{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T06:40:27Z","timestamp":1768286427554,"version":"3.49.0"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Open Foundation of Key Laboratory of Computing Power Network and Information Security","award":["SKLCN-2023-08"],"award-info":[{"award-number":["SKLCN-2023-08"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372077"],"award-info":[{"award-number":["62372077"]}],"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":["62406051"],"award-info":[{"award-number":["62406051"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3480033","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T17:29:57Z","timestamp":1728926997000},"page":"3020-3024","source":"Crossref","is-referenced-by-count":1,"title":["Hierarchical Noise-Tolerant Meta-Learning With Noisy Labels"],"prefix":"10.1109","volume":"31","author":[{"given":"Yahui","family":"Liu","sequence":"first","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1281-2287","authenticated-orcid":false,"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"given":"Yuntai","family":"Yang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"given":"Renlong","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4210-7960","authenticated-orcid":false,"given":"Simiao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Dalian Maritime University, Dalian, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3330412"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3336564"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3152527"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105067"},{"key":"ref5","first-page":"20331","article-title":"Early-learning regularization prevents memorization of noisy labels","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Liu","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00014"},{"key":"ref7","first-page":"24184","article-title":"Estimating noise transition matrix with label correlations for noisy multi-label learning","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Li","year":"2022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01381"},{"key":"ref9","first-page":"347","article-title":"Label correction of crowdsourced noisy annotations with an instance-dependent noise transition model","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Guo","year":"2023"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17244"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102976"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01618"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00041"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01122"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3227818"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00519"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3183841"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01909"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105144"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3344374"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3219358"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.107940"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3391623"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i3.25434"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00654"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02305"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00998"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00793"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19806-9_2"},{"key":"ref31","article-title":"DivideMix: Learning with noisy labels as semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10716287.pdf?arnumber=10716287","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:46:00Z","timestamp":1732668360000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10716287\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3480033","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}