":6,"title":["CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks"],"prefix":"10.23919","author":[{"given":"Chao","family":"Fang","sequence":"first","affiliation":[{"name":"Nanjing University,ICAIS Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Sun","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aojun","family":"Zhou","sequence":"additional","affiliation":[{"name":"CUHK,CUHK-Sensetime Joint Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongfeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University,ICAIS Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3373087.3375389"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3505633"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FPT.2017.8280142"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2022.3197282"},{"key":"ref3","article-title":"Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:m Transposable Masks","author":"hubara","year":"2021","journal-title":"NeurIPS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3400302.3415643"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956574"},{"key":"ref2","article-title":"DominoSearch: Find Layer-wise Fine-grained N:m Sparse Schemes from Dense Neural Networks","author":"sun","year":"2021","journal-title":"NeurIPS"},{"key":"ref1","article-title":"Learning N:m Fine-grained Structured Sparse Neural Networks from Scratch","author":"zhou","year":"2021","journal-title":"ICLRE"}],"event":{"name":"2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)","location":"Antwerp, Belgium","start":{"date-parts":[[2023,4,17]]},"end":{"date-parts":[[2023,4,19]]}},"container-title":["2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10136870\/10136706\/10137121.pdf?arnumber=10137121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T19:51:13Z","timestamp":1780084273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10137121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":9,"URL":"https:\/\/doi.org\/10.23919\/date56975.2023.10137121","relation":{},"subject":[],"published":{"date-parts":[[2023,4]]}}}