{"id":"https://openalex.org/W4415540306","doi":"https://doi.org/10.1145/3746027.3755135","title":"MeDKCoOp: Dual Knowledge-guided Graph Prompt Learning for Biomedical Vision-Language Models","display_name":"MeDKCoOp: Dual Knowledge-guided Graph Prompt Learning for Biomedical Vision-Language Models","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540306","doi":"https://doi.org/10.1145/3746027.3755135"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-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/A5101330972","display_name":"Yijun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Wang","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0009-0008-3833-4205","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030444210","display_name":"Siying Wu","orcid":"https://orcid.org/0000-0002-9752-258X"},"institutions":[{"id":"https://openalex.org/I4210137491","display_name":"National Science Centre","ror":"https://ror.org/03ha2q922","country_code":"PL","type":"government","lineage":["https://openalex.org/I4210137491"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Siying Wu","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0000-0002-9752-258X","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, AnHui, HeFei, China","institution_ids":["https://openalex.org/I4210137491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112603131","display_name":"Lizhao Gan","orcid":"https://orcid.org/0009-0004-4290-0995"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lubin Gan","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0009-0004-4290-0995","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102941617","display_name":"Zheyu Zhang","orcid":"https://orcid.org/0000-0001-7487-4673"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheyu Zhang","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0000-0001-7487-4673","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642812","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-0384-8712"},"institutions":[{"id":"https://openalex.org/I4210137491","display_name":"National Science Centre","ror":"https://ror.org/03ha2q922","country_code":"PL","type":"government","lineage":["https://openalex.org/I4210137491"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0000-0003-0384-8712","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, AnHui, HeFei, China","institution_ids":["https://openalex.org/I4210137491"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhangchi Hu","orcid":"https://orcid.org/0009-0008-4030-825X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangchi Hu","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0009-0008-4030-825X","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064871459","display_name":"Huyue Zhu","orcid":"https://orcid.org/0000-0001-7286-2281"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huyue Zhu","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0000-0001-7286-2281","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021879146","display_name":"Peixi Wu","orcid":"https://orcid.org/0009-0003-1376-9628"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixi Wu","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0009-0003-1376-9628","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656317","display_name":"Xiaoyan Sun","orcid":"https://orcid.org/0000-0003-3638-5566"},"institutions":[{"id":"https://openalex.org/I4210137491","display_name":"National Science Centre","ror":"https://ror.org/03ha2q922","country_code":"PL","type":"government","lineage":["https://openalex.org/I4210137491"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Xiaoyan Sun","raw_affiliation_strings":["University of Science and Technology of China, AnHui, HeFei, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, AnHui, HeFei, China"],"raw_orcid":"https://orcid.org/0000-0003-3638-5566","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, AnHui, HeFei, China and Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, AnHui, HeFei, China","institution_ids":["https://openalex.org/I4210137491"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26165724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3635","last_page":"3644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.996999979019165,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7046999931335449},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.683899998664856},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5400999784469604},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4918999969959259},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46369999647140503},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4325999915599823},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4212000072002411},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4074999988079071},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.39980000257492065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762499988079071},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7046999931335449},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.683899998664856},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5400999784469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055000185966492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.503600001335144},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4918999969959259},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.39100000262260437},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.325300008058548},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C3019692148","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Therapeutic modalities","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2517000138759613},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25060001015663147},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6308808780","display_name":null,"funder_award_id":"62021001","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":23,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2623808523","https://openalex.org/W2828862258","https://openalex.org/W3198377975","https://openalex.org/W3201906559","https://openalex.org/W3213233983","https://openalex.org/W4284890590","https://openalex.org/W4304092062","https://openalex.org/W4312310776","https://openalex.org/W4367046771","https://openalex.org/W4385562584","https://openalex.org/W4386057720","https://openalex.org/W4386071547","https://openalex.org/W4386072441","https://openalex.org/W4386790226","https://openalex.org/W4387695265","https://openalex.org/W4391109864","https://openalex.org/W4393158281","https://openalex.org/W4394844846","https://openalex.org/W4398190964","https://openalex.org/W4399107553","https://openalex.org/W4403456736","https://openalex.org/W6964665992"],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"evolution":[2],"of":[3,45,70],"vision-language":[4,152],"models":[5],"(VLMs),":[6],"such":[7],"as":[8],"CLIP,":[9],"has":[10],"demonstrated":[11],"remarkable":[12],"zero-shot":[13],"capabilities":[14],"in":[15,34,150,158],"downstream":[16,117],"tasks.":[17,118],"Prompt":[18],"learning":[19,95,105,149],"paradigms":[20],"like":[21],"Context":[22],"Optimization":[23],"(CoOp)":[24],"refine":[25],"learnable":[26,101],"prompts":[27,102],"for":[28,94],"efficient":[29],"adaptation.":[30],"However,":[31],"their":[32],"application":[33],"the":[35,42],"biomedical":[36,47,122],"domain":[37],"remains":[38],"limited":[39],"due":[40],"to":[41,116],"insufficient":[43],"utilization":[44],"specialized":[46],"knowledge":[48,71,77],"and":[49,81,89,113],"cross-modality":[50,96],"structural":[51],"relationships.":[52],"To":[53],"address":[54],"these,":[55],"we":[56],"introduce":[57],"MeDKCoOp,":[58],"a":[59,143],"Medical":[60],"Dual":[61],"Knowledge-guided":[62],"graph":[63,147],"adaptation":[64],"method":[65,108],"that":[66],"leverages":[67],"systematic":[68],"integration":[69],"through":[72,103,146],"three":[73],"aspects:":[74],"exploit":[75],"domain-specific":[76],"from":[78],"both":[79],"textual":[80],"visual":[82,111],"branches,":[83],"formalize":[84],"it":[85],"into":[86],"graph-structured":[87],"representations,":[88],"leverage":[90],"knowledge-guided":[91],"relation":[92,104],"transfer":[93],"fusion.":[97],"By":[98],"dynamically":[99],"optimizing":[100],"process,":[106],"our":[107],"achieves":[109],"disentangled":[110],"representation":[112],"enhances":[114],"transferability":[115],"Evaluations":[119],"across":[120],"8":[121],"datasets":[123],"spanning":[124],"7":[125],"imaging":[126],"modalities":[127],"demonstrate":[128],"state-of-the-art":[129],"cross-domain":[130],"generalization,":[131],"with":[132],"an":[133],"average":[134],"15.12%":[135],"accuracy":[136],"improvement":[137],"over":[138],"baselines.":[139],"Our":[140,162],"work":[141],"establishes":[142],"new":[144],"paradigm":[145],"prompt":[148],"medical":[151],"models,":[153],"advancing":[154],"robust":[155],"diagnostic":[156],"AI":[157],"data-scarce":[159],"clinical":[160],"scenarios.":[161],"code":[163],"is":[164],"available":[165],"at:":[166],"https://github.com/WangYijun-OUC/MeDKCoOp.":[167]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-25T00:00:00"}
