{"id":"https://openalex.org/W4386072473","doi":"https://doi.org/10.1109/isit54713.2023.10206691","title":"Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing","display_name":"Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing","publication_year":2023,"publication_date":"2023-06-25","ids":{"openalex":"https://openalex.org/W4386072473","doi":"https://doi.org/10.1109/isit54713.2023.10206691"},"language":"en","primary_location":{"id":"doi:10.1109/isit54713.2023.10206691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101667907","display_name":"Yizhou Xu","orcid":"https://orcid.org/0000-0002-6918-8801"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yizhou Xu","raw_affiliation_strings":["Tsinghua University,School of Aerospace Engineering,Beijing,China","School of Aerospace Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Aerospace Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957678","display_name":"Yuhao Liu","orcid":"https://orcid.org/0000-0003-3098-957X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuHao Liu","raw_affiliation_strings":["Tsinghua University,Department of Mathematical Sciences,Beijing,China","Department of Mathematical Sciences, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Mathematical Sciences,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Mathematical Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091796742","display_name":"ShanSuo Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"ShanSuo Liang","raw_affiliation_strings":["Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]},{"raw_affiliation_string":"Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014288779","display_name":"Tingyi Wu","orcid":"https://orcid.org/0000-0002-9869-8384"},"institutions":[{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Tingyi Wu","raw_affiliation_strings":["Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]},{"raw_affiliation_string":"Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001405009","display_name":"Bo Bai","orcid":"https://orcid.org/0000-0003-4796-8249"},"institutions":[{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Bo Bai","raw_affiliation_strings":["Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]},{"raw_affiliation_string":"Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057057294","display_name":"Jean Barbier","orcid":"https://orcid.org/0000-0002-2652-6727"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jean Barbier","raw_affiliation_strings":["Tsinghua University,School of Aerospace Engineering,Beijing,China","School of Aerospace Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Aerospace Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060320373","display_name":"TianQi Hou","orcid":"https://orcid.org/0000-0003-1940-4833"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I4210108585","display_name":"Central Research Institute","ror":"https://ror.org/01wnfae18","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210108585"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"TianQi Hou","raw_affiliation_strings":["Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]},{"raw_affiliation_string":"Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I4210108585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101667907"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.9984,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77294418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6942009925842285},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5275649428367615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5070652961730957},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4964025616645813},{"id":"https://openalex.org/keywords/design-matrix","display_name":"Design matrix","score":0.496310293674469},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.4828965663909912},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4704436659812927},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.4144514203071594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3893032371997833},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35877376794815063},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3527790606021881},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.318986713886261},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.266837477684021},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13437947630882263},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09704479575157166},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07447963953018188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06850627064704895}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6942009925842285},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5275649428367615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5070652961730957},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4964025616645813},{"id":"https://openalex.org/C203233044","wikidata":"https://www.wikidata.org/wiki/Q5264358","display_name":"Design matrix","level":3,"score":0.496310293674469},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.4828965663909912},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4704436659812927},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.4144514203071594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3893032371997833},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35877376794815063},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3527790606021881},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.318986713886261},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.266837477684021},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13437947630882263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09704479575157166},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07447963953018188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06850627064704895},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit54713.2023.10206691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit54713.2023.10206691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1837352444","https://openalex.org/W1909826856","https://openalex.org/W2039957496","https://openalex.org/W2072184935","https://openalex.org/W2092639489","https://openalex.org/W2102251435","https://openalex.org/W2128765501","https://openalex.org/W2150498905","https://openalex.org/W2166347904","https://openalex.org/W2540066350","https://openalex.org/W2577079242","https://openalex.org/W2610971674","https://openalex.org/W2747773209","https://openalex.org/W2781017182","https://openalex.org/W2942034734","https://openalex.org/W2945463326","https://openalex.org/W2951974280","https://openalex.org/W2963602028","https://openalex.org/W2963604059","https://openalex.org/W2975261649","https://openalex.org/W3000622525","https://openalex.org/W3007447106","https://openalex.org/W3038909758","https://openalex.org/W3080233790","https://openalex.org/W3081370447","https://openalex.org/W3092103098","https://openalex.org/W3098848552","https://openalex.org/W3102437242","https://openalex.org/W3102442912","https://openalex.org/W3105472355","https://openalex.org/W3124268854","https://openalex.org/W3166694872","https://openalex.org/W3185757511","https://openalex.org/W3198807388","https://openalex.org/W4290056447","https://openalex.org/W4300372883","https://openalex.org/W4375869069","https://openalex.org/W4386072473","https://openalex.org/W4386747131","https://openalex.org/W6752664415","https://openalex.org/W6795954456","https://openalex.org/W6810803109","https://openalex.org/W6841061311","https://openalex.org/W6845530616"],"related_works":["https://openalex.org/W2978729728","https://openalex.org/W2101505280","https://openalex.org/W2791735244","https://openalex.org/W4391086841","https://openalex.org/W1974392290","https://openalex.org/W2594506622","https://openalex.org/W3103566292","https://openalex.org/W2074565401","https://openalex.org/W1607924090","https://openalex.org/W2793443222"],"abstract_inverted_index":{"Sparse":[0],"regression":[1],"codes":[2],"(SPARCs)":[3],"are":[4],"a":[5,72,86],"promising":[6],"coding":[7],"scheme":[8,90],"that":[9,44,70,93],"can":[10],"approach":[11],"the":[12,26,52,62,76,94],"Shannon":[13],"limit":[14],"over":[15],"Additive":[16],"White":[17],"Gaussian":[18,32],"Noise":[19],"(AWGN)":[20],"channels.":[21],"Previous":[22],"works":[23],"have":[24],"proven":[25],"capacity-achieving":[27],"property":[28],"of":[29],"SPARCs":[30],"with":[31,75],"design":[33,49,68,85],"matrices.":[34,50],"We":[35],"generalize":[36],"these":[37],"results":[38],"to":[39,91],"right":[40],"orthogonally":[41],"invariant":[42],"ensembles":[43],"allow":[45],"for":[46,67],"more":[47],"structured":[48],"With":[51],"Vector":[53],"Approximate":[54],"Message":[55],"Passing":[56],"(VAMP)":[57],"decoder,":[58],"we":[59,84],"rigorously":[60],"demonstrate":[61],"exponentially":[63,77],"decaying":[64,78],"error":[65],"probability":[66],"matrices":[69],"satisfy":[71],"certain":[73],"criterion":[74],"power":[79,88],"allocation.":[80],"For":[81],"other":[82],"spectra,":[83],"new":[87],"allocation":[89],"show":[92],"information":[95],"theoretical":[96],"threshold":[97],"is":[98],"achievable.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}