{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T11:39:25Z","timestamp":1769168365174,"version":"3.49.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102051"],"award-info":[{"award-number":["62102051"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072059"],"award-info":[{"award-number":["62072059"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tcad.2024.3443694","type":"journal-article","created":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T18:40:50Z","timestamp":1730918450000},"page":"4033-4044","source":"Crossref","is-referenced-by-count":2,"title":["FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6699-8036","authenticated-orcid":false,"given":"Miao","family":"Tang","sequence":"first","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4943-6625","authenticated-orcid":false,"given":"Ning","family":"Liu","sequence":"additional","affiliation":[{"name":"Midea Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6943-2907","authenticated-orcid":false,"given":"Tao","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8579-9681","authenticated-orcid":false,"given":"Haining","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiu","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9055-5389","authenticated-orcid":false,"given":"Yujuan","family":"Tan","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8987-377X","authenticated-orcid":false,"given":"Xianzhang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3040-2065","authenticated-orcid":false,"given":"Duo","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kan","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2322-8038","authenticated-orcid":false,"given":"Ao","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100379"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100134"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.05.103"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2022.3226481"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3486618"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/cdt2.12016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/computers12030060"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2022.3181759"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.045"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_48"},{"key":"ref11","first-page":"14747","article-title":"Storage efficient and dynamic flexible runtime channel pruning via deep reinforcement learning","volume-title":"Proc. 34th Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00357"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.07.134"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956562"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.11.009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533986"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3227562"},{"key":"ref19","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","volume-title":"Proc. 28th Conf. Neural Inf. Process. Syst.","author":"Han"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6000"},{"key":"ref21","first-page":"1","article-title":"Pruning filters for efficient ConvNets","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/309"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref24","article-title":"An entropy-based pruning method for CNN compression","author":"Luo","year":"2017","journal-title":"arXiv:1706.05791"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00153"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_38"},{"key":"ref27","first-page":"6377","article-title":"Pruning neural networks without any data by iteratively conserving synaptic flow","volume-title":"Proc. 34th Conf. Neural Inf. Process. Syst.","author":"Tanaka"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1611.01578"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref30","article-title":"Darts: Differentiable architecture search","author":"Liu","year":"2018","journal-title":"arXiv:1806.09055"},{"key":"ref31","first-page":"7588","article-title":"Neural architecture search without training","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mellor"},{"key":"ref32","first-page":"1","article-title":"Neural architecture search on ImageNet in four GPU hours: A theoretically inspired perspective","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Chen"},{"key":"ref33","first-page":"1","article-title":"Net-trim: Convex pruning of deep neural networks with performance guarantee","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst.","volume":"30","author":"Aghasi"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00447"},{"key":"ref35","article-title":"DBP: Discrimination based block-level pruning for deep model acceleration","author":"Wang","year":"2019","journal-title":"arXiv:1912.10178"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref38","article-title":"Picking winning tickets before training by preserving gradient flow","author":"Wang","year":"2020","journal-title":"arXiv:2002.07376"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00040"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5924"},{"key":"ref41","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref42","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","first-page":"1","article-title":"Matching networks for one shot learning","volume-title":"Proc. 30th Conf. Neural Inf. Process. Syst.","author":"Vinyals"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/43\/10745760\/10745854.pdf?arnumber=10745854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T13:58:32Z","timestamp":1732715912000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10745854\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":44,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2024.3443694","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"value":"0278-0070","type":"print"},{"value":"1937-4151","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}