{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T12:02:19Z","timestamp":1742644939204,"version":"3.37.3"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["62172387"],"award-info":[{"award-number":["62172387"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Youth Innovation Promotion Association of Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["2021098"],"award-info":[{"award-number":["2021098"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. VLSI Syst."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tvlsi.2022.3221732","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T21:14:46Z","timestamp":1669065286000},"page":"90-103","source":"Crossref","is-referenced-by-count":3,"title":["BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks"],"prefix":"10.1109","volume":"31","author":[{"given":"Hongyan","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6233-3538","authenticated-orcid":false,"given":"Hang","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, the Zhongguancun Laboratory, and the Shanghai Innovation Center for Processor Technologies (SHIC), Chinese Academy of Sciences, Beijing, China"}]},{"given":"Haoxuan","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Shengji","family":"Deng","sequence":"additional","affiliation":[{"name":"Second Research Institute of the Civil Aviation Administration of China (CAAC), Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0874-814X","authenticated-orcid":false,"given":"Xiaowei","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783722"},{"volume-title":"UCF101: A Dataset 101 Human Actions Classes From Videos the Wild","year":"2012","author":"Soomro","key":"ref3"},{"key":"ref4","first-page":"382","article-title":"Bit-pragmatic deep neural network computing","volume-title":"Proc. 50th Annu. IEEE\/ACM Int. Symp. Microarchitecture","author":"Albericio"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_26"},{"key":"ref7","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref10","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. NIPS","author":"Brown"},{"key":"ref11","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"arXiv:2010.11929v2"},{"key":"ref12","article-title":"Network trimming: A data-driven neuron pruning approach towards efficient deep architectures","author":"Hu","year":"2016","journal-title":"arXiv:1607.03250"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","article-title":"Pruning filters for efficient convnets","author":"Li","year":"2017","journal-title":"arXiv:1608.08710v3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3013518"},{"key":"ref16","article-title":"An entropy-based pruning method for CNN compression","author":"Luo","year":"2017","journal-title":"arXiv:1706.05791"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref18","article-title":"Video enhancement with task-oriented flow","author":"Xue","year":"2017","journal-title":"arXiv:1711.09078"},{"key":"ref19","first-page":"2082","article-title":"Learning structured sparsity in deep neural networks","volume-title":"Proc. NIPS","author":"Wen"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref21","first-page":"711","article-title":"On single image scale-up using sparse-representations","volume-title":"Proc. Int. Conf. Curves Surf.","author":"Zey De"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00986"},{"volume-title":"Flickr Image Dataset","year":"2022","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref25","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2018.00011"},{"key":"ref29","first-page":"243","article-title":"EIE: Efficient inference engine on compressed deep neural network","volume-title":"Proc. ISCA","author":"Song"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021745"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080254"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001138"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IEEESTD.2008.4610935"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3240855"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2019.2946810"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3297858.3304041"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2018.8310262"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1137\/S0097539704442702"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3472456.3472513"},{"volume-title":"Facebook","year":"2021","key":"ref41"},{"key":"ref42","first-page":"1","article-title":"YOLOv3: An incremental improvement","volume-title":"Proc. CVPR","author":"Redmon"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.2197\/ipsjtsldm.8.63"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref45","article-title":"Weight pruning via adaptive sparsity loss","author":"Retsinas","year":"2020","journal-title":"arXiv:2006.02768"}],"container-title":["IEEE Transactions on Very Large Scale Integration (VLSI) Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/92\/9998453\/09956969.pdf?arnumber=9956969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:16:04Z","timestamp":1706757364000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956969\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":45,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tvlsi.2022.3221732","relation":{},"ISSN":["1063-8210","1557-9999"],"issn-type":[{"type":"print","value":"1063-8210"},{"type":"electronic","value":"1557-9999"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}