{"id":"https://openalex.org/W2931968749","doi":"https://doi.org/10.1145/3314389","title":"Deep Multi-Task Learning Based Urban Air Quality Index Modelling","display_name":"Deep Multi-Task Learning Based Urban Air Quality Index Modelling","publication_year":2019,"publication_date":"2019-03-29","ids":{"openalex":"https://openalex.org/W2931968749","doi":"https://doi.org/10.1145/3314389","mag":"2931968749"},"language":"en","primary_location":{"id":"doi:10.1145/3314389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314389","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","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/A5100411139","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0003-1934-5992"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Chen","raw_affiliation_strings":["College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023632852","display_name":"Yifang Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifang Ding","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014942177","display_name":"Dandan Lyu","orcid":"https://orcid.org/0000-0001-9285-6970"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Lyu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063552937","display_name":"Xiaoze Liu","orcid":"https://orcid.org/0000-0002-9726-3397"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoze Liu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032802552","display_name":"Hanyu Long","orcid":"https://orcid.org/0000-0002-4551-0130"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Long","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100411139"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.4043,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.87106102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T12095","display_name":"Vehicle emissions and performance","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/air-quality-index","display_name":"Air quality index","score":0.7855827808380127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886254549026489},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6680346131324768},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5858096480369568},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5798983573913574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5763177275657654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5248734354972839},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5096569061279297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4196140468120575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3379226326942444},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.18522605299949646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10944783687591553},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10780420899391174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09722459316253662}],"concepts":[{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.7855827808380127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886254549026489},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6680346131324768},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5858096480369568},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5798983573913574},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5763177275657654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5248734354972839},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5096569061279297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4196140468120575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3379226326942444},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.18522605299949646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10944783687591553},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10780420899391174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09722459316253662},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314389","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W17921641","https://openalex.org/W1924770834","https://openalex.org/W1967277852","https://openalex.org/W1969219910","https://openalex.org/W1969865391","https://openalex.org/W1971402834","https://openalex.org/W1974540239","https://openalex.org/W1976032937","https://openalex.org/W1992626635","https://openalex.org/W2003207330","https://openalex.org/W2009438951","https://openalex.org/W2022331423","https://openalex.org/W2033412785","https://openalex.org/W2048679005","https://openalex.org/W2053255375","https://openalex.org/W2059629689","https://openalex.org/W2063077402","https://openalex.org/W2086233416","https://openalex.org/W2098637521","https://openalex.org/W2136915828","https://openalex.org/W2145072343","https://openalex.org/W2515846391","https://openalex.org/W2575693496","https://openalex.org/W2788381291","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2995553446","https://openalex.org/W2120455979"],"abstract_inverted_index":{"Obtaining":[0],"comprehensive":[1],"air":[2,11,33,69,82,90],"quality":[3,34,70],"information":[4],"can":[5,150,180],"help":[6],"protect":[7],"human":[8],"health":[9],"from":[10],"pollution.":[12],"Existing":[13],"spatially":[14,138],"fine-grained":[15,139],"estimation":[16,142],"methods":[17,20],"and":[18,41,117,129,144,154],"forecasting":[19,146],"have":[21],"the":[22,47,111,125,133,152,168,187],"following":[23],"problems:":[24],"1)":[25],"Only":[26],"a":[27,62,79,182],"part":[28],"of":[29,49,81,94,113,170],"data":[30,86],"related":[31],"to":[32,46,109,123,160,186],"is":[35],"considered.":[36,103],"2)":[37],"Features":[38],"are":[39,102,107],"defined":[40],"extracted":[42],"artificially.":[43],"3)":[44],"Due":[45],"lack":[48],"training":[50],"samples,":[51],"they":[52],"usually":[53],"cannot":[54],"achieve":[55],"good":[56],"generalization":[57,162],"performance.":[58,163],"Therefore,":[59],"we":[60],"propose":[61],"deep":[63],"multi-task":[64],"learning":[65],"(MTL)":[66],"based":[67],"urban":[68,84],"index":[71],"(AQI)":[72],"modelling":[73],"method":[74,179],"(PANDA).":[75],"On":[76,132],"one":[77],"hand,":[78,135],"variety":[80],"quality-related":[83],"big":[85],"(meteorology,":[87],"traffic,":[88],"factory":[89],"pollutant":[91],"emission,":[92],"point":[93],"interest":[95],"(POI)":[96],"distribution,":[97,100],"road":[98],"network":[99],"etc.)":[101],"Deep":[104],"neural":[105],"networks":[106],"used":[108],"learn":[110],"representations":[112],"these":[114,130,157],"relevant":[115],"spatial":[116],"sequential":[118],"data,":[119],"as":[120,122],"well":[121],"build":[124],"correlation":[126],"between":[127,156],"AQI":[128,140,145],"representations.":[131],"other":[134],"PANDA":[136,166],"solves":[137],"level":[141],"task":[143,147],"jointly,":[148],"which":[149],"leverage":[151],"commonalities":[153],"differences":[155],"two":[158],"tasks":[159],"improve":[161],"We":[164],"evaluate":[165],"on":[167],"dataset":[169],"Hangzhou":[171],"city.":[172],"The":[173],"experimental":[174],"results":[175],"show":[176],"that":[177],"our":[178],"yield":[181],"better":[183],"performance":[184],"compared":[185],"state-of-the-art":[188],"methods.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}