{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T20:04:44Z","timestamp":1772654684963,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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":["U1705262"],"award-info":[{"award-number":["U1705262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Fujian","award":["2020J01130193"],"award-info":[{"award-number":["2020J01130193"]}]},{"name":"Natural Science Foundation of Fujian","award":["2018J07005"],"award-info":[{"award-number":["2018J07005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2021.3124087","type":"journal-article","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T21:21:38Z","timestamp":1635888098000},"page":"228-242","source":"Crossref","is-referenced-by-count":16,"title":["Efficient and Differentiable Low-Rank Matrix Completion With Back Propagation"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7832-908X","authenticated-orcid":false,"given":"Zhaoliang","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}]},{"given":"Jie","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2928-8100","authenticated-orcid":false,"given":"Guobao","family":"Xiao","sequence":"additional","affiliation":[{"name":"College of Computer and Control Engineering, Minjiang University, Fuzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5195-9682","authenticated-orcid":false,"given":"Shiping","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2887018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICTC49870.2020.9289469"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2859026"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975931"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3031813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/734"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3003747"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2785784"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3062736"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2938664"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5751"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2949383"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2891760"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.271"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.125"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2777183"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2511584"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2012.05.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS729"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9464"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2465956"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0930-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2599290"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/89"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957925"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10646"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8210"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2013.2250577"},{"key":"ref31","first-page":"7413","article-title":"Implicit regularization in deep matrix factorization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Arora","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2912735"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104374"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref35","first-page":"10","article-title":"Deep ADMM-Net for compressive sensing MRI","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang","year":"2016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3101979"},{"key":"ref37","first-page":"6902","article-title":"Differentiable linearized ADMM","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","volume":"97","author":"Xie","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3082632"},{"key":"ref39","first-page":"556","article-title":"Algorithms for non-negative matrix factorization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lee","year":"2001"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2855433"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2747400"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2638624"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016196"},{"key":"ref44","first-page":"1574","article-title":"Stochastic proximal gradient descent with acceleration techniques","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Nitanda","year":"2014"},{"key":"ref45","first-page":"623","article-title":"Scalable collaborative filtering approaches for large recommender systems","volume":"10","author":"Takcs","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref46","first-page":"2287","article-title":"Spectral regularization algorithms for learning large incomplete matrices","volume":"11","author":"Mazumder","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10266"},{"key":"ref48","first-page":"620","article-title":"Tractable and scalable Schatten quasi-norm approximations for rank minimization","volume-title":"Proc. 19th Int. Conf. Artif. Intell. Stat.","volume":"51","author":"Shang","year":"2016"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2748590"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-013-0701-9"},{"issue":"6","key":"ref51","first-page":"615","article-title":"An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems","volume":"6","author":"Toh","year":"2010","journal-title":"Pacific J. Optim."},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.526"},{"key":"ref53","first-page":"3697","article-title":"Geometric matrix completion with recurrent multi-graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Monti","year":"2017"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2900572"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3005978"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/09599381.pdf?arnumber=9599381","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:56:34Z","timestamp":1705020994000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9599381\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3124087","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}