{"id":"https://openalex.org/W2790400419","doi":"https://doi.org/10.3390/info9030056","title":"Residual Recurrent Neural Networks for Learning Sequential Representations","display_name":"Residual Recurrent Neural Networks for Learning Sequential Representations","publication_year":2018,"publication_date":"2018-03-06","ids":{"openalex":"https://openalex.org/W2790400419","doi":"https://doi.org/10.3390/info9030056","mag":"2790400419"},"language":"en","primary_location":{"id":"doi:10.3390/info9030056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9030056","pdf_url":"https://www.mdpi.com/2078-2489/9/3/56/pdf?version=1520354162","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/9/3/56/pdf?version=1520354162","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027489651","display_name":"Boxuan Yue","orcid":"https://orcid.org/0000-0001-8038-9834"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boxuan Yue","raw_affiliation_strings":["State Key Laboratory of Industrial Control, Zhejiang University, No. 38 Zheda Road, Hangzhou 310000, China"],"raw_orcid":"https://orcid.org/0000-0001-8038-9834","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control, Zhejiang University, No. 38 Zheda Road, Hangzhou 310000, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045537492","display_name":"Junwei Fu","orcid":"https://orcid.org/0000-0001-5621-9659"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Fu","raw_affiliation_strings":["State Key Laboratory of Industrial Control, Zhejiang University, No. 38 Zheda Road, Hangzhou 310000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control, Zhejiang University, No. 38 Zheda Road, Hangzhou 310000, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017838201","display_name":"Jun Liang","orcid":"https://orcid.org/0000-0003-0034-2601"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Liang","raw_affiliation_strings":["State Key Laboratory of Industrial Control, Zhejiang University, No. 38 Zheda Road, Hangzhou 310000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control, Zhejiang University, No. 38 Zheda Road, Hangzhou 310000, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017838201"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":7.8391,"has_fulltext":true,"cited_by_count":91,"citation_normalized_percentile":{"value":0.97773119,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"56","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987000226974487,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/residual","display_name":"Residual","score":0.8834754824638367},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8764055967330933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7466285824775696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5676290988922119},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5503973364830017},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5154217481613159},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4486192464828491},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41799214482307434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35992926359176636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33807969093322754},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3331870138645172}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8834754824638367},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8764055967330933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466285824775696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5676290988922119},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5503973364830017},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5154217481613159},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4486192464828491},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41799214482307434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35992926359176636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33807969093322754},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3331870138645172},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info9030056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9030056","pdf_url":"https://www.mdpi.com/2078-2489/9/3/56/pdf?version=1520354162","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fb48d198bb504890b0713b29faae5410","is_oa":false,"landing_page_url":"https://doaj.org/article/fb48d198bb504890b0713b29faae5410","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 9, Iss 3, p 56 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/9/3/56/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info9030056","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Information; Volume 9; Issue 3; Pages: 56","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info9030056","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9030056","pdf_url":"https://www.mdpi.com/2078-2489/9/3/56/pdf?version=1520354162","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1558825451","display_name":"\u57fa\u4e8ePLS\u9690\u53d8\u91cf\u7a7a\u95f4\u7684\u63a7\u5236\u65b9\u6cd5\u7814\u7a76\u53ca\u5728\u6545\u969c\u6062\u590d\u63a7\u5236\u4e2d\u7684\u5e94\u7528","funder_award_id":"61174114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8778823453","display_name":null,"funder_award_id":"U1664264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8987167353","display_name":null,"funder_award_id":"U1509203","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2790400419.pdf","grobid_xml":"https://content.openalex.org/works/W2790400419.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1515963492","https://openalex.org/W1815076433","https://openalex.org/W1819710477","https://openalex.org/W1836465849","https://openalex.org/W1984309565","https://openalex.org/W1993882792","https://openalex.org/W2024859052","https://openalex.org/W2097117768","https://openalex.org/W2105492591","https://openalex.org/W2107878631","https://openalex.org/W2108563286","https://openalex.org/W2109779438","https://openalex.org/W2110485445","https://openalex.org/W2117539524","https://openalex.org/W2124509324","https://openalex.org/W2133656308","https://openalex.org/W2144499799","https://openalex.org/W2147238549","https://openalex.org/W2157331557","https://openalex.org/W2160815625","https://openalex.org/W2183341477","https://openalex.org/W2302255633","https://openalex.org/W2307747718","https://openalex.org/W2399456070","https://openalex.org/W2577646479","https://openalex.org/W2589472979","https://openalex.org/W2964350391","https://openalex.org/W6638826180","https://openalex.org/W6676553272","https://openalex.org/W6687483927","https://openalex.org/W7025107196"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3017902212","https://openalex.org/W2964335273","https://openalex.org/W2790400419","https://openalex.org/W3008584592"],"abstract_inverted_index":{"Recurrent":[0],"neural":[1],"networks":[2],"(RNN)":[3],"are":[4],"efficient":[5],"in":[6,127],"modeling":[7,102],"sequences":[8],"for":[9,77,88],"generation":[10],"and":[11,21,55,74,100,110,124,131],"classification,":[12],"but":[13],"their":[14],"training":[15],"is":[16],"obstructed":[17],"by":[18],"the":[19,30,35,41,56,71,82,86,92,139],"vanishing":[20,73],"exploding":[22,75],"gradient":[23,72],"issues.":[24],"In":[25,91],"this":[26],"paper,":[27],"we":[28,94],"reformulate":[29],"RNN":[31],"unit":[32,59],"to":[33,40,103],"learn":[34],"residual":[36,62,83],"functions":[37],"with":[38,108,136],"reference":[39],"hidden":[42],"state":[43],"instead":[44],"of":[45,129,138],"conventional":[46],"gated":[47,57],"mechanisms":[48],"such":[49],"as":[50],"long":[51],"short-term":[52],"memory":[53],"(LSTM)":[54],"recurrent":[58],"(GRU).":[60],"The":[61,113],"structure":[63,84],"has":[64],"two":[65],"main":[66],"highlights:":[67],"firstly,":[68],"it":[69],"solves":[70],"issues":[76],"large":[78],"time-distributed":[79],"scales;":[80],"secondly,":[81],"promotes":[85],"optimizations":[87],"backward":[89],"updates.":[90],"experiments,":[93],"apply":[95],"language":[96],"modeling,":[97],"emotion":[98],"classification":[99],"polyphonic":[101],"evaluate":[104],"our":[105,117],"layer":[106,118],"compared":[107],"LSTM":[109,123],"GRU":[111,125],"layers.":[112],"results":[114],"show":[115],"that":[116,137],"gives":[119],"state-of-the-art":[120],"performance,":[121],"outperforms":[122],"layers":[126],"terms":[128],"speed,":[130],"supports":[132],"an":[133],"accuracy":[134],"competitive":[135],"other":[140],"methods.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2018-03-29T00:00:00"}
