{"id":"https://openalex.org/W4225632099","doi":"https://doi.org/10.1109/access.2022.3164506","title":"Enhanced Air Quality Inference via Multi-View Learning With Mobile Sensing Memory","display_name":"Enhanced Air Quality Inference via Multi-View Learning With Mobile Sensing Memory","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225632099","doi":"https://doi.org/10.1109/access.2022.3164506"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3164506","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3164506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09748170.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09748170.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041853363","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0003-0418-4516"},"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":"Ning Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0418-4516","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446465","display_name":"Xinyu Liu","orcid":"https://orcid.org/0009-0009-1047-3139"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Xinyu Liu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048585649","display_name":"Po Ting Lin","orcid":"https://orcid.org/0000-0001-5907-7828"},"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":"Po-Ting Lin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695493","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-3241-6356"},"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":"Yue Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351850","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-4394-2685"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"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":"Lin Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4394-2685","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4185,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.53529072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"36616","last_page":"36628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12682","display_name":"Smart Materials for Construction","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.5661337971687317},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5648864507675171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42552924156188965},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3235282897949219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5661337971687317},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5648864507675171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42552924156188965},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3235282897949219}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3164506","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3164506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09748170.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:345d607930964a83bcafe14139a2f3eb","is_oa":true,"landing_page_url":"https://doaj.org/article/345d607930964a83bcafe14139a2f3eb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 36616-36628 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3164506","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3164506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09748170.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225632099.pdf","grobid_xml":"https://content.openalex.org/works/W4225632099.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1971402834","https://openalex.org/W2035930426","https://openalex.org/W2079204536","https://openalex.org/W2116341502","https://openalex.org/W2158480275","https://openalex.org/W2169707207","https://openalex.org/W2476548250","https://openalex.org/W2528639018","https://openalex.org/W2531469489","https://openalex.org/W2548430090","https://openalex.org/W2559655401","https://openalex.org/W2741206673","https://openalex.org/W2788381291","https://openalex.org/W2795016801","https://openalex.org/W2880156893","https://openalex.org/W2911752602","https://openalex.org/W2912407321","https://openalex.org/W2922446486","https://openalex.org/W2945213519","https://openalex.org/W2955994610","https://openalex.org/W2963362078","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963486826","https://openalex.org/W2964092725","https://openalex.org/W2964199361","https://openalex.org/W2972839598","https://openalex.org/W2985272386","https://openalex.org/W3012254799","https://openalex.org/W3023188389","https://openalex.org/W3033403115","https://openalex.org/W3034690373","https://openalex.org/W3081699158","https://openalex.org/W3095861697","https://openalex.org/W3095961138","https://openalex.org/W3102632991","https://openalex.org/W3111261917","https://openalex.org/W3135666553","https://openalex.org/W3187845984","https://openalex.org/W3200900365","https://openalex.org/W6631190155","https://openalex.org/W6638318767","https://openalex.org/W6638667902","https://openalex.org/W6726381175"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Fine-grained":[0],"air":[1,28],"quality":[2,29],"can":[3],"provide":[4,177],"essential":[5],"urban":[6],"environmental":[7],"information":[8],"for":[9,92,132],"administrators":[10],"and":[11,17,41,59,176,205,239],"residents.":[12],"With":[13],"advances":[14],"in":[15,43,128,137,146,229],"communication":[16],"sensing":[18,117,142,157,174,200],"technologies,":[19],"low-cost":[20,35],"portable":[21],"sensors":[22,37],"installed":[23],"on":[24,194],"vehicles":[25,58],"enable":[26,151],"high-coverage":[27],"monitoring.":[30],"However,":[31],"data":[32,52,175],"collected":[33],"by":[34],"mobile":[36,65,156,206],"may":[38],"be":[39],"inaccurate":[40],"inconsistent":[42],"complex":[44],"operation":[45],"environments,":[46],"which":[47],"brings":[48],"the":[49,62,129,134,147,152,168,172,178,237,242],"issue":[50],"of":[51,64,154,198,241],"uncertainty.":[53],"Moreover,":[54],"due":[55],"to":[56,72,150,166,185],"uncontrolled":[57],"human":[60],"activities,":[61],"coverage":[63,188],"nodes":[66],"is":[67,126,164],"dynamic":[68,187,246],"over":[69],"time,":[70],"leading":[71],"uneven":[73],"or":[74],"sparse":[75],"spatial":[76,135,169],"distribution.":[77],"To":[78],"address":[79],"these":[80],"challenges,":[81],"we":[82],"propose":[83],"AQI-M":[84],"<sup":[85],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[86,95,99,103,108,114,119,221],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[87],",":[88],"a":[89,161,182],"novel":[90],"framework":[91,244],"fine-grained":[93],"<underline":[94,98,102,107,113,118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a</u>":[96],"ir":[97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">q</u>":[100],"uality":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i</u>":[104],"nference":[105],"via":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</u>":[109,115,120],"ulti-view":[110],"learning":[111],"with":[112,202,218],"obile":[116],"emory.":[121],"Specifically,":[122],"an":[123],"encoder-decoder":[124],"structure":[125],"applied":[127],"region":[130],"view":[131,149],"modeling":[133],"dependencies":[136],"pollution":[138],"maps.":[139],"More":[140],"importantly,":[141],"gradients":[143],"are":[144,192],"extracted":[145],"trajectory":[148],"utilization":[153],"uncertain":[155],"data.":[158],"In":[159],"addition,":[160],"memory":[162],"network":[163],"designed":[165],"capture":[167],"patterns":[170,180],"from":[171],"historical":[173],"global":[179],"as":[181],"complemental":[183],"guide":[184],"overcome":[186],"sampling.":[189],"Extensive":[190],"experiments":[191],"conducted":[193],"three":[195],"real-world":[196],"deployments":[197],"hybrid":[199],"systems":[201],"both":[203],"static":[204],"sensors.":[207],"Experimental":[208],"results":[209],"show":[210],"that":[211],"our":[212],"proposed":[213,243],"approach":[214],"outperforms":[215],"competitive":[216],"baselines":[217],"17%":[219],"<inline-formula":[220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[222],"<tex-math":[223],"notation=\"LaTeX\">$\\sim":[224],"29$":[225],"</tex-math></inline-formula>":[226],"%":[227],"reduction":[228],"mean":[230],"absolute":[231],"error.":[232],"Furthermore,":[233],"detailed":[234],"evaluations":[235],"demonstrate":[236],"effectiveness":[238],"robustness":[240],"under":[245],"coverage.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
