{"id":"https://openalex.org/W4414360179","doi":"https://doi.org/10.24963/ijcai.2025/394","title":"CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning","display_name":"CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360179","doi":"https://doi.org/10.24963/ijcai.2025/394"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/394","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5021844766","display_name":"Min Yang","orcid":"https://orcid.org/0000-0003-2550-0549"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Yang","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110994152","display_name":"An Yang","orcid":"https://orcid.org/0000-0002-0629-9440"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang An","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000626453","display_name":"Jinliang Deng","orcid":"https://orcid.org/0000-0002-0759-947X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jinliang Deng","raw_affiliation_strings":["HKGAI, Hong Kong University of Science and Technology","Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"HKGAI, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083084103","display_name":"Xiaoyu Li","orcid":"https://orcid.org/0009-0007-3006-3060"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Li","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911045","display_name":"Bin Xu","orcid":"https://orcid.org/0000-0002-3996-3096"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xu","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005367680","display_name":"Zhong Ji","orcid":"https://orcid.org/0000-0002-2197-3739"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Zhong","raw_affiliation_strings":["Shandong Yunhai Guochuang Cloud Computing Equipment Industry Innovation Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Shandong Yunhai Guochuang Cloud Computing Equipment Industry Innovation Co., Ltd","institution_ids":["https://openalex.org/I4210144487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081796777","display_name":"Xiankai Lu","orcid":"https://orcid.org/0000-0002-9543-6960"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiankai Lu","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040047825","display_name":"Yongshun Gong","orcid":"https://orcid.org/0000-0003-3948-4471"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongshun Gong","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5021844766"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34751946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3543","last_page":"3551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14427","display_name":"Environmental Monitoring and Data Management","score":0.6887000203132629,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14427","display_name":"Environmental Monitoring and Data Management","score":0.6887000203132629,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.6621000170707703,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.5787000060081482,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/normalization","display_name":"Normalization (sociology)","score":0.843999981880188},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7569000124931335},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.44429999589920044},{"id":"https://openalex.org/keywords/database-normalization","display_name":"Database normalization","score":0.42660000920295715},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4178999960422516},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3467999994754791}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.843999981880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592999935150146},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7569000124931335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6581000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5407000184059143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5135999917984009},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.44429999589920044},{"id":"https://openalex.org/C162984825","wikidata":"https://www.wikidata.org/wiki/Q339072","display_name":"Database normalization","level":3,"score":0.42660000920295715},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/394","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Spatio-temporal":[0],"data":[1,19,32],"mining":[2],"is":[3],"crucial":[4],"for":[5],"decision-making":[6],"and":[7,17,36,49,84,101,113,121,158],"planning":[8],"in":[9,13,31,39,69,86],"diverse":[10,144],"domains.":[11],"However,":[12],"real-world":[14],"scenarios,":[15],"training":[16],"testing":[18],"are":[20],"often":[21,64],"not":[22],"independent":[23],"or":[24],"identically":[25],"distributed":[26],"due":[27],"to":[28,79],"rapid":[29],"changes":[30,112],"distributions":[33],"over":[34,154],"time":[35,67],"space,":[37],"resulting":[38],"spatio-temporal":[40,82,135],"out-of-distribution":[41],"(OOD)":[42],"challenges.":[43],"This":[44],"non-stationarity":[45,57,106],"complicates":[46],"accurate":[47],"predictions":[48],"has":[50],"motivated":[51],"research":[52],"efforts":[53],"focused":[54],"on":[55,140,156],"mitigating":[56],"through":[58],"normalization":[59,161],"operations.":[60],"Existing":[61],"methods,":[62],"nonetheless,":[63],"address":[65],"individual":[66],"series":[68],"isolation,":[70],"neglecting":[71],"correlations":[72],"across":[73,116],"series,":[74],"which":[75],"limits":[76],"their":[77],"capacity":[78],"handle":[80],"complex":[81],"dynamics":[83],"results":[85],"suboptimal":[87],"solutions.":[88],"To":[89],"overcome":[90],"these":[91],"challenges,":[92],"we":[93],"propose":[94],"Clustering":[95],"Adaptive":[96],"Normalization":[97],"(CAN-ST),":[98],"a":[99,122,126],"general":[100],"model-agnostic":[102],"method":[103],"that":[104,148],"mitigates":[105],"by":[107,153],"capturing":[108],"both":[109],"localized":[110],"distributional":[111],"shared":[114],"patterns":[115],"nodes":[117],"via":[118],"adaptive":[119],"clustering":[120],"parameter":[123],"register.":[124],"As":[125],"plugin,":[127],"CAN-ST":[128,149],"can":[129],"be":[130],"easily":[131],"integrated":[132],"into":[133],"various":[134],"prediction":[136],"models.":[137],"Extensive":[138],"experiments":[139],"multiple":[141],"datasets":[142],"with":[143],"forecasting":[145],"models":[146],"demonstrate":[147],"consistently":[150],"improves":[151],"performance":[152],"20%":[155],"average":[157],"outperforms":[159],"state-of-the-art":[160],"methods.":[162]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}