{"id":"https://openalex.org/W4412877015","doi":"https://doi.org/10.1145/3711896.3737194","title":"ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting","display_name":"ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877015","doi":"https://doi.org/10.1145/3711896.3737194"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737194","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737194","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737194","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737194","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112259304","display_name":"Shu-Jiang Tu","orcid":"https://orcid.org/0009-0007-5501-8784"},"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":"Shihao Tu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-5501-8784","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035227503","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5058-4417"},"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":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5058-4417","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenyue Ding","orcid":"https://orcid.org/0009-0006-7096-494X"},"institutions":[{"id":"https://openalex.org/I4210103320","display_name":"Supor (China)","ror":"https://ror.org/00whypb06","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103320"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyue Ding","raw_affiliation_strings":["SUPCON Technology Co., Ltd., Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-7096-494X","affiliations":[{"raw_affiliation_string":"SUPCON Technology Co., Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210103320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111603940","display_name":"Yicheng Lu","orcid":null},"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":false,"raw_author_name":"Yicheng Lu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-4380-5327","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041162968","display_name":"Q REN","orcid":null},"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":false,"raw_author_name":"Qingkai Ren","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-5351-554X","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008481384","display_name":"Y. L. Zhang","orcid":"https://orcid.org/0009-0005-8667-0391"},"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":false,"raw_author_name":"Yupeng Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-8667-0391","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100343699","display_name":"Yin Zhang","orcid":"https://orcid.org/0000-0001-6986-4227"},"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":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6986-4227","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5112259304"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21379204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4913","last_page":"4924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/asynchronous-communication","display_name":"Asynchronous communication","score":0.7070958614349365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.700995922088623},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6876748204231262},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14641600847244263},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11265212297439575},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10774001479148865}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7070958614349365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.700995922088623},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6876748204231262},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14641600847244263},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11265212297439575},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10774001479148865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737194","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737194","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737194","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737194","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737194","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737194","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877015.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2024760831","https://openalex.org/W2064675550","https://openalex.org/W2131739422","https://openalex.org/W2151536734","https://openalex.org/W2914761779","https://openalex.org/W2962711740","https://openalex.org/W2965341826","https://openalex.org/W3012562343","https://openalex.org/W3177318507","https://openalex.org/W4213245422","https://openalex.org/W4290877962","https://openalex.org/W4291910369","https://openalex.org/W4306317966","https://openalex.org/W4382449675","https://openalex.org/W4385270240","https://openalex.org/W4386942258","https://openalex.org/W4387561305","https://openalex.org/W4396571445","https://openalex.org/W4396758529","https://openalex.org/W4401864135","https://openalex.org/W4402074759","https://openalex.org/W4409150498","https://openalex.org/W4409967353"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W4207086172"],"abstract_inverted_index":{"The":[0],"chemical":[1,28,134,157],"industry":[2],"is":[3,24],"faced":[4],"with":[5,47],"the":[6,12,48,120],"urgent":[7],"challenge":[8],"of":[9,15,21,34,50,92,122,145],"effectively":[10],"harnessing":[11],"vast":[13],"amounts":[14],"time-series":[16],"data":[17,58,125],"generated":[18],"by":[19],"thousands":[20],"sensors,":[22],"which":[23],"essential":[25],"for":[26],"forecasting":[27,38],"states,":[29],"achieving":[30],"accurate":[31],"real-time":[32],"control":[33],"production":[35],"processes.":[36],"Traditional":[37],"methods":[39,142],"suffer":[40],"from":[41],"high":[42],"computational":[43,99,150],"latency":[44],"and":[45,86,94,114,126,149],"struggle":[46],"complexity":[49],"spatiotemporal":[51,80],"dependencies.":[52],"As":[53],"a":[54,64,104],"result,":[55],"modeling":[56,81],"this":[57],"becomes":[59],"challenging.":[60],"This":[61],"paper":[62],"introduces":[63,103],"novel":[65],"approach,":[66],"referred":[67],"to":[68,72],"as":[69],"ASTNet,":[70],"designed":[71],"address":[73],"these":[74],"challenges.":[75],"ASTNet":[76,139,153],"integrates":[77],"an":[78],"asynchronous":[79],"framework":[82],"that":[83,109,138],"combines":[84,111],"temporal":[85,93],"spatial":[87,95,127],"encoders,":[88],"enabling":[89],"concurrent":[90],"learning":[91],"dependencies":[96],"while":[97],"reducing":[98],"latency.":[100],"Additionally,":[101],"it":[102],"gated":[105],"graph":[106],"fusion":[107],"mechanism":[108],"adaptively":[110],"static":[112],"(meta)":[113],"evolving":[115],"(dynamic)":[116],"sensor":[117,124,135],"graphs,":[118],"enhancing":[119],"handling":[121],"heterogeneous":[123],"correlations.":[128],"Extensive":[129],"experiments":[130],"on":[131],"three":[132],"real-world":[133],"datasets":[136],"demonstrate":[137],"outperforms":[140],"SOTA":[141],"in":[143,156],"terms":[144],"both":[146],"prediction":[147],"accuracy":[148],"efficiency,":[151],"making":[152],"successfully":[154],"deployed":[155],"engineering":[158],"industrial":[159],"scenarios.":[160]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
