{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T18:02:55Z","timestamp":1767981775773,"version":"3.49.0"},"reference-count":65,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Alliance Grant funded by the Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Open J. Commun. Soc."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/ojcoms.2024.3465216","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T17:27:48Z","timestamp":1726853268000},"page":"6119-6134","source":"Crossref","is-referenced-by-count":4,"title":["Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5825-9760","authenticated-orcid":false,"given":"Borna","family":"Barahimi","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7379-6949","authenticated-orcid":false,"given":"Hina","family":"Tabassum","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"}]},{"given":"Mohammad","family":"Omer","sequence":"additional","affiliation":[{"name":"Department of Radio Intelligence, Research and Development, Cognitive Systems Corporation, Waterloo, ON, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1787-7100","authenticated-orcid":false,"given":"Omer","family":"Waqar","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3209144"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCA54724.2022.9831898"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SAHCN.2018.8397121"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3192973"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3032623"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2500423.2500436"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3063135"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3351279"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971744"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2679658"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2023.100703"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3310194"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241570"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3191755"},{"key":"ref15","volume-title":"Widar 3.0: WiFi-based activity recognition Dataset","author":"Zhang","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3228820"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref19","article-title":"BTS: Bifold teacher-student in semi-supervised learning for indoor two-room presence detection under time-varying CSI","author":"Shen","year":"2023","journal-title":"arXiv:2212.10802"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3560905.3568517"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3495243.3560529"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN52240.2021.9522151"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3219640"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps56602.2022.10008537"},{"key":"ref25","first-page":"1","article-title":"Unsupervised scalable representation learning for multivariate time series","volume-title":"Proc. 33rd Conf. Neural Inf. Process.","author":"Franceschi"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3308189"},{"key":"ref27","article-title":"Unsupervised representation learning by predicting image rotations","author":"Gidaris","year":"2018","journal-title":"arXiv:1803.07728"},{"key":"ref28","first-page":"12310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume-title":"Proc. 38th Int. conf. Mach. Learn.","author":"Zbontar"},{"key":"ref29","article-title":"VICReg: Variance-invariance-covariance regularization for self-supervised learning","author":"Bardes","year":"2022","journal-title":"arXiv:2105.04906"},{"key":"ref30","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018","journal-title":"arXiv:1807.03748"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700082"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s20041210"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1925861.1925870"},{"key":"ref34","first-page":"53","article-title":"Precise power delay profiling with commodity WiFi","volume-title":"Proc. 21st Annu. Int. Conf. Mobile Comput. Netw.","author":"Xie"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1145\/3131473.3131476","volume-title":"Nexmon: The C-based firmware patching framework","author":"Schulz","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2936580"},{"key":"ref37","first-page":"59","article-title":"Human activity recognition based on WiFi CSI data\u2014A deep neural network approach","volume-title":"Proc. 12th Int. Conf. Emerg. Ubiquitous Syst. Pervasive Netw. \/11th Int. Conf. Current Future Trends Inf. Commun. Technol. Healthc.","author":"Zhuravchak"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2878233"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3033173"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICC51166.2024.10622623"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16103"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2022.3163189"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3105387"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2018.8487345"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3163391"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref47","first-page":"26671","article-title":"Contrastive and non-contrastive self-supervised learning recover global and local spectral embedding methods","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Balestriero"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2024.3429245"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139042741"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013411"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322570"},{"key":"ref54","first-page":"238","article-title":"Contrastive representation learning for electroencephalogram classification","volume-title":"Proc. Mach. Learn. Health NeurIPS Workshop","author":"Mohsenvand"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3217292"},{"key":"ref56","article-title":"Scaling SGD batch size to 32K for ImageNet training","author":"You","year":"2017","journal-title":"arXiv:1708.03888"},{"key":"ref57","article-title":"SGDR: stochastic gradient descent with restarts","author":"Loshchilov","year":"2016","journal-title":"arXiv:1608.03983"},{"key":"ref58","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref59","article-title":"Understanding dimensional collapse in contrastive self-supervised learning","author":"Jing","year":"2021","journal-title":"arXiv:2110.09348"},{"issue":"11","key":"ref60","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":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313426"},{"key":"ref62","article-title":"MaskFi: Unsupervised learning of WiFi and vision representations for multimodal human activity recognition","author":"Yang","year":"2024","journal-title":"arXiv:2402.19258"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3203559"},{"key":"ref64","first-page":"1","article-title":"MM-Fi: Multi-modal non-intrusive 4D human dataset for versatile wireless sensing","volume-title":"Proc. 37th conf. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72946-1_5"}],"container-title":["IEEE Open Journal of the Communications Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8782661\/10362961\/10684811.pdf?arnumber=10684811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T17:26:17Z","timestamp":1727976377000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10684811\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/ojcoms.2024.3465216","relation":{},"ISSN":["2644-125X"],"issn-type":[{"value":"2644-125X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}