{"id":"https://openalex.org/W2908941128","doi":"https://doi.org/10.1109/tit.2019.2891651","title":"Nearly Optimal Sparse Group Testing","display_name":"Nearly Optimal Sparse Group Testing","publication_year":2019,"publication_date":"2019-01-10","ids":{"openalex":"https://openalex.org/W2908941128","doi":"https://doi.org/10.1109/tit.2019.2891651","mag":"2908941128"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2019.2891651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2019.2891651","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-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/A5089321118","display_name":"Venkata Gandikota","orcid":"https://orcid.org/0000-0003-2381-7788"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkata Gandikota","raw_affiliation_strings":["College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090091569","display_name":"Elena Grigorescu","orcid":"https://orcid.org/0000-0001-9673-4313"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elena Grigorescu","raw_affiliation_strings":["Department of Computer Science, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108615688","display_name":"Sidharth Jaggi","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sidharth Jaggi","raw_affiliation_strings":["Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018283928","display_name":"Samson Zhou","orcid":"https://orcid.org/0000-0001-8288-5698"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samson Zhou","raw_affiliation_strings":["School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA"],"raw_orcid":"https://orcid.org/0000-0001-8288-5698","affiliations":[{"raw_affiliation_string":"School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3887,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93110141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"65","issue":"5","first_page":"2760","last_page":"2773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/group-testing","display_name":"Group testing","score":0.664638102054596},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5306878089904785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5212391018867493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36138632893562317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3339536190032959},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2971760630607605},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1032753586769104}],"concepts":[{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.664638102054596},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5306878089904785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5212391018867493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36138632893562317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3339536190032959},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2971760630607605},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1032753586769104},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2019.2891651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2019.2891651","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1616751058","display_name":null,"funder_award_id":"14304418","funder_id":"https://openalex.org/F4320309327","funder_display_name":"Google"},{"id":"https://openalex.org/G80611279","display_name":null,"funder_award_id":"CCF-1649515","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320309667","display_name":"Purdue Research Foundation","ror":"https://ror.org/007n03h88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W256251597","https://openalex.org/W384083701","https://openalex.org/W1544735579","https://openalex.org/W1970097758","https://openalex.org/W1975680434","https://openalex.org/W1990807929","https://openalex.org/W1992329592","https://openalex.org/W2015609897","https://openalex.org/W2067389921","https://openalex.org/W2096573287","https://openalex.org/W2101627389","https://openalex.org/W2112838414","https://openalex.org/W2128073148","https://openalex.org/W2138323948","https://openalex.org/W2157745065","https://openalex.org/W2158419847","https://openalex.org/W2159716457","https://openalex.org/W2164604747","https://openalex.org/W2167973519","https://openalex.org/W2171949331","https://openalex.org/W2173497155","https://openalex.org/W2242479605","https://openalex.org/W2314839533","https://openalex.org/W2483519421","https://openalex.org/W2510244936","https://openalex.org/W2521231262","https://openalex.org/W2562993896","https://openalex.org/W2582049860","https://openalex.org/W2782695171","https://openalex.org/W2784892334","https://openalex.org/W2801655986","https://openalex.org/W2885688104","https://openalex.org/W2962706095","https://openalex.org/W2962959405","https://openalex.org/W2963146668","https://openalex.org/W2963816967","https://openalex.org/W2963914402","https://openalex.org/W2963991930","https://openalex.org/W3098506715","https://openalex.org/W3099510449","https://openalex.org/W3100305021","https://openalex.org/W3101536548","https://openalex.org/W3103169419","https://openalex.org/W3105223537","https://openalex.org/W4239807698","https://openalex.org/W4246219036","https://openalex.org/W4250519137"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2372335426"],"abstract_inverted_index":{"Group":[0,62],"testing":[1,63,94,99,181],"is":[2,38,43,101,259,286,340],"the":[3,66,98,154,184,217,226,282,289,302,313,330,335,346,355],"process":[4],"of":[5,12,23,28,156,167,175,186,208,219,232,245,256,271,288,291,304,315,332,345,348],"pooling":[6],"arbitrary":[7],"subsets":[8],"from":[9],"a":[10,20,25,230,254,324],"set":[11],"n":[13],"items":[14,74,114,142,176],"so":[15],"as":[16,229,293,295],"to":[17,56,75,83,103,134,159,192,225,262],"identify,":[18],"with":[19,59,183,247,323],"minimal":[21],"number":[22,155,218,255,331,347],"tests,":[24,201,349],"\u201csmall\u201d":[26],"subset":[27],"d":[29,42],"defective":[30],"items.":[31,86],"In":[32,164,234],"\u201cclassical\u201d":[33],"non-adaptive":[34,179],"group":[35,93,180],"testing,":[36],"it":[37],"known":[39],"that":[40,68,172,252,258,311,350],"when":[41],"substantially":[44],"smaller":[45],"than":[46,138],"n,":[47,272],"\u0398(dlog(n))":[48],"tests":[49,82,131,157,210,220,257,333,337],"are":[50,115,132],"both":[51,146,215,235,239],"information-theoretically":[52],"necessary":[53],"and":[54,80,118,242,275,309],"sufficient":[55],"guarantee":[57,160],"recovery":[58,187],"high":[60,161],"probability.":[61],"schemes":[64],"in":[65,96,111,122,214,268,281,306,317,329,334,354],"literature":[67],"meet":[69],"this":[70],"bound":[71,207],"require":[72,253],"most":[73,81,124,190],"be":[76,104,321],"tested":[77],"\u03a9(log(n))":[78],"times,":[79],"incorporate":[84],"\u03a9(n/d)":[85],"Motivated":[87],"by":[88],"physical":[89],"considerations,":[90],"we":[91,107,148,202,237],"study":[92],"models":[95],"which":[97,112],"procedure":[100],"constrained":[102,200],"\u201csparse.\u201d":[105],"Specifically,":[106],"consider":[108],"(separately)":[109],"scenarios":[110],"1)":[113],"finitely":[116],"divisible":[117],"hence":[119],"may":[120],"participate":[121],"at":[123,189,194],"\u03b3":[125],"\u2208":[126,140,297],"o(log(n))":[127],"tests;":[128],"or":[129,264],"2)":[130],"size-constrained":[133],"pool":[135],"no":[136,341],"more":[137],"\u03c1":[139,296],"o(n/d)":[141],"per":[143],"test.":[144],"For":[145],"scenarios,":[147,236],"provide":[149,238],"information-theoretic":[150,205],"lower":[151,206],"bounds":[152],"on":[153],"required":[158,221],"probability":[162,185],"recovery.":[163],"particular,":[165],"one":[166],"our":[168],"main":[169],"results":[170],"shows":[171],"\u03b3-finite":[173],"divisibility":[174],"forces":[177],"any":[178],"algorithm":[182,280],"error":[188],"\u03f5":[191],"perform":[193],"least":[195],"\u03b3d(n/d)(1-5\u03f5)/\u03b3tests.":[196],"Analogously,":[197],"for":[198,211],"\u03c1-sized":[199,283,336],"show":[203,310],"an":[204],"\u03a9(n/\u03c1)":[209],"high-probability":[212],"recovery-hence":[213],"settings":[216],"grows":[222],"dramatically":[223],"(relative":[224],"classical":[227],"setting)":[228],"function":[231],"n.":[233],"randomized":[240,278],"constructions":[241,244],"explicit":[243],"designs":[246],"computationally":[248],"efficient":[249],"reconstruction":[250],"algorithms":[251],"optimal":[260],"up":[261],"constant":[263],"small":[265,325],"polynomial":[266],"factors":[267],"some":[269],"regimes":[270],"d,":[273,292],"\u03b3,":[274],"\u03c1.":[276],"The":[277],"design/reconstruction":[279],"test":[284,307,318],"scenario":[285],"universal-independent":[287],"value":[290],"long":[294],"o(n/d).":[298],"We":[299],"also":[300],"investigate":[301],"effect":[303],"unreliability/noise":[305],"outcomes,":[308],"whereas":[312],"impact":[314],"noise":[316,353],"outcomes":[319],"can":[320,351],"obviated":[322],"(constant":[326],"factor)":[327],"penalty":[328],"scenario,":[338],"there":[339],"group-testing":[342],"procedure,":[343],"regardless":[344],"combat":[352],"\u03b3-divisible":[356],"scenario.":[357]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}