{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:45:21Z","timestamp":1774928721002,"version":"3.50.1"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shandong Provincial Natural Science Foundation, China","award":["ZR2020QF114"],"award-info":[{"award-number":["ZR2020QF114"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3419419","type":"journal-article","created":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T18:32:55Z","timestamp":1719426775000},"page":"1725-1729","source":"Crossref","is-referenced-by-count":2,"title":["Easy Pruning via Coresets and Structural Re-Parameterization"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2033-8506","authenticated-orcid":false,"given":"Wenfeng","family":"Yin","sequence":"first","affiliation":[{"name":"IEIT SYSTEMS Company Ltd., Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Dong","sequence":"additional","affiliation":[{"name":"IEIT SYSTEMS Company Ltd., Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4486-4479","authenticated-orcid":false,"given":"Dianzheng","family":"An","sequence":"additional","affiliation":[{"name":"Department of Oncology, First Affiliated Hospital of Shandong First Medical University, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqian","family":"Zhao","sequence":"additional","affiliation":[{"name":"IEIT SYSTEMS Company Ltd., Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Binqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"IEIT SYSTEMS Company Ltd., Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00447"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851810"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.378"},{"key":"ref4","first-page":"16240","article-title":"PAC-Net: A model pruning approach to inductive transfer learning","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Myung","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084206"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_28"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1993636.1993712"},{"key":"ref11","first-page":"1","article-title":"Data-dependent coresets for compressing neural networks with applications to generalization bounds","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Baykal","year":"2019"},{"key":"ref12","first-page":"1","article-title":"Data-independent neural pruning via coresets","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Mussay","year":"2020"},{"key":"ref13","first-page":"948","article-title":"Efficient coreset constructions via sensitivity sampling","volume-title":"Proc. Asian Conf. Mach. Learn.","author":"Braverman","year":"2021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533343"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3088587"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref17","first-page":"1","article-title":"Pruning convolutional neural networks for resource efficient inference","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Molchanov","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17046"},{"key":"ref19","first-page":"1","article-title":"Differentiable architecture pruning for transfer learning","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Colombo","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04092-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403212"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001284"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10572221.pdf?arnumber=10572221","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T05:34:22Z","timestamp":1720330462000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10572221\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3419419","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}