{"id":"https://openalex.org/W4416017289","doi":"https://doi.org/10.1145/3746252.3761176","title":"AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis","display_name":"AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017289","doi":"https://doi.org/10.1145/3746252.3761176"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Helin Wang","orcid":"https://orcid.org/0009-0001-6661-4975"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Helin Wang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0009-0001-6661-4975","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062037932","display_name":"Wei Du","orcid":"https://orcid.org/0000-0001-5356-2427"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Du","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5356-2427","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ning Liu","orcid":"https://orcid.org/0000-0001-7475-9739"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-7475-9739","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340637","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-9589-251X"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["The Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9589-251X","affiliations":[{"raw_affiliation_string":"The Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036903821","display_name":"Yanyu Xu","orcid":"https://orcid.org/0000-0001-8926-7833"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyu Xu","raw_affiliation_strings":["The Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-8926-7833","affiliations":[{"raw_affiliation_string":"The Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-8262-8883","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"2977","last_page":"2986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.3723999857902527,"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":0.3723999857902527,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.15680000185966492,"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":0.15109999477863312,"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/flexibility","display_name":"Flexibility (engineering)","score":0.6833000183105469},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6205000281333923},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5529999732971191},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4982999861240387},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4675999879837036},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4643000066280365},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.3790000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656999826431274},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6833000183105469},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6205000281333923},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5494999885559082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5284000039100647},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5005999803543091},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4675999879837036},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3149000108242035},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2795226127","https://openalex.org/W2886641317","https://openalex.org/W2914203365","https://openalex.org/W2982083293","https://openalex.org/W3045672834","https://openalex.org/W3139732141","https://openalex.org/W3176641147","https://openalex.org/W3201906559","https://openalex.org/W3203297015","https://openalex.org/W4387225969","https://openalex.org/W4390872745","https://openalex.org/W4402671465","https://openalex.org/W4402772638","https://openalex.org/W4403577841","https://openalex.org/W6912494966"],"related_works":[],"abstract_inverted_index":{"Contrastive":[0],"Language-Image":[1],"Pre-training":[2],"(CLIP)":[3],"has":[4,200],"emerged":[5],"as":[6,21,113],"an":[7,50,127],"effective":[8,51,136],"framework":[9,134],"for":[10,53,135],"multi-modal":[11],"representation":[12],"learning,":[13],"achieving":[14],"notable":[15],"success":[16],"in":[17,28,42,99,186],"diverse":[18],"tasks":[19],"such":[20],"medical":[22,29,194],"image":[23,30,108],"analysis.":[24],"CLIP's":[25],"growing":[26],"prominence":[27],"applications":[31],"is":[32],"restricted":[33],"by":[34],"its":[35],"significant":[36],"computational":[37],"demands,":[38],"creating":[39],"implementation":[40],"challenges":[41],"resource-constrained":[43],"clinical":[44],"environments.":[45],"While":[46],"knowledge":[47,137],"distillation":[48],"offers":[49],"approach":[52,199],"model":[54,102,160,174],"compression":[55],"with":[56],"preserved":[57],"accuracy,":[58],"existing":[59,67],"methods":[60,68],"suffer":[61],"from":[62,74],"two":[63],"fundamental":[64],"limitations.":[65],"Firstly,":[66],"focus":[69],"on":[70,191],"learning":[71],"better":[72],"information":[73,98,115],"single":[75,119],"models":[76,83,142],"while":[77],"ignoring":[78],"the":[79,88,96,100,104,155,172,179,202],"fact":[80],"that":[81,197],"student":[82,173],"can":[84,110],"generalize":[85],"well":[86],"under":[87],"guidance":[89],"of":[90,157,178],"multiple":[91,145],"teachers.":[92],"Secondly,":[93],"they":[94],"overlook":[95],"complementary":[97],"CLIP":[101],"where":[103],"text":[105],"encoder":[106,109],"and":[107,143,169],"be":[111],"leveraged":[112],"heterogeneous":[114,140],"to":[116,161,175,206],"teach":[117],"one":[118],"modality.":[120],"To":[121],"tackle":[122],"these":[123],"challenges,":[124],"we":[125],"propose":[126],"Adaptive":[128],"Heterogeneous":[129],"Multi-teacher":[130],"Knowledge":[131],"Distillation":[132],"(AdaHet-MKD)":[133],"transfer":[138],"across":[139],"text-image":[141],"among":[144],"teacher":[146,159,180],"models.":[147],"The":[148],"key":[149],"innovations":[150],"include:":[151],"(i)":[152],"adaptively":[153],"determining":[154],"contribution":[156],"each":[158],"specific":[162],"instances,":[163],"thereby":[164],"generating":[165],"integrated":[166],"soft":[167],"logits,":[168],"(ii)":[170],"enabling":[171],"operate":[176],"independently":[177],"model's":[181],"architecture,":[182],"which":[183],"enhances":[184],"flexibility":[185],"teacher-student":[187],"pairings.":[188],"Experimental":[189],"evaluations":[190],"publicly":[192],"available":[193],"datasets":[195],"demonstrate":[196],"our":[198],"achieved":[201],"state-of-the-art":[203],"performance":[204],"compared":[205],"baselines.":[207]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}
