{"id":"https://openalex.org/W7138900463","doi":"https://doi.org/10.48550/arxiv.2603.17529","title":"AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting","display_name":"AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7138900463","doi":"https://doi.org/10.48550/arxiv.2603.17529"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.17529","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.17529","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130200222","display_name":"Binqing Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Binqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055984231","display_name":"Zongjiang Shang","orcid":"https://orcid.org/0009-0001-8938-7437"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shang, Zongjiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129911140","display_name":"Shiyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050808388","display_name":"Jianlong Huang","orcid":"https://orcid.org/0009-0004-5378-159X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jianlong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130030700","display_name":"Jiahui Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Jiahui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130142693","display_name":"Ling Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9373000264167786,"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":0.9373000264167786,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.010599999688565731,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.006800000090152025,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5820000171661377},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5741000175476074},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.4966999888420105},{"id":"https://openalex.org/keywords/pollutant","display_name":"Pollutant","score":0.4514000117778778},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.40380001068115234},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.36809998750686646},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.35519999265670776},{"id":"https://openalex.org/keywords/delay-differential-equation","display_name":"Delay differential equation","score":0.33180001378059387}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752000212669373},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5741000175476074},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4966999888420105},{"id":"https://openalex.org/C82685317","wikidata":"https://www.wikidata.org/wiki/Q19829510","display_name":"Pollutant","level":2,"score":0.4514000117778778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41679999232292175},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.40380001068115234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39100000262260437},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C147504518","wikidata":"https://www.wikidata.org/wiki/Q2146125","display_name":"Delay differential equation","level":3,"score":0.33180001378059387},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32260000705718994},{"id":"https://openalex.org/C2987853052","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollutants","level":3,"score":0.31949999928474426},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2924000024795532},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.29109999537467957},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C170061395","wikidata":"https://www.wikidata.org/wiki/Q5468164","display_name":"Forecast skill","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.17529","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.17529","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.17529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.46872007846832275}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"air":[1],"quality":[2],"forecasting":[3,136],"is":[4,151],"essential":[5],"for":[6],"public":[7],"health":[8],"and":[9,80,94,111],"environmental":[10],"sustainability,":[11],"but":[12],"remains":[13],"challenging":[14],"due":[15],"to":[16],"the":[17,34,44,103,134,146],"complex":[18],"pollutant":[19,27,38,61,118],"dynamics.":[20],"Existing":[21],"deep":[22],"learning":[23],"methods":[24],"often":[25],"model":[26],"dynamics":[28],"as":[29],"an":[30,139],"instantaneous":[31],"process,":[32],"overlooking":[33],"intrinsic":[35],"delays":[36],"in":[37,51,102],"propagation.":[39],"Thus,":[40],"we":[41],"propose":[42],"AirDDE,":[43],"first":[45],"neural":[46],"delay":[47,56,88,98],"differential":[48],"equation":[49],"framework":[50],"this":[52],"task":[53],"that":[54,77,106,131],"integrates":[55],"modeling":[57],"into":[58],"a":[59,73,96],"continuous-time":[60],"evolution":[62],"under":[63],"physical":[64,122],"guidance.":[65],"Specifically,":[66],"two":[67],"novel":[68],"components":[69],"are":[70],"introduced:":[71],"(1)":[72],"memory-augmented":[74],"attention":[75],"module":[76],"retrieves":[78],"globally":[79],"locally":[81],"historical":[82],"features,":[83],"which":[84,114],"can":[85,115],"adaptively":[86],"capture":[87,116],"effects":[89],"modulated":[90],"by":[91],"multifactor":[92],"data;":[93],"(2)":[95],"physics-guided":[97],"evolving":[99],"function,":[100],"grounded":[101],"diffusion-advection":[104],"equation,":[105],"models":[107],"diffusion,":[108],"delayed":[109],"advection,":[110],"source/sink":[112],"terms,":[113],"delay-aware":[117],"accumulation":[119],"patterns":[120],"with":[121,138],"plausibility.":[123],"Extensive":[124],"experiments":[125],"on":[126],"three":[127],"real-world":[128],"datasets":[129],"demonstrate":[130],"AirDDE":[132],"achieves":[133],"state-of-the-art":[135],"performance":[137],"average":[140],"MAE":[141],"reduction":[142],"of":[143],"8.79\\%":[144],"over":[145],"best":[147],"baselines.":[148],"The":[149],"code":[150],"available":[152],"at":[153],"https://github.com/w2obin/airdde-aaai.":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-20T00:00:00"}
