{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T04:13:01Z","timestamp":1775880781171,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["61772108"],"award-info":[{"award-number":["61772108"]}],"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":["61932020"],"award-info":[{"award-number":["61932020"]}],"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":["61976038"],"award-info":[{"award-number":["61976038"]}],"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":["U1908210"],"award-info":[{"award-number":["U1908210"]}],"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":["61976042"],"award-info":[{"award-number":["61976042"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tnnls.2021.3093468","type":"journal-article","created":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T19:30:15Z","timestamp":1625859015000},"page":"264-277","source":"Crossref","is-referenced-by-count":110,"title":["Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8676-1190","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[{"name":"Dalian University of Technology-Ritsumeikan University (DUT-RU) International School of Information Science & Engineering, Dalian University of Technology, Dalian, Liaoning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3882-2205","authenticated-orcid":false,"given":"Haojie","family":"Li","sequence":"additional","affiliation":[{"name":"Dalian University of Technology-Ritsumeikan University (DUT-RU) International School of Information Science & Engineering, Dalian University of Technology, Dalian, Liaoning, China"}]},{"given":"Zhengming","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Tulane University, New Orleans, LA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-6519","authenticated-orcid":false,"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi’an, Shanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1139-8654","authenticated-orcid":false,"given":"Junyang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9519-612X","authenticated-orcid":false,"given":"Xiao","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Sun Yat-sen University, Guangzhou, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5011-9726","authenticated-orcid":false,"given":"Zhihui","family":"Wang","sequence":"additional","affiliation":[{"name":"Dalian University of Technology-Ritsumeikan University (DUT-RU) International School of Information Science & Engineering, Dalian University of Technology, Dalian, Liaoning, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868854"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2913723"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868709"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2728719"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2538282"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2308325"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178556"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13560-1_76"},{"key":"ref12","article-title":"Deep domain confusion: Maximizing for domain invariance","author":"Tzeng","year":"2014","journal-title":"arXiv:1412.3474"},{"key":"ref13","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. ICML","author":"Long"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.150"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240512"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.107"},{"key":"ref17","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. ICML","author":"Long"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5745"},{"key":"ref19","first-page":"1081","article-title":"Transferability vs. discriminability: Batch spectral penalization for adversarial domain adaptation","volume-title":"Proc. ICML","author":"Chen"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.111"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0944-x"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2599532"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.547"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839528"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2820174"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924174"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2861858"},{"key":"ref30","first-page":"3320","article-title":"How transferable are features in deep neural networks","volume-title":"Proc. NIPS","author":"Yosinski"},{"key":"ref31","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. NIPS","author":"Krizhevsky"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107803"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2958152"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2832198"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00309"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6091"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623726"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_3"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"issue":"2","key":"ref40","first-page":"59:1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","volume-title":"Proc. NIPS","author":"Long"},{"key":"ref42","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. NIPS","author":"Long"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00400"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref45","first-page":"7404","article-title":"Bridging theory and algorithm for domain adaptation","volume-title":"Proc. ICML","author":"Zhang"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015345"},{"key":"ref47","first-page":"4013","article-title":"Transferable adversarial training: A general approach to adapting deep classifiers","volume-title":"Proc. ICML","author":"Liu"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10007736\/09478936.pdf?arnumber=9478936","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:38:57Z","timestamp":1705016337000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9478936\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":50,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3093468","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}