{"id":"https://openalex.org/W4364322808","doi":"https://doi.org/10.1109/tip.2023.3263100","title":"Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing","display_name":"Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4364322808","doi":"https://doi.org/10.1109/tip.2023.3263100","pmid":"https://pubmed.ncbi.nlm.nih.gov/37037236"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3263100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3263100","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.16060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079849461","display_name":"Jiechong Song","orcid":"https://orcid.org/0000-0001-7064-8097"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiechong Song","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427384","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-9056-3717"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409856","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-5486-3125"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079849461"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":19.6953,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.99849534,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"2202","last_page":"2214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8988442420959473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558835744857788},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6824640035629272},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.61505126953125},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5362998843193054},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5049260258674622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5019207000732422},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4908321499824524},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4251798093318939},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41220709681510925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3534567654132843},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08945709466934204}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8988442420959473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558835744857788},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6824640035629272},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.61505126953125},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5362998843193054},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5049260258674622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5019207000732422},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4908321499824524},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4251798093318939},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41220709681510925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3534567654132843},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08945709466934204},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2023.3263100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3263100","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:37037236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37037236","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2306.16060","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.16060","pdf_url":"https://arxiv.org/pdf/2306.16060","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.16060","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.16060","pdf_url":"https://arxiv.org/pdf/2306.16060","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8533630715","display_name":null,"funder_award_id":"61902009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1539551155","https://openalex.org/W1906770428","https://openalex.org/W1969430823","https://openalex.org/W1973711324","https://openalex.org/W1979479847","https://openalex.org/W2036648611","https://openalex.org/W2042430763","https://openalex.org/W2045737896","https://openalex.org/W2049819383","https://openalex.org/W2070544768","https://openalex.org/W2122548617","https://openalex.org/W2145096794","https://openalex.org/W2154423986","https://openalex.org/W2194775991","https://openalex.org/W2273561594","https://openalex.org/W2342838199","https://openalex.org/W2500374603","https://openalex.org/W2566752166","https://openalex.org/W2613155248","https://openalex.org/W2741137940","https://openalex.org/W2752782242","https://openalex.org/W2776500869","https://openalex.org/W2784344583","https://openalex.org/W2798559986","https://openalex.org/W2900808826","https://openalex.org/W2914390600","https://openalex.org/W2941471678","https://openalex.org/W2962778775","https://openalex.org/W2962944050","https://openalex.org/W2963081547","https://openalex.org/W2963393494","https://openalex.org/W2963676935","https://openalex.org/W2964046397","https://openalex.org/W2972252504","https://openalex.org/W2981551308","https://openalex.org/W2982853315","https://openalex.org/W3009991223","https://openalex.org/W3018622322","https://openalex.org/W3081833727","https://openalex.org/W3087291587","https://openalex.org/W3098593035","https://openalex.org/W3109140579","https://openalex.org/W3115447952","https://openalex.org/W3115657431","https://openalex.org/W3167568784","https://openalex.org/W3170885011","https://openalex.org/W3173521009","https://openalex.org/W3173563887","https://openalex.org/W3174300208","https://openalex.org/W3188921881","https://openalex.org/W3190499751","https://openalex.org/W3204647170","https://openalex.org/W3205675531","https://openalex.org/W3207346178","https://openalex.org/W3207407006","https://openalex.org/W3212176785","https://openalex.org/W4214609808","https://openalex.org/W4226232786","https://openalex.org/W4234992901","https://openalex.org/W4288054364","https://openalex.org/W4293518741","https://openalex.org/W4307842584","https://openalex.org/W4312534645","https://openalex.org/W4313524853","https://openalex.org/W6729448088","https://openalex.org/W6796696352"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2183638083","https://openalex.org/W2119138398","https://openalex.org/W2896778670","https://openalex.org/W2037384153","https://openalex.org/W2306351532","https://openalex.org/W2598979711"],"abstract_inverted_index":{"Deep":[0,91],"unfolding":[1],"network":[2,13],"(DUN)":[3],"that":[4,123],"unfolds":[5],"the":[6,41,45,69,144],"optimization":[7],"algorithm":[8],"into":[9],"a":[10,59,87,104,139],"deep":[11],"neural":[12],"has":[14],"achieved":[15],"great":[16],"success":[17],"in":[18,32,38,150],"compressive":[19],"sensing":[20],"(CS)":[21],"due":[22],"to":[23,35,50,75,137,147],"its":[24],"good":[25],"interpretability":[26],"and":[27,64,85,106,112,129,134],"high":[28],"performance.":[29],"Each":[30],"stage":[31],"DUN":[33],"corresponds":[34],"one":[36],"iteration":[37],"optimization.":[39],"At":[40],"test":[42],"time,":[43],"all":[44,54],"sampling":[46],"images":[47,70],"generally":[48],"need":[49],"be":[51],"processed":[52],"by":[53,115],"stages,":[55],"which":[56],"comes":[57],"at":[58,155],"price":[60],"of":[61],"computation":[62],"burden":[63],"is":[65,113,126],"also":[66],"unnecessary":[67],"for":[68,109],"whose":[71],"contents":[72],"are":[73,153],"easier":[74],"restore.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"focus":[81],"on":[82],"CS":[83],"reconstruction":[84],"propose":[86],"novel":[88],"Dynamic":[89],"Path-Controllable":[90],"Unfolding":[92],"Network":[93],"(DPC-DUN).":[94],"DPC-DUN":[95,125],"with":[96],"our":[97,124],"designed":[98],"path-controllable":[99],"selector":[100],"can":[101,130],"dynamically":[102],"select":[103],"rapid":[105],"appropriate":[107],"route":[108],"each":[110],"image":[111],"slimmable":[114],"regulating":[116],"different":[117],"performance-complexity":[118],"tradeoffs.":[119],"Extensive":[120],"experiments":[121],"show":[122],"highly":[127],"flexible":[128],"provide":[131],"excellent":[132],"performance":[133],"dynamic":[135],"adjustment":[136],"get":[138],"suitable":[140],"tradeoff,":[141],"thus":[142],"addressing":[143],"main":[145],"requirements":[146],"become":[148],"appealing":[149],"practice.":[151],"Codes":[152],"available":[154],"https://github.com/songjiechong/DPC-DUN.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
