{"id":"https://openalex.org/W2989562653","doi":"https://doi.org/10.1109/tbdata.2019.2954516","title":"Weakly-supervised Cross-modal Hashing","display_name":"Weakly-supervised Cross-modal Hashing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2989562653","doi":"https://doi.org/10.1109/tbdata.2019.2954516","mag":"2989562653"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2019.2954516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2954516","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","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/A5062179596","display_name":"Xuanwu Liu","orcid":null},"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":true,"raw_author_name":"Xuanwu Liu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"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/A5027082940","display_name":"Guoxian Yu","orcid":"https://orcid.org/0000-0002-1667-6705"},"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":"Guoxian Yu","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"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/A5090148962","display_name":"Carlotta Domeniconi","orcid":"https://orcid.org/0000-0003-2140-9596"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlotta Domeniconi","raw_affiliation_strings":["Department of Computer Science, George Mason University, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384767","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5890-0365"},"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":"Jun Wang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"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/A5047341940","display_name":"Guoqiang Xiao","orcid":"https://orcid.org/0000-0003-2165-476X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xiao","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103208844","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0002-3899-1482"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Processing for Building Big Data, School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Processing for Building Big Data, School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062179596"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":1.0122,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.8116574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.994700014591217,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.977400004863739,"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":0.7472985982894897},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7401501536369324},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6539932489395142},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5484011769294739},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5017492771148682},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.48391181230545044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4644356667995453},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3714921772480011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36613768339157104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33934664726257324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7472985982894897},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7401501536369324},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6539932489395142},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5484011769294739},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5017492771148682},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.48391181230545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4644356667995453},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3714921772480011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36613768339157104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33934664726257324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2019.2954516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2954516","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3900474127","display_name":null,"funder_award_id":"61571163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5564147583","display_name":null,"funder_award_id":"61872300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G659245102","display_name":null,"funder_award_id":"61873214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6640186486","display_name":null,"funder_award_id":"61532014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7148930410","display_name":null,"funder_award_id":"61871020","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":51,"referenced_works":["https://openalex.org/W1592096085","https://openalex.org/W1922199343","https://openalex.org/W1970055505","https://openalex.org/W1972490990","https://openalex.org/W1974647172","https://openalex.org/W1976258951","https://openalex.org/W2002257313","https://openalex.org/W2014103885","https://openalex.org/W2017615984","https://openalex.org/W2025335430","https://openalex.org/W2064797228","https://openalex.org/W2069796584","https://openalex.org/W2070753207","https://openalex.org/W2071207147","https://openalex.org/W2106277773","https://openalex.org/W2115115103","https://openalex.org/W2140335411","https://openalex.org/W2145065594","https://openalex.org/W2159373756","https://openalex.org/W2162006472","https://openalex.org/W2165673880","https://openalex.org/W2171626009","https://openalex.org/W2203543769","https://openalex.org/W2210322478","https://openalex.org/W2232201864","https://openalex.org/W2266728343","https://openalex.org/W2397674542","https://openalex.org/W2411707397","https://openalex.org/W2476034201","https://openalex.org/W2526152041","https://openalex.org/W2609724507","https://openalex.org/W2738662130","https://openalex.org/W2746791238","https://openalex.org/W2778018998","https://openalex.org/W2789037498","https://openalex.org/W2795832645","https://openalex.org/W2903903916","https://openalex.org/W2905040928","https://openalex.org/W2963213486","https://openalex.org/W4237723258","https://openalex.org/W6608183366","https://openalex.org/W6629858893","https://openalex.org/W6629956336","https://openalex.org/W6668990524","https://openalex.org/W6680962578","https://openalex.org/W6684181414","https://openalex.org/W6693399182","https://openalex.org/W6697214482","https://openalex.org/W6697511038","https://openalex.org/W6712733126","https://openalex.org/W6721087566"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"Cross-modal":[0],"hashing":[1,21,62,174,184],"can":[2,177],"efficiently":[3],"retrieve":[4],"data":[5,40,114,121,142],"across":[6],"different":[7],"modalities":[8],"and":[9,33,43,78,115,144,148,168],"has":[10],"been":[11,24],"successfully":[12],"applied":[13],"in":[14,50],"various":[15],"domains.":[16],"Although":[17],"many":[18],"supervised":[19,60,72],"cross-modal":[20,61,155,173,183],"methods":[22],"have":[23],"proposed,":[25],"they":[26],"generally":[27],"focus":[28],"on":[29,124,159,185],"two":[30],"modals":[31,143],"only":[32],"assume":[34],"that":[35,163],"the":[36,58,68,110,117,125,136,140,145,151,180],"labels":[37,111],"of":[38,84,112,182],"training":[39,85,113],"are":[41],"sufficient":[42],"complete.":[44],"This":[45],"assumption":[46],"is":[47,165],"not":[48],"practical":[49],"real":[51],"scenarios.":[52],"In":[53],"this":[54,132],"article,":[55],"we":[56],"propose":[57],"weakly":[59,71],"(WCHash),":[63],"which":[64],"takes":[65],"into":[66],"account":[67],"widely":[69],"witnessed":[70],"information":[73],"(":[74],"<italic":[75,79],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[76,80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">incomplete</i>":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">insufficient":[81],"labels</i>":[82],")":[83],"data.":[86],"Specifically,":[87],"WCHash":[88,164,176],"first":[89],"optimizes":[90],"a":[91],"latent":[92],"central":[93,146],"modality":[94],"with":[95],"respect":[96],"to":[97,108,134],"other":[98],"modalities.":[99,189],"Next,":[100],"it":[101,130],"uses":[102,131],"an":[103],"efficient":[104,167],"multi-label":[105],"weak-label":[106],"method":[107],"enrich":[109],"measures":[116],"semantic":[118],"similarity":[119,133],"between":[120,139],"points":[122],"based":[123],"enriched":[126],"labels.":[127],"After":[128],"that,":[129],"guide":[135],"correlation":[137],"maximization":[138],"respective":[141],"modal":[147],"thus":[149],"achieves":[150],"hash":[152],"functions":[153],"for":[154],"retrieval.":[156],"Experimental":[157],"results":[158],"real-world":[160],"datasets":[161],"demonstrate":[162],"more":[166,188],"effective":[169],"than":[170],"related":[171],"state-of-the-art":[172],"methods.":[175],"significantly":[178],"reduce":[179],"complexity":[181],"three":[186],"or":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
