{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T22:29:50Z","timestamp":1784413790549,"version":"3.55.0"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"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":["61876208"],"award-info":[{"award-number":["61876208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2018B010108002"],"award-info":[{"award-number":["2018B010108002"]}]},{"name":"Pearl River S&amp;T Nova Program of Guangzhou","award":["201806010081"],"award-info":[{"award-number":["201806010081"]}]},{"name":"HKRGC","award":["GRF 12200317"],"award-info":[{"award-number":["GRF 12200317"]}]},{"name":"HKRGC","award":["12300218"],"award-info":[{"award-number":["12300218"]}]},{"name":"HKRGC","award":["12300519"],"award-info":[{"award-number":["12300519"]}]},{"name":"HKRGC","award":["17201020"],"award-info":[{"award-number":["17201020"]}]},{"name":"HKU-TCL Joint Research Centre for Artificial Intelligence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,11,1]]},"DOI":"10.1109\/tkde.2021.3060037","type":"journal-article","created":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T21:33:49Z","timestamp":1613684029000},"page":"5536-5551","source":"Crossref","is-referenced-by-count":21,"title":["Transferable Feature Selection for Unsupervised Domain Adaptation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9879-4758","authenticated-orcid":false,"given":"Yuguang","family":"Yan","sequence":"first","affiliation":[{"name":"Department of Mathematics, The University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3565-6635","authenticated-orcid":false,"given":"Hanrui","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Mathematics, The University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuzhong","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaoyang","family":"Bi","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Lu","sequence":"additional","affiliation":[{"name":"Tencent, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dapeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Tencent, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6771-3932","authenticated-orcid":false,"given":"Qingyao","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Software Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6833-5227","authenticated-orcid":false,"given":"Michael K.","family":"Ng","sequence":"additional","affiliation":[{"name":"Department of Mathematics, The University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2347059"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2330900"},{"key":"ref4","first-page":"2456","article-title":"Co-training for domain adaptation","volume-title":"Proc. 24th Int. Conf. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8961"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.97"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.111"},{"key":"ref8","first-page":"1280","article-title":"Domain adaptation with topical correspondence learning","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Chen"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10211"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2685597"},{"key":"ref11","first-page":"1108","article-title":"Adaptive localization in a dynamic WiFi environment through multi-view learning","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Pan"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539870"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.265"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.547"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.57"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.451"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2547397"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0080"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.301"},{"key":"ref23","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref24","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Long"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.88"},{"issue":"Aug","key":"ref27","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"Fan","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","first-page":"711","article-title":"Learning with augmented features for heterogeneous domain adaptation","volume-title":"Proc. 29th Int. Conf. Mach. Learn.","author":"Duan"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v25i1.7932"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.167"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.549"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/454"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.72"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.107"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899037"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2373376"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2669193"},{"key":"ref40","first-page":"1627","article-title":"Marginalized denoising autoencoders for domain adaptation","volume-title":"Proc. 29th Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2819503"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl242"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_3"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10306"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1561\/2200000073"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3014697"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3391229"},{"key":"ref50","first-page":"666","article-title":"M\u00e9moire sur la th\u00e9orie des d\u00e9blais et des remblais","author":"Monge","year":"1781","journal-title":"Histoire de l\u2019Acad\u00e9mie Royale des Sciences de Paris"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.5.1.1"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71050-9"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44848-9_18"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2615921"},{"key":"ref55","first-page":"3733","article-title":"Joint distribution optimal transportation for domain adaptation","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Courty"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/412"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2554549"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2868685"},{"key":"ref59","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin"},{"issue":"59","key":"ref60","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910667"},{"key":"ref62","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Long"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2263427"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2875002"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2869101"},{"key":"ref66","first-page":"1047","article-title":"Learning sparse SVM for feature selection on very high dimensional datasets","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"issue":"1","key":"ref67","first-page":"1371","article-title":"Towards ultrahigh dimensional feature selection for big data","volume":"15","author":"Tan","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2935449"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23808-6_28"},{"key":"ref70","first-page":"1697","article-title":"Joint feature selection and structure preservation for domain adaptation","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Li"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-10928-8_45"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2863240"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2944226"},{"key":"ref74","first-page":"408","article-title":"A dual coordinate descent method for large-scale linear SVM","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chang"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-9054-3_4"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s40305-015-0105-z"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15561-1_16"},{"key":"ref78","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Donahue"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.59"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.123"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref82","first-page":"28","article-title":"Learning from multiple partially observed views-an application to multilingual text categorization","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Amini"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105155"},{"key":"ref84","first-page":"440","article-title":"Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification","volume-title":"Proc. Annu. Meeting Assoc. Comput. Linguistics","author":"Blitzer"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2014.06.003"},{"key":"ref86","first-page":"1275","article-title":"Information-theoretical learning of discriminative clusters for unsupervised domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shi"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9913316\/09357986.pdf?arnumber=9357986","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:23:55Z","timestamp":1704842635000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9357986\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":86,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3060037","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}