{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:05:56Z","timestamp":1775228756846,"version":"3.50.1"},"reference-count":85,"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":["62172177"],"award-info":[{"award-number":["62172177"]}],"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":["61976120"],"award-info":[{"award-number":["61976120"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3301004"],"award-info":[{"award-number":["2022YFC3301004"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3301003"],"award-info":[{"award-number":["2022YFC3301003"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3301704"],"award-info":[{"award-number":["2022YFC3301704"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFF0712300"],"award-info":[{"award-number":["2022YFF0712300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20191445"],"award-info":[{"award-number":["BK20191445"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Key Foundation of Jiangsu Education Department","award":["21KJA510004"],"award-info":[{"award-number":["21KJA510004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tevc.2023.3307245","type":"journal-article","created":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:51:56Z","timestamp":1692640316000},"page":"582-596","source":"Crossref","is-referenced-by-count":26,"title":["EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9633-3392","authenticated-orcid":false,"given":"Shiming","family":"Chen","sequence":"first","affiliation":[{"name":"School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China"}]},{"given":"Shuhuang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China"}]},{"given":"Wenjin","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3180-7347","authenticated-orcid":false,"given":"Weiping","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Nantong University, Nantong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0607-1777","authenticated-orcid":false,"given":"Xinge","family":"You","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"646","article-title":"Zero-data learning of new tasks","volume-title":"Proc. AAAI","author":"Larochelle"},{"key":"ref2","first-page":"1410","article-title":"Zero-shot learning with semantic output codes","volume-title":"Proc. NeurIPS","author":"Palatucci"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2737007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2408354"},{"key":"ref7","first-page":"2121","article-title":"DeViSE: A deep visual-semantic embedding model","volume-title":"Proc. NeurIPS","author":"Frome"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01052"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00379"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01350-x"},{"key":"ref11","first-page":"468","article-title":"Zero-shot semantic segmentation","volume-title":"Proc. NeurIPS","author":"Bucher"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_24"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00581"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3046924"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00113"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3070231"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2487986"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3155602"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00746"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19909"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3229526"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.386"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1027-5"},{"key":"ref25","first-page":"2009","article-title":"Generalized zero-shot learning with deep calibration network","volume-title":"Proc. NeurIPS","author":"Liu"},{"key":"ref26","first-page":"16622","article-title":"HSVA: Hierarchical semantic-visual adaptation for zero-shot learning","volume-title":"Proc. NeurIPS","author":"Chen"},{"key":"ref27","first-page":"4281","article-title":"Generalized zero-shot learning via synthesized examples","volume-title":"Proc. CVPR","author":"Arora"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_36"},{"key":"ref30","first-page":"4611","article-title":"Evolving semantic prototype improves generative zero-shot learning","volume-title":"Proc. ICML","author":"Chen"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20256"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/134"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_29"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00758"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.47"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247998"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3447582"},{"key":"ref39","first-page":"1","article-title":"DARTS: Differentiable architecture search","volume-title":"Proc. ICLR","author":"Liu"},{"key":"ref40","first-page":"1","article-title":"DetNAS: Neural architecture search on object detection","volume-title":"Proc. NeurIPS","author":"Chen"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00332"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19787-1_3"},{"key":"ref43","article-title":"Agan: Towards automated design of generative adversarial networks","author":"Wang","year":"2019","journal-title":"arXiv:1906.11080"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00572"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3099829"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17052"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3127346"},{"key":"ref48","first-page":"1","article-title":"Towards distributed coevolutionary GANs","volume-title":"Proc. AAAI Fall Symp.","author":"Schmiedlechner"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2895748"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321746"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321860"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6361"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3068842"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169811"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3100554"},{"key":"ref56","article-title":"Evolutionary-neural hybrid agents for architecture search","author":"Maziarz","year":"2018","journal-title":"arXiv:1811.09828"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2022.3217290"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3147526"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3055076"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3046774"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3137377"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3512290.3528742"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16692-2_32"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390229"},{"key":"ref65","article-title":"Caltech-UCSD birds 200","author":"Welinder","year":"2010"},{"key":"ref66","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Arjovsky"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_2"},{"key":"ref68","first-page":"1","article-title":"SMASH: One-shot model architecture search through hypernetworks","volume-title":"Proc. ICLR","author":"Brock"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref71","first-page":"550","article-title":"Understanding and simplifying one-shot architecture search","volume-title":"Proc. ICML","author":"Bender"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00378"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2881143"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2916183"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477874"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321729"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2020.3024708"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref80","volume-title":"Machine Learning for Evolution Strategies","author":"Kramer","year":"2018"},{"key":"ref81","first-page":"935","article-title":"Zero-shot learning through cross-modal transfer","volume-title":"Proc. NeurIPS","author":"Socher"},{"key":"ref82","first-page":"11","article-title":"An embarrassingly simple approach to zero-shot learning","volume-title":"Proc. ICML","author":"Romera-Paredes"},{"key":"ref83","first-page":"1004","article-title":"A generative adversarial approach for zero-shot learning from noisy texts","volume-title":"Proc. CVPR","author":"Zhu"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01022"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00844"}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/10542475\/10225587.pdf?arnumber=10225587","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T05:34:43Z","timestamp":1725341683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10225587\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":85,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2023.3307245","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]]}}}