{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:23:45Z","timestamp":1740165825469,"version":"3.37.3"},"reference-count":24,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Theme-Based Research Scheme","award":["T45-701\/22-R"],"award-info":[{"award-number":["T45-701\/22-R"]}]},{"name":"General Research Fund (GRF) of the Research Grants Council (RGC), Hong Kong, SAR","award":["17209721"],"award-info":[{"award-number":["17209721"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/tnnls.2023.3333562","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T19:21:21Z","timestamp":1701199281000},"page":"1919-1924","source":"Crossref","is-referenced-by-count":0,"title":["Lite It Fly: An All-Deformable-Butterfly Network"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0744-0263","authenticated-orcid":false,"given":"Rui","family":"Lin","sequence":"first","affiliation":[{"name":"Distributed and Parallel Software Laboratory, Huawei, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9389-4095","authenticated-orcid":false,"given":"Jason Chun Lok","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6328-4256","authenticated-orcid":false,"given":"Jiajun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5316-703X","authenticated-orcid":false,"given":"Binxiao","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}]},{"given":"Jie","family":"Ran","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3026-0108","authenticated-orcid":false,"given":"Ngai","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1119\/1.1973431"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_31"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.15"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105961"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.l803.03635"},{"key":"ref6","first-page":"3259","article-title":"Linear mode connectivity and the lottery ticket hypothesis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Frankle"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2946636"},{"key":"ref8","first-page":"8","article-title":"Fastfood-approximating kernel expansions in loglinear time","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"85","author":"Le"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.173"},{"key":"ref10","first-page":"1517","article-title":"Learning fast algorithms for linear transforms using butterfly factorizations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dao"},{"key":"ref11","article-title":"Kaleidoscope: An efficient, learnable representation for all structured linear maps","author":"Dao","year":"2020","journal-title":"arXiv:2012.14966"},{"key":"ref12","first-page":"16145","article-title":"Deformable butterfly: A highly structured and sparse linear transform","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Lin"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-46466-9_18"},{"key":"ref14","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref15","article-title":"Striving for simplicity: The all convolutional net","author":"Tobias Springenberg","year":"2014","journal-title":"arXiv:1412.6806"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref19","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref20","article-title":"Contrastive representation distillation","author":"Tian","year":"2019","journal-title":"arXiv:1910.10699"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298801"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10832116\/10329580.pdf?arnumber=10329580","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T20:28:53Z","timestamp":1736368133000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10329580\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":24,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3333562","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}