{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T16:32:17Z","timestamp":1783787537188,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515010688"],"award-info":[{"award-number":["2022A1515010688"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073090"],"award-info":[{"award-number":["62073090"]}],"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":["U22A20221"],"award-info":[{"award-number":["U22A20221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tbdata.2023.3319249","type":"journal-article","created":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T17:42:27Z","timestamp":1695836547000},"page":"55-65","source":"Crossref","is-referenced-by-count":18,"title":["Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0946-7494","authenticated-orcid":false,"given":"Naiyao","family":"Liang","sequence":"first","affiliation":[{"name":"School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3646-2066","authenticated-orcid":false,"given":"Zuyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4659-8373","authenticated-orcid":false,"given":"Junhang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8098-0341","authenticated-orcid":false,"given":"Zhenni","family":"Li","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2041-5214","authenticated-orcid":false,"given":"Shengli","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2021.3140205"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3031898"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2820084"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05855-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3155478"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2021.3101517"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2726188"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944565"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3117403"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3163584"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2984552"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105582"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2777489"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3021649"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3171911"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00955"},{"key":"ref18","first-page":"912","article-title":"Semi-supervised learning using Gaussian fields and harmonic functions","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhu"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2901853"},{"key":"ref20","first-page":"1881","article-title":"Parameter-free auto-weighted multiple graph learning: A framework for multiview clustering and semi-supervised classification","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Nie"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2754939"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2920985"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.02.026"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2938782"},{"key":"ref25","first-page":"321","article-title":"Learning with local and global consistency","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhou"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-009-0305-8"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0031"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2727526"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8257918"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2978844"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2861992"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2271327"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2499311"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/180139.181176"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02319-4_50"},{"key":"ref36","first-page":"8536","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Han"},{"key":"ref37","first-page":"5841","article-title":"Masking: A new perspective of noisy supervision","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Han"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10293"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00582"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00160"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/361"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3029523"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2866869"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10400536\/10265191.pdf?arnumber=10265191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T18:34:58Z","timestamp":1705602898000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10265191\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2023.3319249","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}