{"id":"https://openalex.org/W4379382378","doi":"https://doi.org/10.1109/taffc.2023.3282704","title":"Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition","display_name":"Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379382378","doi":"https://doi.org/10.1109/taffc.2023.3282704"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2023.3282704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3282704","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","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/A5088111638","display_name":"Wenbo Zheng","orcid":"https://orcid.org/0000-0001-9732-3217"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Zheng","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, China"],"raw_orcid":"https://orcid.org/0000-0001-9732-3217","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, China","institution_ids":["https://openalex.org/I196699116","https://openalex.org/I4210149102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100306850","display_name":"Lan Yan","orcid":"https://orcid.org/0000-0001-6452-9649"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Yan","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, China","National Supercomputing Center, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-6452-9649","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"National Supercomputing Center, Changsha, Hunan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2013Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei-Yue Wang","raw_affiliation_strings":["State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9185-3989","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":10.6039,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.98852367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"2595","last_page":"2613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9891999959945679,"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/emotion-recognition","display_name":"Emotion recognition","score":0.5772356390953064},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.48288893699645996},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4679122567176819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4673723578453064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4610885977745056},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4174370765686035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33682936429977417},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33282989263534546},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17766353487968445},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09002113342285156}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5772356390953064},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48288893699645996},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4679122567176819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4673723578453064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4610885977745056},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4174370765686035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33682936429977417},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33282989263534546},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17766353487968445},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09002113342285156},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2023.3282704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3282704","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5334331686","display_name":null,"funder_award_id":"233110002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":195,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2026265322","https://openalex.org/W2045662075","https://openalex.org/W2055134133","https://openalex.org/W2093428321","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2131774270","https://openalex.org/W2142114717","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2306941105","https://openalex.org/W2464929676","https://openalex.org/W2519091744","https://openalex.org/W2530421149","https://openalex.org/W2531271152","https://openalex.org/W2531409750","https://openalex.org/W2547146855","https://openalex.org/W2549139847","https://openalex.org/W2557074642","https://openalex.org/W2558919063","https://openalex.org/W2613375858","https://openalex.org/W2751214333","https://openalex.org/W2752782242","https://openalex.org/W2755822369","https://openalex.org/W2767030624","https://openalex.org/W2786411768","https://openalex.org/W2786768213","https://openalex.org/W2787894218","https://openalex.org/W2790404832","https://openalex.org/W2792764867","https://openalex.org/W2803017656","https://openalex.org/W2803193013","https://openalex.org/W2885061378","https://openalex.org/W2885613075","https://openalex.org/W2889056793","https://openalex.org/W2889782235","https://openalex.org/W2896457183","https://openalex.org/W2900672720","https://openalex.org/W2903959724","https://openalex.org/W2922099396","https://openalex.org/W2932399282","https://openalex.org/W2935703330","https://openalex.org/W2936849887","https://openalex.org/W2950162539","https://openalex.org/W2962692632","https://openalex.org/W2963104701","https://openalex.org/W2963446712","https://openalex.org/W2963993763","https://openalex.org/W2965453734","https://openalex.org/W2977259558","https://openalex.org/W2980531643","https://openalex.org/W2981677410","https://openalex.org/W2981984641","https://openalex.org/W2985076077","https://openalex.org/W2990202385","https://openalex.org/W3004413500","https://openalex.org/W3007057000","https://openalex.org/W3010575424","https://openalex.org/W3014641072","https://openalex.org/W3016026271","https://openalex.org/W3021080764","https://openalex.org/W3024961463","https://openalex.org/W3026111682","https://openalex.org/W3033046106","https://openalex.org/W3034538190","https://openalex.org/W3034599802","https://openalex.org/W3038471032","https://openalex.org/W3039724609","https://openalex.org/W3078516413","https://openalex.org/W3090352232","https://openalex.org/W3094361785","https://openalex.org/W3094412822","https://openalex.org/W3094502228","https://openalex.org/W3098431772","https://openalex.org/W3103181422","https://openalex.org/W3103291722","https://openalex.org/W3112864462","https://openalex.org/W3114284901","https://openalex.org/W3138516171","https://openalex.org/W3153807302","https://openalex.org/W3159664178","https://openalex.org/W3160357885","https://openalex.org/W3168834895","https://openalex.org/W3172353912","https://openalex.org/W3176528293","https://openalex.org/W3177961482","https://openalex.org/W3183340146","https://openalex.org/W3184679245","https://openalex.org/W3193171560","https://openalex.org/W3195146636","https://openalex.org/W3196711847","https://openalex.org/W3196987619","https://openalex.org/W3200271021","https://openalex.org/W3202775307","https://openalex.org/W3205733239","https://openalex.org/W3209494353","https://openalex.org/W3213879871","https://openalex.org/W3213949538","https://openalex.org/W4200027224","https://openalex.org/W4205339613","https://openalex.org/W4205474609","https://openalex.org/W4206445139","https://openalex.org/W4213019189","https://openalex.org/W4214493665","https://openalex.org/W4214634256","https://openalex.org/W4220698980","https://openalex.org/W4220829848","https://openalex.org/W4221142373","https://openalex.org/W4221154966","https://openalex.org/W4223995050","https://openalex.org/W4224231273","https://openalex.org/W4224247713","https://openalex.org/W4225266919","https://openalex.org/W4225339276","https://openalex.org/W4225411558","https://openalex.org/W4225832925","https://openalex.org/W4226186561","https://openalex.org/W4226200347","https://openalex.org/W4244952642","https://openalex.org/W4281400927","https://openalex.org/W4281701185","https://openalex.org/W4283397308","https://openalex.org/W4283815599","https://openalex.org/W4285047006","https://openalex.org/W4288104408","https://openalex.org/W4292794839","https://openalex.org/W4312560592","https://openalex.org/W4312671791","https://openalex.org/W4312849330","https://openalex.org/W4313142416","https://openalex.org/W4321353437","https://openalex.org/W4367840164","https://openalex.org/W4385245566","https://openalex.org/W4404752347","https://openalex.org/W6637373629","https://openalex.org/W6638733343","https://openalex.org/W6676218802","https://openalex.org/W6679992976","https://openalex.org/W6681325634","https://openalex.org/W6691669583","https://openalex.org/W6694260854","https://openalex.org/W6726873649","https://openalex.org/W6730529904","https://openalex.org/W6741668545","https://openalex.org/W6741948945","https://openalex.org/W6749825310","https://openalex.org/W6755541679","https://openalex.org/W6755868333","https://openalex.org/W6755960745","https://openalex.org/W6755964169","https://openalex.org/W6757817989","https://openalex.org/W6761024849","https://openalex.org/W6762718338","https://openalex.org/W6763208413","https://openalex.org/W6767091845","https://openalex.org/W6767220426","https://openalex.org/W6767598533","https://openalex.org/W6768179808","https://openalex.org/W6774536461","https://openalex.org/W6774843077","https://openalex.org/W6779511434","https://openalex.org/W6782330459","https://openalex.org/W6784350020","https://openalex.org/W6785065469","https://openalex.org/W6787148450","https://openalex.org/W6787666870","https://openalex.org/W6787760603","https://openalex.org/W6787854004","https://openalex.org/W6787964007","https://openalex.org/W6788135285","https://openalex.org/W6788300874","https://openalex.org/W6788444043","https://openalex.org/W6790307280","https://openalex.org/W6796014657","https://openalex.org/W6796158530","https://openalex.org/W6796411340","https://openalex.org/W6800248728","https://openalex.org/W6800666689","https://openalex.org/W6800801335","https://openalex.org/W6803136910","https://openalex.org/W6803694129","https://openalex.org/W6803761672","https://openalex.org/W6804101148","https://openalex.org/W6809697536","https://openalex.org/W6810003861","https://openalex.org/W6810078181","https://openalex.org/W6810518251","https://openalex.org/W6810857650","https://openalex.org/W6840950908","https://openalex.org/W6843059292","https://openalex.org/W6847614147"],"related_works":["https://openalex.org/W2536562190","https://openalex.org/W4310420093","https://openalex.org/W3154635860","https://openalex.org/W4226332880","https://openalex.org/W4298054035","https://openalex.org/W4200631625","https://openalex.org/W4307377619","https://openalex.org/W1921169094","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Depression":[0],"is":[1,145,227],"a":[2,21,70,96,158],"critical":[3],"problem":[4],"in":[5,50,182,223],"modern":[6],"society":[7],"that":[8,73,147,185,209,234],"affects":[9],"an":[10,42],"estimated":[11],"350":[12],"million":[13],"people":[14],"worldwide,":[15],"causing":[16],"feelings":[17],"of":[18,23,44,55,107,140,167,176],"sadness":[19],"and":[20,25,32,58,86,88,110,142,160,244],"lack":[22],"interest":[24,31],"pleasure.":[26],"Emotional":[27],"disorders":[28],"are":[29,33,161],"gaining":[30],"closely":[34],"entwined":[35],"with":[36,79,100,179,194],"depression,":[37],"because":[38],"one":[39,180],"contributes":[40],"to":[41,68,136,229,242],"understanding":[43],"the":[45,48,51,104,123,138,148,165,174,183,210,219],"other.":[46],"Despite":[47],"achievements":[49],"two":[52,77,186],"separate":[53],"tasks":[54,78,189,232],"emotion":[56,111,243],"recognition":[57],"depression":[59,108],"detection,":[60],"there":[61],"has":[62],"not":[63,115],"been":[64],"much":[65],"prior":[66],"effort":[67],"build":[69],"unified":[71],"model":[72,239],"can":[74,154,190],"connect":[75],"these":[76],"different":[80],"modalities,":[81],"including":[82],"multimedia":[83],"(text,":[84],"audio,":[85],"video)":[87],"unobtrusive":[89],"physiological":[90],"signals":[91],"(e.g.,":[92],"electroencephalography).":[93],"We":[94],"propose":[95],"noveltemporal":[97],"convolutional":[98,125],"transformer":[99,126],"knowledge":[101,131,134],"embeddingto":[102],"address":[103],"joint":[105],"task":[106],"detection":[109,141],"recognition.":[112,143],"This":[113],"approach":[114,212,236],"only":[116],"learns":[117],"multimodal":[118],"embeddings":[119],"across":[120],"domains":[121],"via":[122],"temporal":[124],"but":[127],"also":[128],"exploits":[129],"special-domain":[130],"from":[132],"medical":[133],"graphs":[135],"improve":[137],"performance":[139,166],"It":[144],"essential":[146],"features":[149],"learned":[150],"by":[151],"our":[152,195,225,235],"method":[153,172],"be":[155,191],"perceived":[156],"as":[157],"priori":[159],"suitable":[162],"for":[163],"increasing":[164],"other":[168,215,220,230],"related":[169,241],"tasks.":[170],"Our":[171],"illustrates":[173],"case":[175],"\u201ctwo":[177],"birds":[178],"stone\u201d":[181],"sense":[184],"or":[187],"more":[188],"efficiently":[192],"handled":[193],"unique":[196],"model,":[197],"which":[198,224],"captures":[199],"effective":[200],"features.":[201],"Experimental":[202],"results":[203],"on":[204],"ten":[205],"real-world":[206],"datasets":[207],"show":[208,233],"proposed":[211],"significantly":[213],"outperforms":[214],"state-of-the-art":[216],"approaches.":[217],"On":[218],"hand,":[221],"experiments":[222],"methodology":[226],"applied":[228],"reasoning":[231,240],"effectively":[237],"supports":[238],"improves":[245],"its":[246],"performance.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}