{"id":"https://openalex.org/W4400360499","doi":"https://doi.org/10.1145/3674975","title":"Self-Supervised EEG Representation Learning for Robust Emotion Recognition","display_name":"Self-Supervised EEG Representation Learning for Robust Emotion Recognition","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400360499","doi":"https://doi.org/10.1145/3674975"},"language":"en","primary_location":{"id":"doi:10.1145/3674975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674975","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","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/A5100339004","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-7863-3751"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7863-3751","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065901541","display_name":"Yuzhe Zhang","orcid":"https://orcid.org/0000-0002-7110-7396"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhe Zhang","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7110-7396","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032472408","display_name":"Xiusi Chen","orcid":"https://orcid.org/0009-0009-1809-3405"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuxu Chen","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0009-1809-3405","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753289","display_name":"Dalin Zhang","orcid":"https://orcid.org/0000-0002-5869-6544"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Dalin Zhang","raw_affiliation_strings":["Aalborg University, Aalborg, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-5869-6544","affiliations":[{"raw_affiliation_string":"Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101768831","display_name":"Rui Li","orcid":"https://orcid.org/0000-0002-5453-4660"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5453-4660","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101760233","display_name":"Tao Qin","orcid":"https://orcid.org/0000-0002-7674-698X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Qin","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7674-698X","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1689,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87141099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"20","issue":"5","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.8210105895996094},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7449182868003845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7065538167953491},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6743389368057251},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5661192536354065},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5553163290023804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5373384952545166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.529639720916748},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46286875009536743},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4405917227268219},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.43914127349853516},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4108234643936157},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.31522029638290405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19607225060462952},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09180521965026855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210105895996094},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7449182868003845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7065538167953491},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6743389368057251},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5661192536354065},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5553163290023804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5373384952545166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.529639720916748},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46286875009536743},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4405917227268219},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.43914127349853516},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4108234643936157},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.31522029638290405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19607225060462952},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09180521965026855},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3674975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674975","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/c7d70f02-f307-47ac-91c1-3b07c5615fa6","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/c7d70f02-f307-47ac-91c1-3b07c5615fa6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Liu, H, Zhang, Y, Chen, X, Zhang, D, Li, R & Qin, T 2024, 'Self-Supervised EEG Representation Learning for Robust Emotion Recognition', ACM Transactions on Sensor Networks, vol. 20, no. 5, 105. https://doi.org/10.1145/3674975","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G8740505804","display_name":null,"funder_award_id":"62202367","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1947251450","https://openalex.org/W2001097956","https://openalex.org/W2002055708","https://openalex.org/W2069084625","https://openalex.org/W2100235303","https://openalex.org/W2122098299","https://openalex.org/W2194775991","https://openalex.org/W2765856398","https://openalex.org/W2790404832","https://openalex.org/W2889782437","https://openalex.org/W2903462437","https://openalex.org/W2903959724","https://openalex.org/W2910444986","https://openalex.org/W2911964244","https://openalex.org/W2941401350","https://openalex.org/W2948210185","https://openalex.org/W3006335454","https://openalex.org/W3024961463","https://openalex.org/W3041002261","https://openalex.org/W3047405387","https://openalex.org/W3091145974","https://openalex.org/W3101658985","https://openalex.org/W3104032928","https://openalex.org/W3108417339","https://openalex.org/W3129064953","https://openalex.org/W3173196825","https://openalex.org/W3199638068","https://openalex.org/W3205895886","https://openalex.org/W3209433168","https://openalex.org/W4210437389","https://openalex.org/W4210767730","https://openalex.org/W4220661484","https://openalex.org/W4294031651","https://openalex.org/W4303426745","https://openalex.org/W4378651140","https://openalex.org/W4385519788","https://openalex.org/W4392125748","https://openalex.org/W4393580111"],"related_works":["https://openalex.org/W3040691452","https://openalex.org/W3155717344","https://openalex.org/W1770458422","https://openalex.org/W2237537322","https://openalex.org/W2950678851","https://openalex.org/W3119773509","https://openalex.org/W4301248618","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,182],"based":[2],"on":[3,179],"electroencephalography":[4],"(EEG)":[5],"is":[6],"becoming":[7],"a":[8,51,84,113,139,149],"growing":[9],"concern":[10],"of":[11,38,47,93,123,142,176,189],"researchers":[12],"due":[13],"to":[14,26,75,89,119,132,161],"its":[15],"various":[16],"applications":[17],"and":[18,30,72,174,187],"portable":[19],"devices.":[20],"Existing":[21],"methods":[22],"are":[23],"mainly":[24],"dedicated":[25],"EEG":[27,70,79,95,108],"feature":[28],"representation":[29],"have":[31,192],"made":[32],"impressive":[33],"progress.":[34],"However,":[35],"the":[36,90,121,127,134,159,172,185,190],"problem":[37],"scarce":[39],"labels":[40],"restricts":[41],"their":[42],"further":[43],"promotion.":[44],"In":[45],"light":[46],"this,":[48],"we":[49,82,111,147],"propose":[50,112],"self-supervised":[52],"framework":[53],"with":[54,152],"contrastive":[55,98,128],"learning":[56,129],"for":[57,97],"robust":[58],"EEG-based":[59,180],"emotion":[60,181],"recognition,":[61],"which":[62,100],"can":[63,157],"effectively":[64],"leverage":[65],"both":[66],"readily":[67],"available":[68],"unlabeled":[69,124],"signals":[71,96],"labeled":[73,143],"ones":[74],"learn":[76,162],"highly":[77],"discriminative":[78],"features.":[80,164],"Firstly,":[81],"construct":[83],"specific":[85],"pretext":[86],"task":[87],"according":[88],"sequential":[91],"non-stationarity":[92],"emotional":[94],"learning,":[99,146],"aims":[101],"at":[102],"extracting":[103],"pseudo-label":[104],"information":[105],"from":[106],"all":[107],"data.":[109],"Meanwhile,":[110],"novel":[114],"negative":[115],"segment":[116],"selection":[117],"algorithm":[118],"reduce":[120],"noise":[122],"data":[125],"during":[126,145],"process.":[130],"Secondly,":[131],"mitigate":[133],"overfitting":[135],"issue":[136],"induced":[137],"by":[138],"small":[140],"number":[141],"samples":[144],"originate":[148],"loss":[150],"function":[151],"label":[153],"smoothing":[154],"regularization":[155],"that":[156],"guide":[158],"model":[160,178,191],"generalizable":[163],"Extensive":[165],"experiments":[166],"over":[167],"three":[168],"benchmark":[169],"datasets":[170],"demonstrate":[171],"effectiveness":[173],"superiority":[175],"our":[177],"task.":[183],"Besides,":[184],"generalization":[186],"robustness":[188],"also":[193],"been":[194],"proved":[195],"through":[196],"sufficient":[197],"experiments.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
