{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T20:07:59Z","timestamp":1779739679059,"version":"3.53.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017677","name":"Shenzhen Science and Technology Program","doi-asserted-by":"publisher","award":["JCYJ20220818103200002"],"award-info":[{"award-number":["JCYJ20220818103200002"]}],"id":[{"id":"10.13039\/501100017677","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017677","name":"Shenzhen Science and Technology Program","doi-asserted-by":"publisher","award":["JCYJ20240813114223031"],"award-info":[{"award-number":["JCYJ20240813114223031"]}],"id":[{"id":"10.13039\/501100017677","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024A1515011155"],"award-info":[{"award-number":["2024A1515011155"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education","award":["2024ZD015"],"award-info":[{"award-number":["2024ZD015"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC3006501"],"award-info":[{"award-number":["2023YFC3006501"]}],"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":["2021YFB3900601"],"award-info":[{"award-number":["2021YFB3900601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province of China","doi-asserted-by":"publisher","award":["BK20242050"],"award-info":[{"award-number":["BK20242050"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Science and Technology Program of the Ministry of Water Resources of China","award":["SKS2022072"],"award-info":[{"award-number":["SKS2022072"]}]},{"name":"Brazilian National Council for Scientific and Technological Development\u2013CNPq","award":["306607\/2023-9"],"award-info":[{"award-number":["306607\/2023-9"]}]},{"name":"High Performance Computing Platform, Hohai University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,6,1]]},"DOI":"10.1109\/jiot.2026.3658853","type":"journal-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T21:00:31Z","timestamp":1769634031000},"page":"22670-22679","source":"Crossref","is-referenced-by-count":0,"title":["Edge\u2013Cloud Collaborated Prototype Graph Network for Efficient Few-Shot Object Detection"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3022-3718","authenticated-orcid":false,"given":"Yirui","family":"Wu","sequence":"first","affiliation":[{"name":"Key Laboratory of Water Big Data Technology, Ministry of Water Resources, and the College of Computer Science and Software Engineering, Hohai University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8181-5921","authenticated-orcid":false,"given":"Qi","family":"Yan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Big Data Technology, Ministry of Water Resources, and the College of Computer Science and Software Engineering, Hohai University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7061-880X","authenticated-orcid":false,"given":"Xinfu","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Big Data Technology, Ministry of Water Resources, and the College of Computer Science and Software Engineering, Hohai University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7013-9081","authenticated-orcid":false,"given":"Shaohua","family":"Wan","sequence":"additional","affiliation":[{"name":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3550-8026","authenticated-orcid":false,"given":"Guohua","family":"Lv","sequence":"additional","affiliation":[{"name":"Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center), and the Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4026-1649","authenticated-orcid":false,"given":"Jiehan","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8657-3800","authenticated-orcid":false,"given":"Joel J. P. C.","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Federal University of Piauí (UFPI), Teresina, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611659"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-92805-5_2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3124"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3234368"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3125195"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3326872"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3074273"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3075323"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3082687"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6957"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_27"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11716"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01281"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00851"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00534"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3174072"},{"key":"ref17","first-page":"3521","article-title":"Restoring negative information in few-shot object detection","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","volume":"33","author":"Yang"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01005"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00728"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00311"},{"key":"ref21","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kipf"},{"key":"ref22","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Velickovic"},{"key":"ref23","first-page":"1","article-title":"Predict then propagate: Graph neural networks meet personalized PageRank","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gasteiger"},{"key":"ref24","first-page":"1","article-title":"Few-shot learning with graph neural networks","volume-title":"Proc. 6th Int. Conf. Learn. Represent.","author":"Satorras"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00010"},{"key":"ref26","first-page":"1","article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Liu"},{"key":"ref27","first-page":"1037","article-title":"Learning to propagate for graph meta-learning","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","volume":"32","author":"Liu"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/112"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01340"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00730"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00325"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2009.82"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1016\/j.future.2019.09.003","article-title":"An optimal delay aware task assignment scheme for wireless SDN networked edge cloudlets","volume":"102","author":"Chalapathi","year":"2020","journal-title":"Future Gener. Comput. Syst."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3272901"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.12.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3563487"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119849"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3535233"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01002"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00967"},{"key":"ref41","first-page":"9919","article-title":"Frustratingly simple few-shot object detection","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"1","author":"Wang"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11534158\/11366871.pdf?arnumber=11366871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T19:56:46Z","timestamp":1779739006000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11366871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,1]]},"references-count":43,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3658853","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,1]]}}}