{"id":"https://openalex.org/W4409657350","doi":"https://doi.org/10.1145/3696410.3714965","title":"The AI Revolution in Time Series: Challenges and Opportunites","display_name":"The AI Revolution in Time Series: Challenges and Opportunites","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409657350","doi":"https://doi.org/10.1145/3696410.3714965"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714965","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714965","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714965","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","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/10.1145/3696410.3714965","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101823667","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-7055-9518"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Liu","raw_affiliation_strings":["University of Southern California, Los Angeles/CA, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles/CA, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101823667"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0866263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.7307999730110168,"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":0.7307999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6579583287239075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6388940215110779},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48130857944488525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18458083271980286}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6579583287239075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388940215110779},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48130857944488525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18458083271980286},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":1,"locations":[{"id":"doi:10.1145/3696410.3714965","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714965","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714965","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714965","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714965","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714965","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6507447573","display_name":null,"funder_award_id":"several","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320313434","display_name":"Institute for Catastrophic Loss Reduction","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409657350.pdf","grobid_xml":"https://content.openalex.org/works/W4409657350.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,12,24,77],"deep":[3],"learning":[4],"and":[5,16,52,72],"artificial":[6],"intelligence":[7],"have":[8],"driven":[9],"significant":[10],"progress":[11],"time":[13,56,70],"series":[14,71],"modeling":[15],"analysis.":[17],"On":[18,36],"one":[19],"hand,":[20,39],"researchers":[21],"seek":[22],"breakthroughs":[23],"performance":[25],"on":[26],"classical":[27],"tasks":[28,54],"such":[29],"as":[30],"forecasting,":[31],"anomaly":[32],"detection,":[33],"classification,":[34],"etc.":[35],"the":[37,45,64],"other":[38],"it":[40],"is":[41],"intriguing":[42],"to":[43],"explore":[44],"potential":[46],"for":[47,69],"answering":[48],"more":[49],"complex":[50],"inference":[51],"reasoning":[53],"from":[55],"series.":[57],"In":[58],"this":[59,78],"keynote,":[60],"I":[61],"will":[62],"examine":[63],"pathways":[65],"toward":[66],"foundation":[67],"models":[68],"discuss":[73],"future":[74],"research":[75],"directions":[76],"rapidly":[79],"evolving":[80],"field.":[81]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
