{"id":"https://openalex.org/W3187228821","doi":"https://doi.org/10.24963/ijcai.2021/414","title":"TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data","display_name":"TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3187228821","doi":"https://doi.org/10.24963/ijcai.2021/414","mag":"3187228821"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/414","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/414","pdf_url":"https://www.ijcai.org/proceedings/2021/0414.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0414.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028006464","display_name":"Chenxi Sun","orcid":"https://orcid.org/0000-0002-1762-0877"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Sun","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080648149","display_name":"Shenda Hong","orcid":"https://orcid.org/0000-0001-7521-5127"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenda Hong","raw_affiliation_strings":["Institute of Medical Technology, Health Science Center of Peking University, Beijing, China","National Institute of Health Data Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Technology, Health Science Center of Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Institute of Health Data Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033367605","display_name":"Moxian Song","orcid":"https://orcid.org/0000-0002-3847-6384"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Moxian Song","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053722324","display_name":"Yen-Hsiu Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yen-Hsiu Chou","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113956634","display_name":"Yongyue Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyue Sun","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069418884","display_name":"Derun Cai","orcid":"https://orcid.org/0000-0002-8449-8613"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Derun Cai","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455569","display_name":"Hongyan Li","orcid":"https://orcid.org/0000-0001-7174-2851"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Li","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","School of Electronics Engineering and Computer Science, Peking University, Beijing, China","Contact Author. Peking University, No. 5 Yiheyuan Road, Bei-jing 100871, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Contact Author. Peking University, No. 5 Yiheyuan Road, Bei-jing 100871, People's Republic of China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3010","last_page":"3016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9911999702453613,"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":0.7279627919197083},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6984312534332275},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.672736406326294},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.6690067648887634},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6073032021522522},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5844423770904541},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5493049025535583},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.48895514011383057},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.48830366134643555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4555744528770447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40049564838409424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37645745277404785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.369201123714447},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.26788467168807983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24243903160095215},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1711517870426178},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14558184146881104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279627919197083},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6984312534332275},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.672736406326294},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.6690067648887634},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6073032021522522},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5844423770904541},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5493049025535583},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.48895514011383057},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.48830366134643555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4555744528770447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40049564838409424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37645745277404785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.369201123714447},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.26788467168807983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24243903160095215},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1711517870426178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14558184146881104},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/414","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/414","pdf_url":"https://www.ijcai.org/proceedings/2021/0414.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/414","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/414","pdf_url":"https://www.ijcai.org/proceedings/2021/0414.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G644216735","display_name":null,"funder_award_id":"2020YFB2103402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1993590897","https://openalex.org/W1997102766","https://openalex.org/W2001263627","https://openalex.org/W2094631910","https://openalex.org/W2150354929","https://openalex.org/W2515529155","https://openalex.org/W2580792538","https://openalex.org/W2608997467","https://openalex.org/W2613904329","https://openalex.org/W2742491462","https://openalex.org/W2774135397","https://openalex.org/W2885420314","https://openalex.org/W2892035503","https://openalex.org/W2916370975","https://openalex.org/W2964010366","https://openalex.org/W2973432116","https://openalex.org/W2975090317","https://openalex.org/W2982612860","https://openalex.org/W2983180560","https://openalex.org/W2995971510","https://openalex.org/W3025185639","https://openalex.org/W3025394897","https://openalex.org/W3034999176","https://openalex.org/W3094309160","https://openalex.org/W3111635942","https://openalex.org/W3119175057","https://openalex.org/W4301139609","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W2010974764","https://openalex.org/W4386848428","https://openalex.org/W4205631599","https://openalex.org/W2021379535","https://openalex.org/W2020067398","https://openalex.org/W2967225774","https://openalex.org/W4292972806","https://openalex.org/W3013408351","https://openalex.org/W4390782828"],"abstract_inverted_index":{"Prediction":[0],"based":[1],"on":[2,158],"Irregularly":[3],"Sampled":[4],"Time":[5,81,125],"Series":[6],"(ISTS)":[7],"is":[8,32,132],"of":[9,38,44,102],"wide":[10],"concern":[11],"in":[12,58,94],"real-world":[13,164],"applications.":[14],"For":[15],"more":[16,23],"accurate":[17],"prediction,":[18],"methods":[19,48],"had":[20],"better":[21,170,176],"grasp":[22,152],"data":[24],"characteristics.":[25,73],"Different":[26],"from":[27],"ordinary":[28],"time":[29,36,60,67,89,92],"series,":[30],"ISTS":[31,140],"characterized":[33],"by":[34],"irregular":[35],"intervals":[37],"intra-series":[39],"and":[40,62,105,148,154,162,174],"different":[41,109],"sampling":[42,110],"rates":[43],"inter-series.":[45],"However,":[46],"existing":[47],"have":[49],"suboptimal":[50],"predictions":[51],"due":[52],"to":[53,114,151],"artificially":[54],"introducing":[55],"new":[56,122],"dependencies":[57],"a":[59,79,121],"series":[61,68,149],"biasedly":[63],"learning":[64],"relations":[65],"among":[66],"when":[69],"modeling":[70],"these":[71],"two":[72,116],"In":[74],"this":[75],"work,":[76],"we":[77,119],"propose":[78],"novel":[80],"Encoding":[82,126],"(TE)":[83],"mechanism.":[84],"TE":[85],"can":[86,138],"embed":[87],"the":[88,95,100,133],"information":[90],"as":[91],"vectors":[93],"complex":[96],"domain.":[97],"It":[98,131],"has":[99,175],"properties":[101],"absolute":[103],"distance":[104,107],"relative":[106],"under":[108],"rates,":[111],"which":[112],"helps":[113],"represent":[115],"irregularities.":[117],"Meanwhile,":[118],"create":[120],"model":[123,136],"named":[124],"Echo":[127],"State":[128],"Network":[129],"(TE-ESN).":[130],"first":[134],"ESNs-based":[135],"that":[137,167],"process":[139],"data.":[141],"Besides,":[142],"TE-ESN":[143,168],"incorporates":[144],"long":[145],"short-term":[146],"memories":[147],"fusion":[150],"horizontal":[153],"vertical":[155],"relations.":[156],"Experiments":[157],"one":[159],"chaos":[160],"system":[161],"three":[163],"datasets":[165],"show":[166],"performs":[169],"than":[171],"all":[172],"baselines":[173],"reservoir":[177],"property.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
