{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:09:27Z","timestamp":1784300967001,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,6,15]],"date-time":"2025-06-15T00:00:00Z","timestamp":1749945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,15]],"date-time":"2025-06-15T00:00:00Z","timestamp":1749945600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,15]],"date-time":"2025-06-15T00:00:00Z","timestamp":1749945600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Science Foundation","award":["CCF-2140154"],"award-info":[{"award-number":["CCF-2140154"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,6,15]]},"DOI":"10.1109\/jiot.2025.3551263","type":"journal-article","created":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T17:55:44Z","timestamp":1741974944000},"page":"21973-21983","source":"Crossref","is-referenced-by-count":3,"title":["<i>DisCovHAR<\/i>: Contrastive Attention for Human Activity Recognition Under Distribution Shifts"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8027-6047","authenticated-orcid":false,"given":"Luke","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0828-949X","authenticated-orcid":false,"given":"Mohanad","family":"Odema","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5390-0497","authenticated-orcid":false,"given":"Mohammad Abdullah Al","family":"Faruque","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3140465"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3008842"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2996578"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2985082"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3033430"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3038416"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3013272"},{"key":"ref8","article-title":"Human activity recognition based on wearable sensor data: A standardization of the state-of-the-art","author":"Jordao","year":"2019","journal-title":"arXiv:1806.05226"},{"key":"ref9","first-page":"38516","article-title":"On feature learning in the presence of spurious correlations","volume-title":"Proc. 36th NeurIPS","author":"Izmailov"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxz041"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3508352.3549430"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00823"},{"key":"ref13","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. 37th ICML","author":"Chen"},{"key":"ref14","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. 34th NeurIPS","author":"Khosla"},{"key":"ref15","first-page":"1","article-title":"Exploring contrastive learning in human activity recognition for healthcare","volume-title":"Proc. NeurIPS","author":"Tang"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539134"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00387"},{"key":"ref18","article-title":"Towards good practices in self-supervised representation learning","author":"Appalaraju","year":"2020","journal-title":"arXiv:2012.00868"},{"key":"ref19","article-title":"Unraveling projection heads in contrastive learning: Insights from expansion and shrinkage","author":"Gui","year":"2023","journal-title":"arXiv:2306.03335"},{"key":"ref20","article-title":"Understanding and improving the role of projection head in self-supervised learning","author":"Gupta","year":"2022","journal-title":"arXiv:2212.11491"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB52358.2021.9484410"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS52077.2021.00019"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3517246"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298346"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3239945"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110143"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00333"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3328932"},{"key":"ref29","first-page":"1","article-title":"Batch-instance normalization for adaptively style-invariant neural networks","volume-title":"Proc. 32nd NeurIPS","author":"Nam"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref31","first-page":"3396","article-title":"Cross-architecture knowledge distillation","volume-title":"Proc. ACCV","author":"Liu"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1502.03167"},{"key":"ref34","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"Ulyanov","year":"2017","journal-title":"arXiv:1607.08022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-60299-2_9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3659597"},{"key":"ref37","first-page":"1","article-title":"Reversible instance normalization for accurate time-series forecasting against distribution shift","volume-title":"Proc. ICLR","author":"Kim"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxt075"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370438"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref41","first-page":"1","article-title":"Domain-invariant feature exploration for domain generalization","author":"Lu","year":"2022","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref42","first-page":"1","article-title":"Finding order in chaos: A novel data augmentation method for time series in contrastive learning","volume-title":"Proc. 37th NeurIPS","author":"Demirel"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3136817"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11031138\/10925338.pdf?arnumber=10925338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T17:46:02Z","timestamp":1749750362000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10925338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,15]]},"references-count":43,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3551263","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,15]]}}}