{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T15:33:09Z","timestamp":1777390389247,"version":"3.51.4"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFB1313503"],"award-info":[{"award-number":["2020YFB1313503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61922019"],"award-info":[{"award-number":["61922019"]}],"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":["11971220"],"award-info":[{"award-number":["11971220"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017610","name":"Shenzhen Science and Technology Program","doi-asserted-by":"publisher","award":["RCYX20200714114700072"],"award-info":[{"award-number":["RCYX20200714114700072"]}],"id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Stable Support Plan Program of Shenzhen Natural Science Fund","award":["20200925152128002"],"award-info":[{"award-number":["20200925152128002"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2019A1515011152"],"award-info":[{"award-number":["2019A1515011152"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009059","name":"Pacific Institute for the Mathematical Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009059","id-type":"DOI","asserted-by":"publisher"}]},{"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"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3140607","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T20:39:59Z","timestamp":1641933599000},"page":"1190-1203","source":"Crossref","is-referenced-by-count":11,"title":["Task-Oriented Convex Bilevel Optimization With Latent Feasibility"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9554-0565","authenticated-orcid":false,"given":"Risheng","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5125-0198","authenticated-orcid":false,"given":"Long","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6900-6983","authenticated-orcid":false,"given":"Xiaoming","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Shangzhi","family":"Zeng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6691-5612","authenticated-orcid":false,"given":"Jin","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21236\/ADA580738"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2848470"},{"key":"ref4","first-page":"1","article-title":"Partially view-aligned clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Huang"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-013-0701-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2920591"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3004733"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014368"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1561\/2200000050"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2810539"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-45827-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-009-9045-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126278"},{"key":"ref17","first-page":"1033","article-title":"Fast image deconvolution using hyper-Laplacian priors","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Krishnan"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366158"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2551244"},{"key":"ref20","first-page":"379","article-title":"Accelerated proximal gradient methods for nonconvex programming","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1561\/2200000058"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/12-STS400"},{"key":"ref23","article-title":"Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees","author":"Chen","year":"2015","journal-title":"arXiv:1509.03025"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2629286"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/16M1102884"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2873610"},{"key":"ref27","first-page":"5546","article-title":"Plug-and-play methods provably converge with properly trained denoisers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ryu"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2599778"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2869727"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2019.2893568"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3094062"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2880326"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3066053"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/20M1337168"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3075092"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3006390"},{"issue":"2","key":"ref37","first-page":"227","article-title":"An explicit descent method for bilevel convex optimization","volume":"14","author":"Solodov","year":"2007","journal-title":"J. Convex Anal."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-013-0708-2"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1137\/16M105592X"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-87821-8"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/BF01581204"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1561\/9781601984616"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.909319"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206815"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00701"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2176954"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.142"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00334"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.491"},{"key":"ref52","first-page":"297","article-title":"Deep non-blind deconvolution via generalized low-rank approximation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ren"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2931240"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914728"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.4286571"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.02.019"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.09.007"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2503756"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-016-0647-7"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.431"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.01.010"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s101070100280"},{"key":"ref64","first-page":"1","article-title":"Discerning the linear convergence of ADMM for structured convex optimization through the lens of variational analysis","volume":"21","author":"Yuan","year":"2020","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09677918.pdf?arnumber=9677918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:28:39Z","timestamp":1705184919000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9677918\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3140607","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}