{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:46:42Z","timestamp":1774928802360,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2021,2,1]]},"DOI":"10.1109\/tc.2020.2988006","type":"journal-article","created":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T20:33:45Z","timestamp":1587069225000},"page":"305-315","source":"Crossref","is-referenced-by-count":11,"title":["Modularized Morphing of Deep Convolutional Neural Networks: A Graph Approach"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7086-8935","authenticated-orcid":false,"given":"Tao","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changhu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6720-234X","authenticated-orcid":false,"given":"Chang Wen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref2","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref11","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref12","article-title":"Going deeper with convolutions","author":"Szegedy","year":"2014"},{"key":"ref13","article-title":"Deep residual learning for image recognition","author":"He","year":"2015"},{"key":"ref14","first-page":"564","article-title":"Network morphism","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Wei"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851955"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150464"},{"key":"ref17","first-page":"2654","article-title":"Do deep nets really need to be deep?","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ba"},{"key":"ref18","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref19","article-title":"FitNets: Hints for thin deep nets","author":"Romero","year":"2014"},{"key":"ref20","article-title":"Net2Net: Accelerating learning via knowledge transfer","author":"Chen","year":"2015"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref22","article-title":"Rethinking the inception architecture for computer vision","author":"Szegedy","year":"2015"},{"key":"ref23","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref25","article-title":"Densely connected convolutional networks","author":"Huang","year":"2016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_39"},{"key":"ref27","article-title":"FractalNet: Ultra-deep neural networks without residuals","author":"Larsson","year":"2016"},{"key":"ref28","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/9321720\/09069465.pdf?arnumber=9069465","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:54:13Z","timestamp":1706057653000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9069465\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,1]]},"references-count":30,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tc.2020.2988006","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,1]]}}}