{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:03:28Z","timestamp":1778601808947,"version":"3.51.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Research Grants Council, University Grants Committee","doi-asserted-by":"publisher","award":["CityU 11300715"],"award-info":[{"award-number":["CityU 11300715"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007567","name":"City University of Hong Kong","doi-asserted-by":"publisher","award":["7004884"],"award-info":[{"award-number":["7004884"]}],"id":[{"id":"10.13039\/100007567","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502173"],"award-info":[{"award-number":["61502173"]}],"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":["U1611461"],"award-info":[{"award-number":["U1611461"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2016A030310422"],"award-info":[{"award-number":["2016A030310422"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61722205"],"award-info":[{"award-number":["61722205"]}],"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":["61751205"],"award-info":[{"award-number":["61751205"]}],"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":["61572199"],"award-info":[{"award-number":["61572199"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1109\/tcyb.2018.2864107","type":"journal-article","created":{"date-parts":[[2018,8,23]],"date-time":"2018-08-23T19:11:16Z","timestamp":1535051476000},"page":"74-86","source":"Crossref","is-referenced-by-count":22,"title":["Multitask Feature Selection by Graph-Clustered Feature Sharing"],"prefix":"10.1109","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7204-7030","authenticated-orcid":false,"given":"Cheng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chu-Tao","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4022-0852","authenticated-orcid":false,"given":"Si","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0935-5890","authenticated-orcid":false,"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1530-7529","authenticated-orcid":false,"given":"Hau-San","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"737","article-title":"Multi-task learning via conic programming","author":"kato","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.2202\/1544-6115.1730"},{"key":"ref33","first-page":"988","article-title":"Exclusive lasso for multi-task feature selection","volume":"9","author":"zhou","year":"2010","journal-title":"Proc AISTATS"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2538028"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539975"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2452911"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020549"},{"key":"ref35","author":"zhou","year":"2011","journal-title":"MALSAR Multi-tAsk Learning Via StructurAl Regularization"},{"key":"ref34","first-page":"702","article-title":"Clustered multi-task learning via alternating structure optimization","author":"zhou","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","first-page":"1638","article-title":"Multi-stage multi-task learning with reduced rank","author":"han","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref40","first-page":"49","article-title":"Convex multitask learning with flexible task clusters","author":"zhong","year":"2012","journal-title":"Proc 29th Int Conf Mach Learn"},{"key":"ref11","first-page":"1073","article-title":"A probabilistic model for dirty multi-task feature selection","author":"hern\u00e1ndez-lobato","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref12","first-page":"745","article-title":"Clustered multi-task learning: A convex formulation","author":"jacob","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","first-page":"964","article-title":"A dirty model for multi-task learning","author":"jalali","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"521","article-title":"Learning with whom to share in multi-task feature learning","author":"kang","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1214\/12-AOAS549"},{"key":"ref16","first-page":"1383","article-title":"Learning task grouping and overlap in multi-task learning","author":"kumar","year":"2012","journal-title":"Proc 29th Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-008-0076-1"},{"key":"ref18","first-page":"1306","article-title":"Adaptive multi-task lasso: With application to eQTL detection","author":"lee","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2537337"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.30"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.189"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1214\/11-AOAS514"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref29","first-page":"1931","article-title":"Exploiting task-feature co-clusters in multi-task learning","author":"xu","year":"2015","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020423"},{"key":"ref8","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339672"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783393"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5040-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2347372"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670949"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2362959"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2338893"},{"key":"ref24","first-page":"1867","article-title":"Large margin multi-task metric learning","author":"parameswaran","year":"2010","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2269765"},{"key":"ref23","first-page":"1693","article-title":"Multi-task feature selection","volume":"17","author":"obozinski","year":"2006"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICIAP.2007.4362840"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000013087.49260.fb"},{"key":"ref25","first-page":"951","article-title":"Exploiting unrelated tasks in multi-task learning","volume":"22","author":"romera-paredes","year":"2012","journal-title":"Proc Int Conf Artif Intell Stat"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8879634\/08444666.pdf?arnumber=8444666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:20:47Z","timestamp":1651080047000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8444666\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1]]},"references-count":44,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2018.2864107","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1]]}}}