{"id":"https://openalex.org/W4392449958","doi":"https://doi.org/10.1109/tmm.2024.3372876","title":"Scalable Discrete and Asymmetric Unequal Length Hashing Learning for Cross-Modal Retrieval","display_name":"Scalable Discrete and Asymmetric Unequal Length Hashing Learning for Cross-Modal Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392449958","doi":"https://doi.org/10.1109/tmm.2024.3372876"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3372876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3372876","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","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/A5003969171","display_name":"Shaohua Teng","orcid":"https://orcid.org/0000-0002-7204-1288"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Teng","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7204-1288","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013579934","display_name":"LI Jiangbo","orcid":"https://orcid.org/0009-0008-2758-4401"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbo Li","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-2758-4401","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027800178","display_name":"Luyao Teng","orcid":"https://orcid.org/0000-0002-3872-4085"},"institutions":[{"id":"https://openalex.org/I4210104080","display_name":"Guangzhou Panyu Polytechnic","ror":"https://ror.org/01j9jcf33","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104080"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Teng","raw_affiliation_strings":["School of Information Engineering, Guangzhou Panyu Polytechic, Guangzhou, China","Faculty of Information Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3872-4085","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangzhou Panyu Polytechic, Guangzhou, China","institution_ids":["https://openalex.org/I4210104080"]},{"raw_affiliation_string":"Faculty of Information Technology, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101726684","display_name":"Lunke Fei","orcid":"https://orcid.org/0000-0001-6072-7875"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lunke Fei","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6072-7875","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090664309","display_name":"Naiqi Wu","orcid":"https://orcid.org/0000-0001-6782-458X"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Naiqi Wu","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China"],"raw_orcid":"https://orcid.org/0000-0001-6782-458X","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108612761","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-8273-9527"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8273-9527","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9686,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86858131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"7917","last_page":"7932"},"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":0.9987999796867371,"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":0.9987999796867371,"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":0.949999988079071,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9351999759674072,"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":0.8551590442657471},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6206108331680298},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6128591895103455},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5845398902893066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41990065574645996},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41700923442840576},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15830597281455994},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10914343595504761}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8551590442657471},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6206108331680298},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6128591895103455},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5845398902893066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41990065574645996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41700923442840576},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15830597281455994},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10914343595504761},{"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:10.1109/tmm.2024.3372876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3372876","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6841495791","display_name":"\u57fa\u4e8e\u534f\u540c\u7684\u9c81\u68d2\u591a\u89c6\u56fe\u5b66\u4e60\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972102","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1870428314","https://openalex.org/W1976258951","https://openalex.org/W1992371516","https://openalex.org/W2007972815","https://openalex.org/W2103972604","https://openalex.org/W2106277773","https://openalex.org/W2155803963","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2526152041","https://openalex.org/W2591669147","https://openalex.org/W2748725735","https://openalex.org/W2766247310","https://openalex.org/W2800948734","https://openalex.org/W2802864907","https://openalex.org/W2891193211","https://openalex.org/W2945578092","https://openalex.org/W2971949219","https://openalex.org/W2981777726","https://openalex.org/W2999412666","https://openalex.org/W3003735286","https://openalex.org/W3008014442","https://openalex.org/W3008072721","https://openalex.org/W3033799362","https://openalex.org/W3097807705","https://openalex.org/W3166240318","https://openalex.org/W3168742240","https://openalex.org/W3175807787","https://openalex.org/W3185834143","https://openalex.org/W3192393047","https://openalex.org/W3195103026","https://openalex.org/W3196246284","https://openalex.org/W3198985204","https://openalex.org/W4205606729","https://openalex.org/W4225538638","https://openalex.org/W4284884020","https://openalex.org/W4289792716","https://openalex.org/W4300219050","https://openalex.org/W4317496691","https://openalex.org/W6639283537","https://openalex.org/W6681077227","https://openalex.org/W6684181414"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W3023219121"],"abstract_inverted_index":{"Due":[0],"to":[1,54,60,66,81,122,148],"high":[2],"computational":[3],"efficiency":[4],"and":[5,27,57,79,103,145,162],"low":[6],"storage":[7],"cost,":[8],"cross-modal":[9],"hashing":[10],"retrieval":[11],"attracts":[12],"much":[13],"attention.":[14],"However,":[15],"as":[16],"heterogeneous":[17,128],"data":[18,147],"from":[19],"different":[20,36],"modalities":[21,37],"often":[22],"have":[23],"distinct":[24],"physical":[25],"meanings":[26],"underlying":[28],"structures,":[29],"learning":[30,137],"encoding":[31,120],"with":[32,158],"equal":[33],"length":[34,119],"for":[35],"may":[38],"result":[39],"in":[40],"an":[41,166],"insurmountable":[42],"semantic":[43,125,135],"gap.":[44],"In":[45],"addition,":[46],"there":[47],"are":[48],"still":[49],"some":[50],"issues,":[51],"e.g.,":[52],"how":[53,65,80],"combine":[55],"label":[56,144,163],"sample":[58,146],"information":[59,164],"learn":[61],"hash":[62,114,153,160,181],"codes":[63,161],"effectively,":[64],"reduce":[67],"the":[68,84,91,124,174,190],"time":[69],"consumption":[70],"caused":[71],"by":[72,165,178],"computing":[73],"n":[74,76],"\u00d7":[75],"similarity":[77,142],"matrix,":[78],"effectively":[82],"solve":[83],"complex":[85],"discrete":[86,175,180],"optimization":[87,176],"problem.":[88],"To":[89],"overcome":[90],"above":[92],"challenges,":[93],"this":[94],"study":[95],"propose":[96],"a":[97,112,133,150],"novel":[98,113],"model":[99,115],"called":[100],"Scalable":[101],"Discrete":[102],"Asymmetric":[104],"Unequal":[105],"Length":[106],"Hashing":[107],"(SDAULH).":[108],"First,":[109],"SDAULH":[110,131,156,171],"constructs":[111],"that":[116],"utilizes":[117],"unequal":[118],"schemes":[121],"narrow":[123],"gap":[126],"between":[127,143],"modalities.":[129],"Second,":[130],"develops":[132],"dual":[134],"embedding":[136],"scheme,":[138],"which":[139],"combines":[140],"pairwise":[141],"generate":[149],"more":[151],"discriminative":[152],"code.":[154],"Third,":[155],"associates":[157],"both":[159],"asymmetric":[167],"relaxation":[168],"strategy.":[169],"Furthermore,":[170],"solves":[172],"directly":[173],"problem":[177],"generating":[179],"codes.":[182],"Experimental":[183],"results":[184],"on":[185],"four":[186],"benchmark":[187],"datasets":[188],"demonstrate":[189],"promising":[191],"performance":[192],"of":[193],"SDAULH.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}