{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:56:55Z","timestamp":1783439815048,"version":"3.54.6"},"reference-count":54,"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":[{"name":"New Generation AI Major Project of Ministry of Science and Technology of China","award":["2018AAA0102501"],"award-info":[{"award-number":["2018AAA0102501"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2027"],"award-info":[{"award-number":["U21B2027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Inform. Theory"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tit.2022.3196707","type":"journal-article","created":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T19:33:18Z","timestamp":1659727998000},"page":"650-665","source":"Crossref","is-referenced-by-count":26,"title":["Recovery of Future Data via Convolution Nuclear Norm Minimization"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9428-4387","authenticated-orcid":false,"given":"Guangcan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Automation, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8415-1062","authenticated-orcid":false,"given":"Wayne","family":"Zhang","sequence":"additional","affiliation":[{"name":"SenseTime Group Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.01.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.04.014"},{"key":"ref3","first-page":"1","article-title":"Deep multi-scale video prediction beyond mean square error","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Mathieu"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.03.015"},{"key":"ref5","article-title":"Principles and algorithms for forecasting groups of time series: Locality and globality","author":"Montero-Manso","year":"2020","journal-title":"arXiv:2008.00444"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2015.01.006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914731"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.858979"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511794308.002"},{"key":"ref10","first-page":"836","article-title":"Low-rank matrix and tensor completion via adaptive sampling","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Krishnamurthy"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-015-9269-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2019.2959980"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3062995"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-009-9045-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2104999"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.39"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2762595"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2891760"},{"key":"ref19","first-page":"785","article-title":"A new theory for matrix completion","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2937869"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/18.959265"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2375259"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2006.286463"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2010.5464880"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2362055"},{"key":"ref26","article-title":"Matrix rank minimization with applications","author":"Fazel","year":"2002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1137\/s0895479896305696"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.4236\/jsip.2012.31013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1063\/1.3078420"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827598341384"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1137\/080724265"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2586753"},{"key":"ref34","first-page":"2973","article-title":"Matrix completion has no spurious local minimum","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Ge"},{"key":"ref35","first-page":"5689","article-title":"GAIN: Missing data imputation using generative adversarial nets","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yoon"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2415195"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2035722"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LPE.1996.547537"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1374376.1374458"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-011-9375-9"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/0898-1221(76)90003-1"},{"key":"ref43","article-title":"The augmented Lagrange multiplier method for exact recovery of corrupted low-rank matrices","author":"Lin","year":"2009"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref45","first-page":"4476","article-title":"Faster and non-ergodic O(1\/k) stochastic alternating direction method of multipliers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Fang"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1998.681704"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1085"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2022.3144605"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/S0097539792240406"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1515\/9781400873173"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2027527"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.126"},{"key":"ref54","article-title":"Estimation of low-rank tensors via convex optimization","author":"Tomioka","year":"2010","journal-title":"arXiv:1010.0789"}],"container-title":["IEEE Transactions on Information Theory"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/18\/9997158\/09851461.pdf?arnumber=9851461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T04:21:08Z","timestamp":1709353268000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9851461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":54,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tit.2022.3196707","relation":{},"ISSN":["0018-9448","1557-9654"],"issn-type":[{"value":"0018-9448","type":"print"},{"value":"1557-9654","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}