{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T02:41:24Z","timestamp":1792896084924,"version":"4.5.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100015956","name":"Special Project for Research and Development in Key areas of Guangdong Province","doi-asserted-by":"publisher","award":["2021B0101200005"],"award-info":[{"award-number":["2021B0101200005"]}],"id":[{"id":"10.13039\/501100015956","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"State Key Program of National Natural Science of China","doi-asserted-by":"publisher","award":["62133016"],"award-info":[{"award-number":["62133016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"State Key Program of National Natural Science of China","doi-asserted-by":"publisher","award":["62233018"],"award-info":[{"award-number":["62233018"]}],"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":["62003370"],"award-info":[{"award-number":["62003370"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postgraduate Scientific Research Innovation Project of Hunan Province","award":["2022ZZTS0183"],"award-info":[{"award-number":["2022ZZTS0183"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tase.2023.3256443","type":"journal-article","created":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T14:05:51Z","timestamp":1678975551000},"page":"1284-1296","source":"Crossref","is-referenced-by-count":19,"title":["Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8612-8651","authenticated-orcid":false,"given":"Jie","family":"Wang","sequence":"first","affiliation":[{"name":"CSchool of Automation, Central South University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5485-4234","authenticated-orcid":false,"given":"Shiwen","family":"Xie","sequence":"additional","affiliation":[{"name":"CSchool of Automation, Central South University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2060-6574","authenticated-orcid":false,"given":"Yongfang","family":"Xie","sequence":"additional","affiliation":[{"name":"CSchool of Automation, Central South University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7188-032X","authenticated-orcid":false,"given":"Xiaofang","family":"Chen","sequence":"additional","affiliation":[{"name":"CSchool of Automation, Central South University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2780884"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2884214"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1205\/026387696523094"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0098-1354(98)00223-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2020.11.012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2021.06.005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/10426914.2017.1328122"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.109989"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2749412"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/wcica.2010.5554487"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2020.12.695"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.07.031"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICBK.2018.00057"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2902790"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2020.104086"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3077468"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2835402"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2020.104706"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10736"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3220219"},{"key":"ref21","first-page":"15895","article-title":"DP-SSL: Towards robust semisupervised learning with a few labeled samples","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"34","author":"Xu"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2877127"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2647904"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00521"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.06.007"},{"key":"ref26","article-title":"Local label propagation for large-scale semi-supervised learning","author":"Zhuang","year":"2019","journal-title":"arXiv:1905.11581"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108602"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.11.015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_45"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107943"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3085869"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_36"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_12"},{"key":"ref34","article-title":"Improving unsupervised domain adaptation with variational information bottleneck","author":"Song","year":"2019","journal-title":"arXiv:1911.09310"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2006.03.007"},{"key":"ref36","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"Tarvainen","year":"2017","journal-title":"arXiv:1703.01780"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2016","journal-title":"arXiv:1610.02242"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_19"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref41","article-title":"Adversarially learned inference","author":"Dumoulin","year":"2016","journal-title":"arXiv:1606.00704"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2022.06.039"},{"key":"ref43","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Sohn"},{"key":"ref44","article-title":"Deep unsupervised clustering with Gaussian mixture variational autoencoders","author":"Dilokthanakul","year":"2016","journal-title":"arXiv:1611.02648"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/10494832\/10072007.pdf?arnumber=10072007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T14:59:06Z","timestamp":1712674746000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10072007\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":44,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tase.2023.3256443","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}