{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:07:28Z","timestamp":1780589248999,"version":"3.54.1"},"reference-count":38,"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":["61991412"],"award-info":[{"award-number":["61991412"]}],"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":["12001318"],"award-info":[{"award-number":["12001318"]}],"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":["61801264"],"award-info":[{"award-number":["61801264"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2022YFB3206900"],"award-info":[{"award-number":["2022YFB3206900"]}]},{"name":"National Key R&D Program of China","award":["2022YFB3206903"],"award-info":[{"award-number":["2022YFB3206903"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/lsp.2023.3263799","type":"journal-article","created":{"date-parts":[[2023,3,31]],"date-time":"2023-03-31T14:18:08Z","timestamp":1680272288000},"page":"364-368","source":"Crossref","is-referenced-by-count":4,"title":["Cascaded Compressed Sensing Networks"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3812-7405","authenticated-orcid":false,"given":"Weizhi","family":"Lu","sequence":"first","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingrui","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2959-977X","authenticated-orcid":false,"given":"Kai","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Control Science and Engineering, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6488-6598","authenticated-orcid":false,"given":"Weiyu","family":"Li","sequence":"additional","affiliation":[{"name":"Zhongtai Securities Institute for Financial Studies, Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00444-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.10.011"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2003.820031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0437847100"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1137\/S003614450037906X"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"ref8","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.858979"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00365-007-9003-x"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref13","article-title":"Assessing the scalability of biologically-motivated deep learning algorithms and architectures","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Bartunov","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23528-8_31"},{"key":"ref15","article-title":"How auto-encoders could provide credit assignment in deep networks via target propagation","author":"Bengio","year":"2014"},{"key":"ref16","first-page":"583","article-title":"Greedy layerwise learning can scale to imagenet","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Belilovsky","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI50040.2020.00046"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref19","article-title":"Deep ADMM-Net for compressive sensing MRI","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Sun","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58542-6_31"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2611583"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2914376"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2997289"},{"key":"ref25","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proc. 14th Int. Conf. Artif. Intell. Statist. Workshop","author":"Glorot","year":"2011"},{"key":"ref26","volume-title":"A Wavelet Tour of Signal Processing: The Sparse Way","author":"Mallat","year":"2009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2226445"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.420"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1090\/conm\/026\/737400"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2430359"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/78.258082"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms13276"},{"key":"ref33","article-title":"Direct feedback alignment provides learning in deep neural networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Nkland","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/8996.003.0015"},{"key":"ref35","first-page":"4839","article-title":"Training neural networks with local error signals","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nkland","year":"2019"},{"key":"ref36","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2740965"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/10036333\/10089417.pdf?arnumber=10089417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:53:31Z","timestamp":1776887611000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10089417\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/lsp.2023.3263799","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}