{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T04:04:14Z","timestamp":1782187454693,"version":"3.54.5"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","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":["62232004"],"award-info":[{"award-number":["62232004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012236","name":"Beijing Institute of Technology Research Fund Program for Young Scholars","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012236","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62332007"],"award-info":[{"award-number":["62332007"]}],"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":["U22B2028"],"award-info":[{"award-number":["U22B2028"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Major Project of Tibetan Autonomous Region of China","award":["XZ202201ZD0006G"],"award-info":[{"award-number":["XZ202201ZD0006G"]}]},{"name":"Open Research Fund of Machine Learning and Cyber Security Interdiscipline Research Engineering Center of Jiangsu Province","award":["SDGC2131"],"award-info":[{"award-number":["SDGC2131"]}]},{"name":"National Joint Engineering Research Center of Network Security Detection and Protection Technology"},{"name":"Guangdong Key Laboratory of Data Security and Privacy Preserving"},{"name":"Guangdong Hong Kong Joint Laboratory for Data Security and Privacy Protection"},{"name":"Engineering Research Center of Trustworthy AI"},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["21624329"],"award-info":[{"award-number":["21624329"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["12625611"],"award-info":[{"award-number":["12625611"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tmc.2025.3592965","type":"journal-article","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T17:58:38Z","timestamp":1753466318000},"page":"483-499","source":"Crossref","is-referenced-by-count":2,"title":["Imbalanced Semi-Supervised Learning for WiFi Gesture Recognition via Dynamic Threshold-Based Spatio-Temporal Attention Networks"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8523-5391","authenticated-orcid":false,"given":"Qihua","family":"Feng","sequence":"first","affiliation":[{"name":"Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9290-8272","authenticated-orcid":false,"given":"Chunhui","family":"Duan","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8384-9993","authenticated-orcid":false,"given":"Jiawei","family":"Xue","sequence":"additional","affiliation":[{"name":"Beijing Institute of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9867-1712","authenticated-orcid":false,"given":"Chaozhuo","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4294-0212","authenticated-orcid":false,"given":"Feiran","family":"Huang","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2111-7385","authenticated-orcid":false,"given":"Xi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4067-8230","authenticated-orcid":false,"given":"Jian","family":"Weng","sequence":"additional","affiliation":[{"name":"Jinan University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2133366.2133371"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3432235"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-020-00194-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-019-01225-0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9356-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00872"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2940386"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445367"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3448110"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3517241"},{"key":"ref11","article-title":"Hands-on wireless sensing with Wi-Fi: A tutorial","author":"Yang","year":"2022"},{"key":"ref12","article-title":"Deep learning and its applications to WiFi human sensing: A benchmark and A tutorial","author":"Yang","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3170157"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3105387"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3191755"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2941527"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3221902"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3631429"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3114309"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3307334.3326081"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2022.3163189"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3009561"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16103"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.03.137"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3064890"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3228820"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3284496"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3220219"},{"key":"ref29","article-title":"An overview of deep semi-supervised learning","author":"Ouali","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01071"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00116"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3495243.3560529"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2015.7218525"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2500423.2500436"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971738"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2942358.2942393"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3133114"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790129"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155539"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3485730.3485936"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01407"},{"key":"ref44","first-page":"3897","article-title":"Safe deep semi-supervised learning for unseen-class unlabeled data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Guo"},{"key":"ref45","first-page":"18408","article-title":"FlexMatch: Boosting semi-supervised learning with curriculum pseudo labeling","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00640"},{"key":"ref47","article-title":"FreeMatch: Self-adaptive thresholding for semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang"},{"key":"ref48","article-title":"SoftMatch: Addressing the quantity-quality trade-off in semi-supervised learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i12.29260"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00421"},{"key":"ref51","first-page":"22243","article-title":"Big self-supervised models are strong semi-supervised learners","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref52","first-page":"7029","article-title":"Learning to model the tail","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref53","first-page":"8082","article-title":"Class-imbalanced semi-supervised learning with adaptive thresholding","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Guo"},{"key":"ref54","first-page":"1565","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Cao"},{"key":"ref55","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Sohn"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d19-1670"},{"key":"ref57","first-page":"7354","article-title":"Self-attention generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737500"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1058"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2034"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109935"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103153"},{"key":"ref63","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2016"},{"key":"ref64","article-title":"Layer normalization","author":"Ba","year":"2016"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3370668"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00026"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3164083"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref74","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"issue":"1","key":"ref75","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00560"},{"key":"ref77","article-title":"Long-tail learning via logit adjustment","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Menon"},{"issue":"11","key":"ref78","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/3659620"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3026732"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11275706\/11097060.pdf?arnumber=11097060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T09:07:51Z","timestamp":1764839271000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11097060\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":80,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3592965","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}