{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T06:51:23Z","timestamp":1774594283344,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":["62272242"],"award-info":[{"award-number":["62272242"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005145","name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","doi-asserted-by":"publisher","award":["KYCX24_1225"],"award-info":[{"award-number":["KYCX24_1225"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005145","name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","doi-asserted-by":"publisher","award":["KYCX20_0766"],"award-info":[{"award-number":["KYCX20_0766"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Commun. Netw."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tccn.2026.3676024","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T20:00:12Z","timestamp":1774036812000},"page":"6760-6776","source":"Crossref","is-referenced-by-count":0,"title":["Semi-Supervised Open-Set Through-Wall User Identification via MIMO Radar Respiratory Signals"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8550-431X","authenticated-orcid":false,"given":"Kai","family":"Yang","sequence":"first","affiliation":[{"name":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2657-1464","authenticated-orcid":false,"given":"Chong","family":"Han","sequence":"additional","affiliation":[{"name":"College of Computer and Jiangsu Key Laboratory of Intelligent Sensing and Computing for Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8708-2989","authenticated-orcid":false,"given":"Yichen","family":"Xia","sequence":"additional","affiliation":[{"name":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4033-8194","authenticated-orcid":false,"given":"Dongsheng","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5944-3103","authenticated-orcid":false,"given":"Jian","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Computer and Jiangsu Key Laboratory of Intelligent Sensing and Computing for Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5445-2905","authenticated-orcid":false,"given":"Lijuan","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Computer and Jiangsu Key Laboratory of Intelligent Sensing and Computing for Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2025.3584333"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.004.2400187"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2025.110493"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3673224"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3651306"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3486076"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SECON55815.2022.9918606"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3358548"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3196143"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1049\/rsn2.12195"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3097892"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2022.3197413"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2024.3414390"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2025.3551814"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2025.3569555"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2023.3345869"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2023.3265206"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2025.3601532"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2025.3607413"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3485730.3485932"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3447993.3483251"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3749471"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111101"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2025.3575751"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3162590"},{"key":"ref26","first-page":"25956","article-title":"OpenMatch: Open-set semi-supervised learning with open-set consistency regularization","volume":"34","author":"Saito","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01472"},{"key":"ref28","first-page":"4851","article-title":"Partial optimal transport based out-of-distribution detection for open-set semi-supervised learning","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Ren"},{"key":"ref29","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sohn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01418"},{"key":"ref31","first-page":"3897","article-title":"Safe deep semi-supervised learning for unseen-class unlabeled data","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","volume":"1","author":"Guo"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01454"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956182"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155258"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.23919\/JCN.2022.000011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2022.3191647"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3613290"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2024.3353256"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103306"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01407"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00934"},{"key":"ref42","article-title":"On pseudo-labeling for class-mismatch semi-supervised learning","author":"Han","year":"2023","journal-title":"arXiv:2301.06010"},{"key":"ref43","article-title":"RoPAWS: Robust semi-supervised representation learning from uncurated data","author":"Mo","year":"2023","journal-title":"arXiv:2302.14483"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25063-7_9"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5763"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_26"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3207902"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3541807"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3519999"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.01.001"},{"key":"ref51","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hendrycks"},{"key":"ref52","first-page":"18408","article-title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Zhang"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_30"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00235"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref57","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"30","author":"Tarvainen"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3427329"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001129"},{"key":"ref60","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2016","journal-title":"arXiv:1608.03983"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3179895"},{"key":"ref62","article-title":"Embedded AI performances of Nvidia\u2019s Jetson Orin SoC series","volume-title":"Proc. 17 \u00e8me Colloque National du GDR SOC2","author":"Archet"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3529038"}],"container-title":["IEEE Transactions on Cognitive Communications and Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687307\/11304002\/11449267.pdf?arnumber=11449267","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T05:21:38Z","timestamp":1774588898000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11449267\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tccn.2026.3676024","relation":{},"ISSN":["2332-7731","2372-2045"],"issn-type":[{"value":"2332-7731","type":"electronic"},{"value":"2372-2045","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}