{"id":"https://openalex.org/W4283212821","doi":"https://doi.org/10.1109/infocom48880.2022.9796743","title":"Worker Selection Towards Data Completion for Online Sparse Crowdsensing","display_name":"Worker Selection Towards Data Completion for Online Sparse Crowdsensing","publication_year":2022,"publication_date":"2022-05-02","ids":{"openalex":"https://openalex.org/W4283212821","doi":"https://doi.org/10.1109/infocom48880.2022.9796743"},"language":"en","primary_location":{"id":"doi:10.1109/infocom48880.2022.9796743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796743","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","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/A5100373255","display_name":"Wenbin Liu","orcid":"https://orcid.org/0000-0002-4384-1446"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Liu","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","College of Computer Science and Technology, Jilin University, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033953325","display_name":"En Wang","orcid":"https://orcid.org/0000-0001-6112-2923"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China","College of Computer Science and Technology, Jilin University, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045527959","display_name":"Yongjian Yang","orcid":"https://orcid.org/0000-0002-0056-3626"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Yang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","College of Computer Science and Technology, Jilin University, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,Philadelphia,USA","Department of Computer and Information Sciences, Temple University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,Philadelphia,USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100373255"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":5.2862,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96838859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1509","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.9219445586204529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7844642400741577},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.6890287399291992},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6290743350982666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.517591118812561},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.48432958126068115},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4726659059524536},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.4640668034553528},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.430963397026062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4237460792064667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41407814621925354},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.25815901160240173},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1376062035560608}],"concepts":[{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.9219445586204529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7844642400741577},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6890287399291992},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6290743350982666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.517591118812561},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.48432958126068115},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4726659059524536},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.4640668034553528},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.430963397026062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4237460792064667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41407814621925354},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25815901160240173},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1376062035560608},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom48880.2022.9796743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom48880.2022.9796743","pdf_url":null,"source":{"id":"https://openalex.org/S4363607980","display_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2022 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1680189815","https://openalex.org/W1971402834","https://openalex.org/W2002834872","https://openalex.org/W2012856773","https://openalex.org/W2036190740","https://openalex.org/W2057041225","https://openalex.org/W2083868427","https://openalex.org/W2117368434","https://openalex.org/W2125826911","https://openalex.org/W2145962650","https://openalex.org/W2257979135","https://openalex.org/W2326421035","https://openalex.org/W2406099690","https://openalex.org/W2473808492","https://openalex.org/W2619178312","https://openalex.org/W2789572951","https://openalex.org/W2943584607","https://openalex.org/W2947806810","https://openalex.org/W2949041559","https://openalex.org/W2953002421","https://openalex.org/W2964161669","https://openalex.org/W2972004543","https://openalex.org/W2992607185","https://openalex.org/W3015379812","https://openalex.org/W3042557051","https://openalex.org/W3087906567","https://openalex.org/W3092147969","https://openalex.org/W3158913607","https://openalex.org/W3176516594","https://openalex.org/W3176609869","https://openalex.org/W3189107204","https://openalex.org/W4298857966","https://openalex.org/W6637967152","https://openalex.org/W6713600550","https://openalex.org/W6738383885","https://openalex.org/W6745297097","https://openalex.org/W7015502040"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2896200027","https://openalex.org/W4283212821","https://openalex.org/W4294691692","https://openalex.org/W2789229307","https://openalex.org/W2557895864","https://openalex.org/W2782594142","https://openalex.org/W4376480584"],"abstract_inverted_index":{"As":[0],"a":[1,12,145,193],"cost-effective":[2],"paradigm,":[3],"Sparse":[4,67,149],"Crowdsensing":[5],"aims":[6],"to":[7,10,56,121,205,209],"recruit":[8],"workers":[9,34,120,208],"perform":[11],"part":[13],"of":[14,51,75,127,155,229],"sensing":[15,43,60],"tasks":[16],"and":[17,40,85,162,172],"infer":[18],"the":[19,52,58,73,89,94,101,107,113,168,187,201,227],"rest,":[20],"which":[21,153],"has":[22],"broad":[23],"applications,":[24],"including":[25],"environmental":[26],"monitoring,":[27],"urban":[28],"sensing,":[29],"etc.":[30],"In":[31],"most":[32],"cases,":[33],"will":[35],"participate":[36],"in":[37,93,140,216],"real":[38],"time,":[39],"thus":[41],"their":[42],"data":[44,55,71,76,92,171,224],"are":[45],"coming":[46,54,170],"dynamically.":[47],"Taking":[48],"full":[49,59],"advantage":[50],"online":[53,148,175,218],"complete":[57],"map":[61],"is":[62,82,96],"an":[63,174,217],"important":[64,99,124,211],"problem":[65,204],"for":[66,70,130,133,147,213],"Crowdsensing.":[68],"However,":[69],"completion,":[72,159],"importance":[74,109,160,190],"collected":[77],"from":[78,104,167],"different":[79,84],"spatio-temporal":[80,180,188],"areas":[81,125,212],"usually":[83],"time-varying.":[86],"For":[87],"example,":[88],"newly":[90],"obtained":[91],"center":[95],"often":[97],"more":[98],"than":[100],"old":[102],"ones":[103],"edges.":[105],"Moreover,":[106],"area":[108,189],"may":[110],"also":[111],"influence":[112],"following":[114],"worker":[115,163],"selection,":[116],"i.e.,":[117],"selecting":[118],"suitable":[119,207],"actively":[122],"sense":[123,210],"(instead":[126],"passively":[128],"waiting":[129],"given":[131],"data)":[132],"improving":[134],"completion":[135,177,215],"accuracy.":[136],"To":[137],"this":[138,141],"end,":[139],"paper,":[142],"we":[143,185,199],"propose":[144,173],"framework":[146],"Crowdsensing,":[150],"called":[151],"OS-MCS,":[152],"consists":[154],"three":[156],"parts:":[157],"matrix":[158,176],"estimation,":[161],"selection.":[164],"We":[165],"start":[166],"dynamically":[169],"algorithm":[178],"with":[179],"constraints.":[181],"Based":[182],"on":[183,222],"that,":[184],"estimate":[186],"by":[191],"conducting":[192],"reinforcement":[194],"learning-based":[195],"up-to-date":[196],"model.":[197],"Finally,":[198],"utilize":[200],"prophet":[202],"secretary":[203],"select":[206],"accurate":[214],"manner.":[219],"Extensive":[220],"experiments":[221],"real-world":[223],"sets":[225],"show":[226],"effectiveness":[228],"our":[230],"proposals.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}