{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:24:09Z","timestamp":1768263849652,"version":"3.49.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"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":["62073155"],"award-info":[{"award-number":["62073155"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002137"],"award-info":[{"award-number":["62002137"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62106088"],"award-info":[{"award-number":["62106088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206113"],"award-info":[{"award-number":["62206113"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002703","name":"Jiangsu University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002703","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Provincial Key Laboratory","award":["2020B121201001"],"award-info":[{"award-number":["2020B121201001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Intell. Mag."],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1109\/mci.2023.3245799","type":"journal-article","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T17:34:46Z","timestamp":1681407286000},"page":"78-93","source":"Crossref","is-referenced-by-count":3,"title":["LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0750-4749","authenticated-orcid":false,"given":"Wei","family":"Fang","sequence":"first","affiliation":[{"name":"Jiangnan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7203-7078","authenticated-orcid":false,"given":"Zhenhao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Jiangnan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8402-8446","authenticated-orcid":false,"given":"Shuwei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Jiangnan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9824-4294","authenticated-orcid":false,"given":"Jun","family":"Sun","sequence":"additional","affiliation":[{"name":"Jiangnan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-5778","authenticated-orcid":false,"given":"Xiaojun","family":"Wu","sequence":"additional","affiliation":[{"name":"Jiangnan University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4618-3573","authenticated-orcid":false,"given":"Zhichao","family":"Lu","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref57","first-page":"87.1","article-title":"Wide residual networks","author":"zagoruyko","year":"0","journal-title":"Proc Brit Mach Vis Conf Assoc"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM52615.2021.9669734"},{"key":"ref56","article-title":"Fractalnet: Ultra-deep neural networks without residuals","author":"larsson","year":"2016"},{"key":"ref15","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref59","article-title":"Hierarchical representations for efficient architecture search","author":"liu","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref14","first-page":"2902","article-title":"Large-scale evolution of image classifiers","author":"real","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.04.024"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1615\/JMachLearnModelComput.2020034126"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00281"},{"key":"ref55","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017"},{"key":"ref10","first-page":"20810","article-title":"MAE-Det: Revisiting maximum entropy principle in zero-shot NAS for efficient object detection","author":"sun","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7744107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195099713.001.0001"},{"key":"ref18","article-title":"Efficient multi-objective neural architecture search via lamarckian evolution","author":"elsken","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref51","first-page":"2017","article-title":"Spatial transformer networks","volume":"28","author":"jaderberg","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.338"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CEC45853.2021.9504945"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2916183"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref47","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.15803\/ijnc.12.1_164"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00104"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00040"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph19042349"},{"key":"ref49","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"0","journal-title":"Proc 14th Int Conf Artif Intell Statist Workshop"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2919608"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2983860"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref6","article-title":"SMASH: One-shot model architecture search through hypernetworks","author":"brock","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref5","article-title":"Designing neural network architectures using reinforcement learning","author":"baker","year":"2016"},{"key":"ref40","article-title":"PC-darts: Partial channel connections for memory-efficient architecture search","author":"xu","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref35","first-page":"10547","article-title":"Semi-supervised neural architecture search","volume":"33","author":"luo","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","article-title":"Once-for-all: Train one network and specialize it for efficient deployment","author":"cai","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref37","article-title":"Neural architecture search on imagenet in four GPU hours: A theoretically inspired perspective","author":"chen","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref36","first-page":"7588","article-title":"Neural architecture search without training","author":"mellor","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","article-title":"Evaluating the search phase of neural architecture search","author":"yu","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref30","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","author":"pham","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00137"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref39","article-title":"Finite depth and width corrections to the neural tangent kernel","author":"hanin","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref38","first-page":"8580","article-title":"Neural tangent kernel: Convergence and generalization in neural networks","author":"jacot","year":"0","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref24","article-title":"ProxylessNAS: Direct neural architecture search on target task and hardware","author":"cai","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3061466"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_3"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-022-00919-y"},{"key":"ref63","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref65","article-title":"A downsampled variant of imagenet as an alternative to the CIFAR datasets","author":"chrabaszcz","year":"2017"},{"key":"ref28","article-title":"Darts: Differentiable architecture search","author":"liu","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00138"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2020BDP0009"}],"container-title":["IEEE Computational Intelligence Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10207\/10102373\/10102389.pdf?arnumber=10102389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T18:40:55Z","timestamp":1683571255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10102389\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":65,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/mci.2023.3245799","relation":{},"ISSN":["1556-603X","1556-6048"],"issn-type":[{"value":"1556-603X","type":"print"},{"value":"1556-6048","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5]]}}}