{"id":"https://openalex.org/W4387717386","doi":"https://doi.org/10.1109/tcds.2023.3325358","title":"Sequential Learning Network With Residual Blocks: Incorporating Temporal Convolutional Information Into Recurrent Neural Networks","display_name":"Sequential Learning Network With Residual Blocks: Incorporating Temporal Convolutional Information Into Recurrent Neural Networks","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387717386","doi":"https://doi.org/10.1109/tcds.2023.3325358"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2023.3325358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2023.3325358","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"},"type":"article","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/A5019204595","display_name":"Dongjing Shan","orcid":"https://orcid.org/0000-0001-6386-6096"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongjing Shan","raw_affiliation_strings":["Army Engineering University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Army Engineering University, Chongqing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020082230","display_name":"Kun Yao","orcid":"https://orcid.org/0000-0001-9113-6437"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Yao","raw_affiliation_strings":["Laboratory of Intelligent Information Processing, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Information Processing, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011581435","display_name":"Xiongwei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongwei Zhang","raw_affiliation_strings":["Laboratory of Intelligent Information Processing, Army Engineering University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Information Processing, Army Engineering University, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019204595"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":1.9117,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88313061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"396","last_page":"401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9868999719619751,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9868999719619751,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9778000116348267,"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":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8775608539581299},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6892962455749512},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6058484315872192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536969780921936},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5344751477241516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40342456102371216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39277368783950806},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1456795334815979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8775608539581299},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6892962455749512},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6058484315872192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536969780921936},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5344751477241516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40342456102371216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39277368783950806},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1456795334815979}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2023.3325358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2023.3325358","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4514102772","display_name":null,"funder_award_id":"62071484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6807053932","display_name":null,"funder_award_id":"62076247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7606170052","display_name":null,"funder_award_id":"CSTB2022NSCQ-MSX0170","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1591801644","https://openalex.org/W1632114991","https://openalex.org/W1689711448","https://openalex.org/W2112796928","https://openalex.org/W2157331557","https://openalex.org/W2548228487","https://openalex.org/W2790400419","https://openalex.org/W2792764867","https://openalex.org/W2797349519","https://openalex.org/W2937484199","https://openalex.org/W2951672049","https://openalex.org/W2963735467","https://openalex.org/W3118786419","https://openalex.org/W3166712493","https://openalex.org/W3197488239","https://openalex.org/W3209572141","https://openalex.org/W4214493665","https://openalex.org/W4226494101","https://openalex.org/W4285259502","https://openalex.org/W4293714597","https://openalex.org/W4298422451","https://openalex.org/W6604254268","https://openalex.org/W6631190155","https://openalex.org/W6635446068","https://openalex.org/W6714142977","https://openalex.org/W6725939724","https://openalex.org/W6727099177","https://openalex.org/W6729216784","https://openalex.org/W6729305679","https://openalex.org/W6730091202","https://openalex.org/W6731780175","https://openalex.org/W6737778391","https://openalex.org/W6739901393","https://openalex.org/W6743485176","https://openalex.org/W6743554579","https://openalex.org/W6743847727","https://openalex.org/W6748242889","https://openalex.org/W6749825310","https://openalex.org/W7062900309"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W2790400419"],"abstract_inverted_index":{"Temporal":[0],"convolutional":[1,104,140,172],"networks":[2,15,141],"(TCNs)":[3],"have":[4],"shown":[5],"remarkable":[6],"performance":[7],"in":[8,17,79,155],"sequence":[9,56],"modeling":[10],"and":[11,41,58,69,94,115,152,166,189],"surpassed":[12],"recurrent":[13,107],"neural":[14,99],"(RNNs)":[16],"a":[18,42,98],"number":[19],"of":[20,38,44,66,85,121,126,147,179,193],"tasks.":[21],"However,":[22],"performing":[23],"exceptionally":[24],"on":[25],"extremely":[26],"long":[27],"sequences":[28],"remains":[29],"an":[30],"obstacle":[31],"due":[32,81],"to":[33,82,142],"the":[34,54,64,83,118,124,144,148,167,177,190],"restrained":[35],"receptive":[36],"field":[37],"temporal":[39,92,103,110],"convolutions":[40,93,111,160],"lack":[43],"forgetting":[45,62],"mechanism.":[46],"Although":[47],"RNNs":[48,122,156],"can":[49],"carry":[50],"state":[51,168],"transmission":[52],"down":[53],"full":[55],"length":[57,146],"latch":[59],"information":[60,67],"by":[61],"mechanism,":[63],"issues":[65,154],"saturation":[68,153],"gradient":[70,151],"vanishing":[71],"or":[72],"exploding":[73],"still":[74],"persist,":[75],"which":[76],"usually":[77],"occur":[78],"back-propagation":[80],"effect":[84],"multiplicative":[86],"accumulation.":[87],"To":[88],"benefit":[89],"from":[90],"both":[91],"RNNs,":[95],"we":[96],"propose":[97],"architecture":[100],"that":[101],"merge":[102],"data":[105],"into":[106,117,163],"networks.":[108],"The":[109],"are":[112,157,161],"employed":[113],"intermittently":[114],"fused":[116],"hidden":[119],"states":[120],"with":[123,171],"assistance":[125],"attention":[127],"for":[128,139],"providing":[129],"long-term":[130],"information.":[131,173],"With":[132],"this":[133],"architecture,":[134],"it":[135],"is":[136,169],"not":[137],"needed":[138],"cover":[143],"total":[145],"sequence,":[149],"thus":[150],"ameliorated":[158],"since":[159],"integrated":[162],"its":[164],"cells":[165],"updated":[170],"Extensive":[174],"experiments":[175],"illustrate":[176],"superiority":[178],"our":[180],"network":[181],"against":[182],"other":[183],"competitive":[184],"counterparts,":[185],"such":[186],"as":[187],"TCNs":[188],"different":[191],"variants":[192],"RNNs.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
