{"id":"https://openalex.org/W2965961591","doi":"https://doi.org/10.1109/tmc.2019.2931341","title":"Adaptive and Blind Regression for Mobile Crowd Sensing","display_name":"Adaptive and Blind Regression for Mobile Crowd Sensing","publication_year":2019,"publication_date":"2019-07-29","ids":{"openalex":"https://openalex.org/W2965961591","doi":"https://doi.org/10.1109/tmc.2019.2931341","mag":"2965961591"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2019.2931341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2019.2931341","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5013173652","display_name":"Shan Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shan Chang","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, Shanghai, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5253-2549","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675801","display_name":"Chao Li","orcid":"https://orcid.org/0000-0002-2259-196X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071050711","display_name":"Hongzi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzi Zhu","raw_affiliation_strings":["Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-8657-5064","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Shanghai Jiao Tong University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442517","display_name":"Hang Chen","orcid":"https://orcid.org/0009-0008-7585-033X"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Chen","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013173652"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.9372,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8063407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"19","issue":"11","first_page":"2533","last_page":"2547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8215351104736328},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.631220281124115},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5911849141120911},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4955066442489624},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4741784334182739},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.47403597831726074},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4361116588115692},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43309617042541504},{"id":"https://openalex.org/keywords/local-regression","display_name":"Local regression","score":0.42750081419944763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3799448609352112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31555572152137756},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.28278636932373047},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13270384073257446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215351104736328},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.631220281124115},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5911849141120911},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4955066442489624},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4741784334182739},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.47403597831726074},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4361116588115692},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43309617042541504},{"id":"https://openalex.org/C60316415","wikidata":"https://www.wikidata.org/wiki/Q6664520","display_name":"Local regression","level":4,"score":0.42750081419944763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3799448609352112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31555572152137756},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.28278636932373047},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13270384073257446},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/tmc.2019.2931341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2019.2931341","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3261010746","display_name":"\u9762\u5411\u8282\u70b9\u9690\u79c1\u4fdd\u62a4\u7684\u53ef\u6301\u7eed\u7fa4\u667a\u611f\u77e5\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4755751023","display_name":null,"funder_award_id":"61420106010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5407182635","display_name":null,"funder_award_id":"17QA1400100","funder_id":"https://openalex.org/F4320327803","funder_display_name":"Shanghai Rising-Star Program"},{"id":"https://openalex.org/G6037662968","display_name":null,"funder_award_id":"EG2018028","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7980231182","display_name":"\u9762\u5411\u9ad8\u5bc6\u5ea6\u8f66\u8054\u7f51\u7684\u53ef\u9760\u67d4\u6027\u5e7f\u64ad\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8802333620","display_name":null,"funder_award_id":"18ZR1401200","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1525630739","https://openalex.org/W1540596182","https://openalex.org/W1975285668","https://openalex.org/W1986123955","https://openalex.org/W1989225134","https://openalex.org/W2005617509","https://openalex.org/W2011039300","https://openalex.org/W2056360854","https://openalex.org/W2057245489","https://openalex.org/W2074968817","https://openalex.org/W2075072883","https://openalex.org/W2156209126","https://openalex.org/W2344369227","https://openalex.org/W2404713802","https://openalex.org/W2563583756","https://openalex.org/W2613563955","https://openalex.org/W2889476950","https://openalex.org/W2962763344","https://openalex.org/W3105187766","https://openalex.org/W6785845913"],"related_works":["https://openalex.org/W4286588271","https://openalex.org/W3094550016","https://openalex.org/W4312658000","https://openalex.org/W3163198039","https://openalex.org/W4240546533","https://openalex.org/W4233504930","https://openalex.org/W2962729050","https://openalex.org/W4210775901","https://openalex.org/W2250308664","https://openalex.org/W3148095850"],"abstract_inverted_index":{"In":[0],"mobile":[1,21,96],"crowd":[2],"sensing":[3],"(MCS)":[4],"applications,":[5],"a":[6,10,29],"public":[7],"model":[8,30,77,92,144,185],"of":[9,42,55,70,126],"system":[11],"is":[12,118,145],"expected":[13],"to":[14,73,120,168,182],"be":[15,45],"derived":[16],"from":[17,51],"observations":[18,63,83,127,150,163,173,179],"collected":[19,50],"by":[20],"device":[22],"users,":[23],"through":[24],"regression":[25,59,113,143,160],"modeling.":[26],"For":[27],"example,":[28],"describing":[31],"the":[32,135,138,141,158,170,184],"relationship":[33],"between":[34,137],"running":[35],"speed,":[36],"heart":[37],"rate,":[38],"height,":[39],"and":[40,66,86,111,140,147,166,195],"weight":[41],"runner":[43],"can":[44],"constructed":[46],"using":[47],"MCS":[48,56],"data":[49,57,190],"wristbands.":[52],"Unique":[53],"features":[54],"bring":[58],"new":[60],"challenges.":[61],"First,":[62],"are":[64,84,98,153,164,180,198],"error-prone":[65],"private,":[67],"making":[68],"it":[69],"great":[71],"difficulty":[72],"derive":[74],"an":[75,90,101,109,122],"accurate":[76],"without":[78],"acquiring":[79],"raw":[80],"data.":[81],"Second,":[82],"nonstationary":[85],"opportunistically,":[87],"calling":[88],"for":[89,104],"adaptive":[91,110],"updating":[93],"mechanism.":[94],"Last,":[95],"devices":[97],"resource-constrained,":[99],"posing":[100],"urgent":[102],"demand":[103],"lightweight":[105],"regression.":[106],"We":[107],"propose":[108],"blind":[112],"scheme.":[114],"The":[115],"core":[116],"idea":[117],"first":[119],"select":[121],"optimal":[123],"`safe'":[124,178],"subset":[125,139],"locally":[128],"stored":[129],"over":[130],"all":[131],"participants,":[132],"such":[133],"that":[134],"inconsistency":[136],"corresponding":[142],"minimized,":[146],"as":[148,151],"many":[149],"possible":[152],"included.":[154],"Then,":[155],"based":[156],"on":[157],"resulted":[159],"model,":[161],"more":[162],"checked":[165],"selected":[167,177],"refine":[169],"model.":[171],"With":[172],"constantly":[174],"coming,":[175],"newly":[176],"used":[181],"make":[183],"updated":[186],"adaptively.":[187],"To":[188],"preserve":[189],"privacy,":[191],"one-time":[192],"pad":[193],"masking":[194],"blocking":[196],"scheme":[197],"integrated.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}