{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T20:17:26Z","timestamp":1783455446624,"version":"3.55.0"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"AIMfg, A&#x002A;STAR, Singapore"},{"name":"MTI WS Fund","award":["W24MCMF012"],"award-info":[{"award-number":["W24MCMF012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tpami.2026.3681762","type":"journal-article","created":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T19:59:33Z","timestamp":1775591973000},"page":"9589-9605","source":"Crossref","is-referenced-by-count":0,"title":["Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation"],"prefix":"10.1109","volume":"48","author":[{"given":"Yucheng","family":"Wang","sequence":"first","affiliation":[{"name":"Institute for Infocomm Research and AI Centre of Excellence for Manufacturing (AIMfg), A&#x002A;STAR, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2611-3145","authenticated-orcid":false,"given":"Peiliang","family":"Gong","sequence":"additional","affiliation":[{"name":"College of Computing and Data Science, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0977-3600","authenticated-orcid":false,"given":"Min","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research and AIMfg, A&#x002A;STAR, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4392-0830","authenticated-orcid":false,"given":"Felix","family":"Ott","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Integrated Circuits IIS, N&#x00FC;rnberg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0762-6562","authenticated-orcid":false,"given":"Xiaoli","family":"Li","sequence":"additional","affiliation":[{"name":"Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7137-4136","authenticated-orcid":false,"given":"Lihua","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1719-0328","authenticated-orcid":false,"given":"Zhenghua","family":"Chen","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow, Glasgow, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2024.3355750"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3443141"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548167"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i14.29500"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2972443"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE65448.2025.00149"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3400066"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014951"},{"key":"ref9","first-page":"1081","article-title":"Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3370978"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599507"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3587937"},{"key":"ref13","first-page":"295","article-title":"Variational Recurrent Adversarial Deep Domain Adaptation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Purushotham","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/378"},{"key":"ref15","first-page":"12746","article-title":"Domain adaptation for time series under feature and label shifts","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"He","year":"2023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16846"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403228"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298346"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3293473"},{"key":"ref20","first-page":"24597","article-title":"Contrastive learning for unsupervised domain adaptation of time series","volume-title":"Proc. ICLR","author":"Ozyurt","year":"2023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26221"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3444904"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106230"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635802"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00997"},{"key":"ref26","first-page":"29393","article-title":"Exploiting the intrinsic neighborhood structure for source-free domain adaptation","volume":"34","author":"Yang","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20850"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.08.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0371"},{"key":"ref30","first-page":"3635","article-title":"Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Huang","year":"2021"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00066"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-023-06432-8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/402"},{"key":"ref34","first-page":"23386","article-title":"Contrast and mix: Temporal contrastive video domain adaptation with background mixing","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Sahoo","year":"2021"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0773"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240549"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210003"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123313"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02255-5_5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02255-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671721"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3187"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00642"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121734"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2023.103747"},{"key":"ref46","first-page":"6028","article-title":"Do we really need to access the source data? Source hypothesis transfer for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liang","year":"2020"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/324"},{"key":"ref49","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","volume-title":"Proc. Eur. Symp. Artif. Neural Netw.","author":"Anguita","year":"2013"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.36001\/phme.2016.v3i1.1577"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809718"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/s18041122"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/INSS.2010.5573462"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0420"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-58347-1_10"},{"key":"ref58","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Long","year":"2018"},{"key":"ref59","first-page":"11246","article-title":"SF(DA)2: Source-free domain adaptation through the lens of data augmentation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hwang","year":"2024"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3337796"},{"key":"ref61","first-page":"1","article-title":"DUET: Dual-perspective pseudo labeling and uncertainty-aware exploration & exploitation training for source-free domain adaptation","volume-title":"Proc. 39th Annu. Conf. Neural Inf. Process. Syst.","author":"Lee","year":"2025"},{"key":"ref62","first-page":"35348","article-title":"Proxy denoising for source-free domain adaptation","volume-title":"Proc. 13th Int. Conf. Learn. Representations","author":"Tang","year":"2025"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.52202\/075280-2535"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3641289"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671451"},{"key":"ref66","first-page":"1","article-title":"Unified transferability metrics for time series foundation models","volume-title":"Proc. 39th Annu. Conf. Neural Inf. Process. Syst.","author":"Zhang","year":"2025"},{"key":"ref67","first-page":"1","article-title":"Mantis: Lightweight calibrated foundation model for user-friendly time series classification","volume-title":"Proc. 1st ICML Workshop Found. Models Structured Data","author":"Feofanov","year":"2025"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11595778\/11475771.pdf?arnumber=11475771","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T19:44:35Z","timestamp":1783453475000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11475771\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":67,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2026.3681762","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}