{"id":"https://openalex.org/W7160944284","doi":"https://doi.org/10.1145/3794209.3794284","title":"CDDDNet: A Cross-Domain Depression Detection Network Based on Transfer Learning","display_name":"CDDDNet: A Cross-Domain Depression Detection Network Based on Transfer Learning","publication_year":2025,"publication_date":"2025-11-27","ids":{"openalex":"https://openalex.org/W7160944284","doi":"https://doi.org/10.1145/3794209.3794284"},"language":null,"primary_location":{"id":"doi:10.1145/3794209.3794284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794209.3794284","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3794209.3794284","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123204511","display_name":"Xiaohui Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Liu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-2425-463X","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135966793","display_name":"Ligang Zhou","orcid":"https://orcid.org/0000-0003-4794-6146"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ligang Zhou","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4794-6146","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441502","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-7800-3189"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-6429-5962","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135932215","display_name":"Zeguo Shao","orcid":"https://orcid.org/0000-0003-4313-8758"},"institutions":[{"id":"https://openalex.org/I4210135985","display_name":"Shanghai University of Medicine and Health Sciences","ror":"https://ror.org/03ns6aq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeguo Shao","raw_affiliation_strings":["Shanghai University of Medicine and Health Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4313-8758","affiliations":[{"raw_affiliation_string":"Shanghai University of Medicine and Health Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210135985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135944195","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0001-5514-021X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5514-021X","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135912478","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0001-7587-3314"},"institutions":[{"id":"https://openalex.org/I4210127380","display_name":"Pudong Medical Center","ror":"https://ror.org/02nptez24","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Human Phenome Institute, Fudan University, Shanghai, China and Center for Medical Research and Innovation, Shanghai Pudong Hospital, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7587-3314","affiliations":[{"raw_affiliation_string":"Human Phenome Institute, Fudan University, Shanghai, China and Center for Medical Research and Innovation, Shanghai Pudong Hospital, Shanghai, China","institution_ids":["https://openalex.org/I4210127380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8492000102996826,"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":0.8492000102996826,"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":0.0949999988079071,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.008100000210106373,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.766700029373169},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5587000250816345},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.529699981212616},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5246000289916992},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4578000009059906},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42080000042915344}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.766700029373169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.728600025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667900025844574},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5587000250816345},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.529699981212616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5246000289916992},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5246000289916992},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4578000009059906},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42080000042915344},{"id":"https://openalex.org/C2779178101","wikidata":"https://www.wikidata.org/wiki/Q6987274","display_name":"Negative transfer","level":3,"score":0.4196999967098236},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.36660000681877136},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C2780051608","wikidata":"https://www.wikidata.org/wiki/Q42844","display_name":"Major depressive disorder","level":3,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3794209.3794284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794209.3794284","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3794209.3794284","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3794209.3794284","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6716189980506897,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2077746856","https://openalex.org/W2084315798","https://openalex.org/W2584523198","https://openalex.org/W2964546587","https://openalex.org/W2972611968","https://openalex.org/W4223474672","https://openalex.org/W4224247713","https://openalex.org/W4280533611","https://openalex.org/W4383112473","https://openalex.org/W4384948865","https://openalex.org/W4391097250","https://openalex.org/W4401210400","https://openalex.org/W4401692469","https://openalex.org/W4408355265","https://openalex.org/W4411336702"],"related_works":[],"abstract_inverted_index":{"Depression":[0,45],"is":[1],"a":[2,48,115],"prevalent":[3],"mental":[4],"health":[5],"disorder":[6],"requiring":[7],"objective":[8],"and":[9,33,59,76,113,135],"reliable":[10],"diagnostic":[11],"tools.":[12],"However,":[13],"existing":[14],"EEG-based":[15,149],"depression":[16,65,150],"detection":[17,66],"methods":[18],"often":[19],"suffer":[20],"from":[21],"poor":[22],"generalization":[23],"across":[24,67],"datasets":[25],"due":[26],"to":[27,62,80,92,99],"variations":[28],"in":[29],"EEG":[30,54,69,98],"channel":[31,57],"configurations":[32],"limited":[34],"labeled":[35],"data.":[36],"To":[37],"address":[38],"these":[39],"challenges,":[40],"we":[41],"propose":[42],"CDDDNet":[43,71,91,126,145],"(Cross-Domain":[44],"Detection":[46],"Network),":[47],"novel":[49],"framework":[50],"that":[51,125],"integrates":[52],"multimodal":[53],"feature":[55],"fusion,":[56],"mapping,":[58],"transfer":[60,105],"learning":[61,106,137],"enable":[63],"robust":[64],"varying":[68],"configurations.":[70],"combines":[72],"handcrafted":[73],"wavelet":[74],"features":[75],"deep":[77,136],"temporal":[78],"representations":[79],"capture":[81],"complementary":[82],"time\u2013frequency":[83],"information.":[84],"A":[85],"weighted":[86],"averaged":[87],"mapping":[88],"module":[89],"allows":[90],"adapt":[93],"models":[94],"trained":[95],"on":[96,109,118],"high-density":[97],"low-density":[100],"EEG.":[101],"We":[102],"further":[103],"apply":[104],"by":[107],"pretraining":[108],"the":[110,119,142],"MODMA":[111],"dataset":[112],"fine-tuning":[114],"lightweight":[116],"classifier":[117],"target":[120],"domain.":[121],"Experimental":[122],"results":[123],"show":[124],"achieves":[127],"superior":[128],"performance,":[129],"reaching":[130],"93.50%":[131],"accuracy,":[132],"outperforming":[133],"traditional":[134],"baselines.":[138],"These":[139],"findings":[140],"highlight":[141],"potential":[143],"of":[144],"for":[146],"real-world,":[147],"portable":[148],"diagnosis.":[151]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-13T00:00:00"}