{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T21:18:13Z","timestamp":1792790293960,"version":"4.5.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"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":["62006163"],"award-info":[{"award-number":["62006163"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018AAA0100201"],"award-info":[{"award-number":["2018AAA0100201"]}]},{"DOI":"10.13039\/501100012152","name":"National Postdoctoral Program for Innovative Talents","doi-asserted-by":"publisher","award":["BX20200226"],"award-info":[{"award-number":["BX20200226"]}],"id":[{"id":"10.13039\/501100012152","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sichuan Science and Technology Planning Project","award":["2022YFSY0047"],"award-info":[{"award-number":["2022YFSY0047"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tevc.2023.3261135","type":"journal-article","created":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T17:48:07Z","timestamp":1679593687000},"page":"798-809","source":"Crossref","is-referenced-by-count":23,"title":["Multiobjective Evolutionary Generative Adversarial Network Compression for Image Translation"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8021-7650","authenticated-orcid":false,"given":"Yao","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Computer Science, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianglei","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaide","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5867-9322","authenticated-orcid":false,"given":"Zhang","family":"Yi","sequence":"additional","affiliation":[{"name":"College of Computer Science, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8851-5348","authenticated-orcid":false,"given":"Gary G.","family":"Yen","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref2","first-page":"1","article-title":"Large scale GAN training for high fidelity natural image synthesis","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Brock"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3181070"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3439723"},{"key":"ref6","first-page":"852","article-title":"Alias-free generative adversarial networks","volume-title":"Proc. 35th Conf. NIPS","volume":"34","author":"Karras"},{"key":"ref7","first-page":"3029","article-title":"Do GANs always have Nash equilibria?","volume-title":"Proc. 37th Int. Conf. Mach. Learn. (ICML)","author":"Farnia"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"28","author":"Ren"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.2976475"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858232"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00333"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5765"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2021.3126742"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01339"},{"key":"ref20","first-page":"1","article-title":"Hierarchical representations for efficient architecture search","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Liu"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.3024708"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_3"},{"key":"ref24","first-page":"700","article-title":"Unsupervised image-to-image translation networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"30","author":"Liu"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_11"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_19"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00788"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01776"},{"key":"ref31","first-page":"1737","article-title":"Deep learning with limited numerical precision","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Gupta"},{"key":"ref32","first-page":"4107","article-title":"Binarized neural networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Hubara"},{"key":"ref33","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Denton"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00029"},{"key":"ref37","first-page":"1","article-title":"Once-for-all: Train one network and specialize it for efficient deployment","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Cai"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2933879"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3059529"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3100554"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref42","first-page":"1","article-title":"Model compression via distillation and quantization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Polino"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3170728"},{"key":"ref44","first-page":"3292","article-title":"AutoGAN-distiller: Searching to compress generative adversarial networks","volume-title":"Proc. 37th Int. Conf. Mach. Learn. (ICML)","author":"Fu"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_32"},{"key":"ref46","first-page":"1","article-title":"FitNets: Hints for thin deep nets","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Romero"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref48","first-page":"4092","article-title":"Efficient neural architecture search via parameter sharing","volume-title":"Proc. 35th Int. Conf. Mach. Learn. (ICML)","volume":"80","author":"Pham"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00244"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1604.01685"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref55","first-page":"1","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"30","author":"Heusel"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00133"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_4"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2564158"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2928174"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/10542475\/10079129.pdf?arnumber=10079129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T17:46:29Z","timestamp":1722879989000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10079129\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":61,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2023.3261135","relation":{},"ISSN":["1089-778X","1089-778X","1941-0026"],"issn-type":[{"value":"1089-778X","type":"print"},{"value":"1089-778X","type":"print"},{"value":"1941-0026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}