{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:05:27Z","timestamp":1772823927013,"version":"3.50.1"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["62406004"],"award-info":[{"award-number":["62406004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Category in Anhui Province"},{"name":"Higher Education Scientific Research","award":["2024AH050122"],"award-info":[{"award-number":["2024AH050122"]}]},{"name":"Anhui Future Technology Research Institute Enterprise Cooperation Project","award":["2023qyhz14"],"award-info":[{"award-number":["2023qyhz14"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3585822","type":"journal-article","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T13:31:20Z","timestamp":1751549480000},"page":"2704-2708","source":"Crossref","is-referenced-by-count":2,"title":["A Novel Deep Generative Model via Semantic-Based Knowledge Distillation for Zero-Shot Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6308-1114","authenticated-orcid":false,"given":"Xianglin","family":"Bao","sequence":"first","affiliation":[{"name":"School of Computer and Information, Anhui Polytechnic University, Wuhu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3674-199X","authenticated-orcid":false,"given":"Xiaofeng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Anhui Polytechnic University, Wuhu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5460-7196","authenticated-orcid":false,"given":"Ruiheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Engineering, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2025.3549014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3528885"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01443"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02230"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3540945"},{"key":"ref6","first-page":"16622","article-title":"HSVA: Hierarchical semantic-visual adaptation for zero-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chen","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3092227"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/554"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3491013"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01256"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3191696"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3293318"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3309161"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3526449"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19909"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00746"},{"key":"ref17","first-page":"1","article-title":"GenZSL: Generative zero-shot learning via inductive variational autoencoder","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2025"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103233"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3351439"},{"key":"ref20","first-page":"1","article-title":"Zerodiff: Solidified visual-semantic correlation in zero-shot learning","volume-title":"Proc. 13th Int. Conf. Learn. Representations","author":"Ye","year":"2025"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref22","article-title":"The Caltech-UCSD Birds-200-2011 dataset","author":"Welinder","year":"2011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2930744"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3202014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3164142"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-025-02394-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2023.3307245"},{"key":"ref28","first-page":"4611","article-title":"Evolving semantic prototype improves generative zero-shot learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2023"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3282971"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.125150"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680694"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3374217"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/11068117.pdf?arnumber=11068117","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T18:09:30Z","timestamp":1754417370000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11068117\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3585822","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}