{"id":"https://openalex.org/W4412877176","doi":"https://doi.org/10.1145/3711896.3736860","title":"BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models","display_name":"BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877176","doi":"https://doi.org/10.1145/3711896.3736860"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736860","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736860","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3711896.3736860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056183845","display_name":"Zezhi Shao","orcid":"https://orcid.org/0000-0002-0815-2768"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhi Shao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Haidian, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0815-2768","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Haidian, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340461","display_name":"Yujie Li","orcid":"https://orcid.org/0000-0002-9924-6136"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Li","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9924-6136","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455817","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-3282-0535"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3282-0535","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090943298","display_name":"Chengqing Yu","orcid":"https://orcid.org/0000-0001-8314-8251"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengqing Yu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8314-8251","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yisong Fu","orcid":"https://orcid.org/0009-0002-0419-9144"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisong Fu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-0419-9144","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020332722","display_name":"Tangwen Qian","orcid":"https://orcid.org/0000-0001-5694-3831"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangwen Qian","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5694-3831","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Xu","orcid":"https://orcid.org/0009-0006-3363-3068"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-3363-3068","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090328369","display_name":"Boyu Diao","orcid":"https://orcid.org/0000-0002-8360-7718"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyu Diao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences., Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8360-7718","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences., Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103245119","display_name":"Yongjun Xu","orcid":"https://orcid.org/0000-0001-6647-0986"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6647-0986","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy, beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5201-8195","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy, beijing, China, State Key Laboratory of AI Safety, Beijing, China, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":2.7805,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90965059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2502","last_page":"2513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994999766349792,"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":0.9994999766349792,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.7007736563682556},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7003381252288818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6441184282302856},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5727573037147522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3962705433368683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34736740589141846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.287229061126709},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10186275839805603},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08063715696334839}],"concepts":[{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7007736563682556},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7003381252288818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6441184282302856},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5727573037147522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3962705433368683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34736740589141846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.287229061126709},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10186275839805603},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08063715696334839},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3711896.3736860","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736860","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},{"id":"pmh:oai:arXiv.org:2505.17871","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.17871","pdf_url":"https://arxiv.org/pdf/2505.17871","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736860","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736860","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"id":"https://metadata.un.org/sdg/13","score":0.49000000953674316,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1905349068","display_name":null,"funder_award_id":"2023112","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G6710808979","display_name":null,"funder_award_id":"62372430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1999996900","https://openalex.org/W2027461913","https://openalex.org/W2187089797","https://openalex.org/W4206173445","https://openalex.org/W4283324222","https://openalex.org/W4379382937","https://openalex.org/W4382203079","https://openalex.org/W4387561305","https://openalex.org/W4392222741","https://openalex.org/W4392397350","https://openalex.org/W4401863671","https://openalex.org/W4405316565","https://openalex.org/W4408061078","https://openalex.org/W4409363714","https://openalex.org/W6816747942"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W4246257243","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2041308758","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"The":[0],"advent":[1],"of":[2,19,84,121,138,155],"universal":[3,168],"time":[4,30,89],"series":[5,31,90],"forecasting":[6,11,169],"models":[7,25,128],"has":[8],"revolutionized":[9],"zero-shot":[10],"across":[12],"diverse":[13,122],"domains,":[14],"yet":[15],"the":[16,97,139,152,167],"critical":[17],"role":[18,154],"data":[20,62,98,156],"diversity":[21,63,157],"in":[22,158],"training":[23,143,161],"these":[24],"remains":[26],"underexplored.":[27],"Existing":[28],"large-scale":[29],"datasets":[32,78],"often":[33],"suffer":[34],"from":[35,75],"inherent":[36],"biases":[37],"and":[38,46,79,110,118,142,163],"imbalanced":[39],"distributions,":[40],"leading":[41],"to":[42,60,87,93],"suboptimal":[43],"model":[44,164],"performance":[45,134,165],"generalization.":[47],"To":[48],"address":[49],"this":[50],"gap,":[51],"we":[52],"introduce":[53],"BLAST,":[54],"a":[55,65,81,116,136],"novel":[56],"pre-training":[57],"corpus":[58],"designed":[59],"enhance":[61],"through":[64],"balanced":[66,117],"sampling":[67,109],"strategy.":[68],"First,":[69],"BLAST":[70,114,131],"incorporates":[71],"321":[72],"billion":[73],"observations":[74],"publicly":[76],"available":[77],"employs":[80],"comprehensive":[82],"suite":[83],"statistical":[85],"metrics":[86],"characterize":[88],"patterns.":[91,123],"Then,":[92],"facilitate":[94],"pattern-oriented":[95],"sampling,":[96],"is":[99],"implicitly":[100],"clustered":[101],"using":[102],"grid-based":[103],"partitioning.":[104],"Furthermore,":[105],"by":[106,146],"integrating":[107],"grid":[108,111],"mixup":[112],"techniques,":[113],"ensures":[115],"representative":[119],"coverage":[120],"Experimental":[124],"results":[125],"demonstrate":[126],"that":[127],"pre-trained":[129],"on":[130],"achieve":[132],"state-of-the-art":[133],"with":[135],"fraction":[137],"computational":[140],"resources":[141],"tokens":[144],"required":[145],"existing":[147],"methods.":[148],"Our":[149],"findings":[150],"highlight":[151],"pivotal":[153],"improving":[159],"both":[160],"efficiency":[162],"for":[166],"task.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}