{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T04:22:22Z","timestamp":1775362942911,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"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":["51775385"],"award-info":[{"award-number":["51775385"]}],"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":["61703279"],"award-info":[{"award-number":["61703279"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Strategy Research Project of Artificial Intelligence Algorithms of Ministry of Education of China","award":["000011"],"award-info":[{"award-number":["000011"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004054","name":"Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah","doi-asserted-by":"publisher","award":["RG-21-135-38"],"award-info":[{"award-number":["RG-21-135-38"]}],"id":[{"id":"10.13039\/501100004054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/tcss.2020.3001517","type":"journal-article","created":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T20:13:19Z","timestamp":1593115999000},"page":"1047-1057","source":"Crossref","is-referenced-by-count":40,"title":["Enhanced Subspace Distribution Matching for Fast Visual Domain Adaptation"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7128-6913","authenticated-orcid":false,"given":"Qi","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siya","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5408-8752","authenticated-orcid":false,"given":"MengChu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8025-0453","authenticated-orcid":false,"given":"Abdullah","family":"Abusorrah","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Faculty of Engineering, and Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00845"},{"key":"ref38","first-page":"718","article-title":"Auggan: Cross domain adaptation with GAN-based data augmentation","author":"huang","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref33","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume":"70","author":"long","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref32","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"arXiv 1502 02791"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00234"},{"key":"ref30","article-title":"Unsupervised multi-class domain adaptation: Theory, algorithms, and practice","author":"zhang","year":"2020","journal-title":"arXiv 2002 08681"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00260"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00832"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01053"},{"key":"ref34","article-title":"Wasserstein distance guided representation learning for domain adaptation","author":"shen","year":"2017","journal-title":"arXiv 1707 01217"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.368"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944455"},{"key":"ref2","article-title":"A survey of unsupervised deep domain adaptation","author":"wilson","year":"2018","journal-title":"arXiv 1812 02849"},{"key":"ref1","article-title":"A comprehensive survey on transfer learning","author":"zhuang","year":"2019","journal-title":"arXiv 1911 02685"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref22","first-page":"2168","article-title":"Robust visual domain adaptation with low-rank reconstruction","author":"jhuo","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2964790"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICNSC.2018.8361269"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240512"},{"key":"ref25","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2990103"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2989213"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2020.102703"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2818175"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.03.019"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01216"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00258"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00235"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00253"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00261"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2606104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2755595"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref18","first-page":"513","article-title":"A kernel method for the two-sample-problem","author":"gretton","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/11564089_7"},{"key":"ref4","article-title":"Universal domain adaptation through self supervision","author":"saito","year":"2020","journal-title":"arXiv 2002 07953"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00576"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.01.001"},{"key":"ref5","article-title":"Cross-domain self-supervised learning for domain adaptation with few source labels","author":"kim","year":"2020","journal-title":"arXiv 2003 08264"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0944-x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2518700"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.05.008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2933509"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510583"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2017.2782008"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2958741"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00162"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2935384"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/72.914517"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00400"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570650\/9158594\/09126270.pdf?arnumber=9126270","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T19:06:38Z","timestamp":1708110398000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9126270\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":55,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2020.3001517","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}