{"id":"https://openalex.org/W4304142280","doi":"https://doi.org/10.1145/3503161.3548026","title":"Enhancing Semi-Supervised Learning with Cross-Modal Knowledge","display_name":"Enhancing Semi-Supervised Learning with Cross-Modal Knowledge","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304142280","doi":"https://doi.org/10.1145/3503161.3548026"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548026","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548026","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th 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/A5101774156","display_name":"Hui Zhu","orcid":"https://orcid.org/0000-0002-0056-3220"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","Institute of Computing Technology, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110238659","display_name":"Yongchun Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongchun Lu","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332096","display_name":"Hongbin Wang","orcid":"https://orcid.org/0000-0003-2176-2998"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbin Wang","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084285338","display_name":"Xunyi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xunyi Zhou","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100938047","display_name":"Qin Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Ma","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006721216","display_name":"Yanhong Liu","orcid":"https://orcid.org/0000-0002-7349-5871"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanhong Liu","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101654008","display_name":"Ning Jiang","orcid":"https://orcid.org/0000-0003-4549-6372"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Jiang","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740762","display_name":"Xin Wei","orcid":"https://orcid.org/0000-0002-9832-2176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Wei","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088142649","display_name":"Linchengxi Zeng","orcid":"https://orcid.org/0000-0002-1140-9640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linchengxi Zeng","raw_affiliation_strings":["Mashang Consumer Finance Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mashang Consumer Finance Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100750786","display_name":"Xiaofang Zhao","orcid":"https://orcid.org/0000-0002-1898-1359"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Zhao","raw_affiliation_strings":["Institute of Computing Technology &amp; Institute of Intelligent Computing Technology, Suzhou, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology &amp; Institute of Intelligent Computing Technology, Suzhou, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4153,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.587066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4456","last_page":"4465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8026063442230225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6146610379219055},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5881704092025757},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5597744584083557},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5426043272018433},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5243721008300781},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.49773290753364563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4801351726055145},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4569381773471832},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.42894643545150757},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3915238678455353},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3277425169944763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08375945687294006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026063442230225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6146610379219055},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5881704092025757},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5597744584083557},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5426043272018433},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5243721008300781},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.49773290753364563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4801351726055145},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4569381773471832},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.42894643545150757},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3915238678455353},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3277425169944763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08375945687294006},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548026","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548026","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2081580037","https://openalex.org/W2296073425","https://openalex.org/W2560674852","https://openalex.org/W2747329762","https://openalex.org/W2964137095","https://openalex.org/W2964159205","https://openalex.org/W2967052791","https://openalex.org/W2979805229","https://openalex.org/W2981708954","https://openalex.org/W3035682985","https://openalex.org/W3035700349","https://openalex.org/W3094085017","https://openalex.org/W3119399952","https://openalex.org/W3120387732","https://openalex.org/W3182493068","https://openalex.org/W3209458476","https://openalex.org/W3209580172","https://openalex.org/W4249009392","https://openalex.org/W4310895557","https://openalex.org/W6745136726"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W627697492"],"abstract_inverted_index":{"Semi-supervised":[0],"learning":[1],"(SSL),":[2],"which":[3,51,91],"leverages":[4],"a":[5,17,35,79],"small":[6],"number":[7,19],"of":[8,20,45,59,96,143,160],"labeled":[9,70],"data":[10],"that":[11],"rely":[12],"on":[13,153],"expert":[14],"knowledge":[15],"and":[16,38,61,68,99,113,119,137,148],"large":[18],"easily":[21,53],"accessible":[22],"unlabeled":[23],"data,":[24],"has":[25],"made":[26],"rapid":[27],"progress":[28],"recently.":[29],"However,":[30],"the":[31,39,93,100,117,126,130,140,144,158],"information":[32,60,112],"comes":[33],"from":[34,133],"single":[36],"modality":[37],"corresponding":[40],"labels":[41,98],"are":[42,72,151],"in":[43,47],"form":[44],"one-hot":[46],"pre-existing":[48],"SSL":[49,85],"approaches,":[50],"can":[52],"lead":[54],"to":[55,82,128,135,156],"deficiency":[56],"supervision,":[57],"omission":[58],"unsatisfactory":[62],"results,":[63],"especially":[64],"when":[65],"more":[66,110],"categories":[67],"less":[69],"samples":[71],"covered.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"novel":[80],"method":[81],"further":[83],"enhance":[84],"by":[86],"introducing":[87],"semantic":[88,101],"modal":[89],"knowledge,":[90],"contains":[92],"word":[94],"embeddings":[95],"class":[97],"hierarchy":[102],"structure":[103],"among":[104],"classes.":[105],"The":[106,123],"former":[107],"helps":[108],"retain":[109],"potential":[111],"almost":[114],"quantitatively":[115],"reflects":[116],"similarities":[118],"differences":[120],"between":[121],"categories.":[122],"later":[124],"encourages":[125],"model":[127],"construct":[129],"classification":[131],"edge":[132],"simple":[134],"complex,":[136],"thus":[138],"improves":[139],"generalization":[141],"ability":[142],"model.":[145],"Comprehensive":[146],"experiments":[147],"ablation":[149],"studies":[150],"conducted":[152],"commonly-used":[154],"datasets":[155],"demonstrate":[157],"effectiveness":[159],"our":[161],"method.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
