{"id":"https://openalex.org/W4400489126","doi":"https://doi.org/10.1109/cscwd61410.2024.10580113","title":"CGTS: A Transformer framework for time series prediction based on feature extraction","display_name":"CGTS: A Transformer framework for time series prediction based on feature extraction","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400489126","doi":"https://doi.org/10.1109/cscwd61410.2024.10580113"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580113","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056052273","display_name":"Yunpeng Ma","orcid":"https://orcid.org/0000-0001-5233-8968"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunpeng Ma","raw_affiliation_strings":["Tianjin University of Technology,Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112252891","display_name":"Q\u00ecng Yu","orcid":"https://orcid.org/0009-0006-4041-8390"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Yu","raw_affiliation_strings":["Tianjin University of Technology,Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology,Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1119403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9666000008583069,"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":0.9666000008583069,"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/computer-science","display_name":"Computer science","score":0.69755619764328},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6348342895507812},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5832200646400452},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5264333486557007},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.511905312538147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39900386333465576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.361885666847229},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34060901403427124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21757090091705322},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14161333441734314},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11020171642303467},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0897667407989502},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07104486227035522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69755619764328},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6348342895507812},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5832200646400452},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5264333486557007},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.511905312538147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39900386333465576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.361885666847229},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34060901403427124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21757090091705322},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14161333441734314},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11020171642303467},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0897667407989502},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07104486227035522},{"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:10.1109/cscwd61410.2024.10580113","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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":29,"referenced_works":["https://openalex.org/W2006487144","https://openalex.org/W2604847698","https://openalex.org/W2966153025","https://openalex.org/W2971724044","https://openalex.org/W2980994438","https://openalex.org/W2989571009","https://openalex.org/W3033529678","https://openalex.org/W3110378470","https://openalex.org/W3171665133","https://openalex.org/W3177318507","https://openalex.org/W3204263062","https://openalex.org/W3209594828","https://openalex.org/W3212890323","https://openalex.org/W4221148002","https://openalex.org/W4289533938","https://openalex.org/W4303438998","https://openalex.org/W4320737106","https://openalex.org/W4382318973","https://openalex.org/W4385245566","https://openalex.org/W6770855403","https://openalex.org/W6779163297","https://openalex.org/W6797155008","https://openalex.org/W6797297377","https://openalex.org/W6802061597","https://openalex.org/W6810637551","https://openalex.org/W6810853030","https://openalex.org/W6845625448","https://openalex.org/W6849840618","https://openalex.org/W6889955440"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4392529072","https://openalex.org/W4394131749","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Although":[0],"the":[1,22,36,41,47,52,57,61,65,86],"traditional":[2,23],"Transformer":[3],"has":[4,26],"achieved":[5],"good":[6],"results":[7],"in":[8,81],"time":[9],"series":[10],"prediction,":[11],"its":[12],"feature":[13,53],"extraction":[14,54],"ability":[15],"still":[16],"needs":[17],"to":[18,50],"be":[19],"improved,":[20],"while":[21,59,92],"self-attention":[24],"mechanism":[25,43,63],"a":[27,70],"high":[28],"computational":[29],"complexity.":[30,97],"In":[31],"this":[32,82],"paper,":[33],"we":[34],"propose":[35],"CGTS":[37],"framework,":[38,58],"which":[39],"combines":[40],"attention":[42,62],"with":[44],"convolution":[45],"at":[46,64],"encoding":[48],"stage":[49,67],"enhance":[51],"capability":[55],"of":[56,72],"modifying":[60],"decoding":[66],"by":[68],"adding":[69],"set":[71],"Gaussian":[73],"distributions.":[74],"Extensive":[75],"experiments":[76],"conducted":[77],"on":[78],"benchmark":[79,90],"datasets":[80],"paper":[83],"show":[84],"that":[85],"model":[87],"outperforms":[88],"existing":[89],"models":[91],"reducing":[93],"temporal":[94],"and":[95],"spatial":[96]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
