{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T19:16:58Z","timestamp":1774120618459,"version":"3.50.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"14","license":[{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"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":["62072077"],"award-info":[{"award-number":["62072077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Foundation of Henan Province of China","award":["212102210387"],"award-info":[{"award-number":["212102210387"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2023,7,15]]},"DOI":"10.1109\/jiot.2023.3256324","type":"journal-article","created":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T18:00:56Z","timestamp":1678730456000},"page":"12787-12797","source":"Crossref","is-referenced-by-count":10,"title":["Mean Teacher-Based Cross-Domain Activity Recognition Using WiFi Signals"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8339-1278","authenticated-orcid":false,"given":"Chunjing","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9055-8221","authenticated-orcid":false,"given":"Chun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3472-1717","authenticated-orcid":false,"given":"Jie","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2936580"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12632"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3080401"},{"key":"ref56","first-page":"1","article-title":"Self-ensembling for visual domain adaptation","author":"french","year":"2018","journal-title":"Proc Int Conf Learn Rep"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3111030"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.03.021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2018.8487345"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2997185"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2941527"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2679658"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3103073"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241548"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3384419.3430735"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2973272"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3199015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00588"},{"key":"ref18","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2878754"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2993901"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2997237"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.107066"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2997053"},{"key":"ref42","first-page":"6243","article-title":"Local clustering with mean teacher for semi-supervised learning","author":"chen","year":"2020","journal-title":"Proc 25th Int Conf Pattern Recognit"},{"key":"ref41","first-page":"1","article-title":"Semi-supervised learning with GANs: Revisiting manifold regularization","author":"lecouat","year":"2018","journal-title":"Proc Int Conf Learn Rep"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00164"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3161183"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2901927"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700144"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3061130"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3041756"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102738"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3310194"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3012433"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3071434"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0706-y"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00565"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414297"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3191755"},{"key":"ref36","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Rep"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.405"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17529"},{"key":"ref33","first-page":"13114","article-title":"Viewpoint-aware loss with angular regularization for person re-identification","volume":"34","author":"zhu","year":"2020","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3104141"},{"key":"ref2","article-title":"Sensor-based and vision-based human activity recognition: A comprehensive survey","volume":"108","author":"dang","year":"2020","journal-title":"Pattern Recognit"},{"key":"ref1","first-page":"1","article-title":"Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities","volume":"54","author":"chen","year":"2021","journal-title":"ACM Comput Surveys"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-2113-7"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3033173"},{"key":"ref24","first-page":"12104","article-title":"Training generative adversarial networks with limited data","volume":"33","author":"karras","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref26","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"2017","journal-title":"Proc 30th Adv Neural Inf Process Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00927"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00408"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/121"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3112039"},{"key":"ref28","first-page":"1453","article-title":"Regularization via structural label smoothing","volume":"108","author":"li","year":"2020","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref27","first-page":"422","article-title":"When does label smoothing help?","author":"muller","year":"2019","journal-title":"Proc 33rd Int Conf Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3034900"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01172"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164.2021.9629941"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/int.22434"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10175002\/10066505.pdf?arnumber=10066505","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T17:40:38Z","timestamp":1690825238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10066505\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,15]]},"references-count":62,"journal-issue":{"issue":"14"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2023.3256324","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,15]]}}}