{"id":"https://openalex.org/W3185834143","doi":"https://doi.org/10.1109/tkde.2021.3099125","title":"DAH: Discrete Asymmetric Hashing for Efficient Cross-Media Retrieval","display_name":"DAH: Discrete Asymmetric Hashing for Efficient Cross-Media Retrieval","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3185834143","doi":"https://doi.org/10.1109/tkde.2021.3099125","mag":"3185834143"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3099125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3099125","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5101658131","display_name":"Donglin Zhang","orcid":"https://orcid.org/0000-0002-0716-0918"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Donglin Zhang","raw_affiliation_strings":["School of artificial intelligence and computer science, Jiangnan University, 66374 Wuxi, Jiangsu, China, 214122 (e-mail: dlinzzhang@gmail.com)"],"affiliations":[{"raw_affiliation_string":"School of artificial intelligence and computer science, Jiangnan University, 66374 Wuxi, Jiangsu, China, 214122 (e-mail: dlinzzhang@gmail.com)","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["Jiangnan University, the School of Internet of Things, wuxi, Jiangsu, China, (e-mail: wu_xiaojun@jiangnan.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Jiangnan University, the School of Internet of Things, wuxi, Jiangsu, China, (e-mail: wu_xiaojun@jiangnan.edu.cn)","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049469328","display_name":"Tianyang Xu","orcid":"https://orcid.org/0000-0002-9015-3128"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Xu","raw_affiliation_strings":["School of IoT Engineering, Jiangnan University, Wuxi, Jiangsu, China, 214122 (e-mail: tianyang_xu@163.com)"],"affiliations":[{"raw_affiliation_string":"School of IoT Engineering, Jiangnan University, Wuxi, Jiangsu, China, 214122 (e-mail: tianyang_xu@163.com)","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075083266","display_name":"He-Feng Yin","orcid":"https://orcid.org/0000-0001-5831-1475"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hefeng Yin","raw_affiliation_strings":["School of artificial intelligence and computer science, Jiangnan University, 66374 Wuxi, Jiangsu, China, (e-mail: yin_hefeng@jiangnan.edu.cn)"],"affiliations":[{"raw_affiliation_string":"School of artificial intelligence and computer science, Jiangnan University, 66374 Wuxi, Jiangsu, China, (e-mail: yin_hefeng@jiangnan.edu.cn)","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101658131"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":2.8088,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92220492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"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":1.0,"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":1.0,"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":0.9944999814033508,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9940000176429749,"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":0.802894115447998},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7026491761207581},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5711255073547363},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5602035522460938},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4974422752857208},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.48288583755493164},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45716536045074463},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4390804171562195},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.41475000977516174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4070451855659485},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4065527021884918},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.29837915301322937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2371126115322113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802894115447998},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7026491761207581},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5711255073547363},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5602035522460938},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4974422752857208},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.48288583755493164},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45716536045074463},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4390804171562195},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.41475000977516174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4070451855659485},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4065527021884918},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.29837915301322937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2371126115322113},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3099125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3099125","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G344950217","display_name":null,"funder_award_id":"U1836218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5081062661","display_name":null,"funder_award_id":"62020106012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6905154729","display_name":null,"funder_award_id":"61672265","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":67,"referenced_works":["https://openalex.org/W1870428314","https://openalex.org/W1910300841","https://openalex.org/W1974647172","https://openalex.org/W1976258951","https://openalex.org/W1992371516","https://openalex.org/W1997107867","https://openalex.org/W2006147162","https://openalex.org/W2007972815","https://openalex.org/W2012833704","https://openalex.org/W2024082504","https://openalex.org/W2049993534","https://openalex.org/W2060300932","https://openalex.org/W2086958058","https://openalex.org/W2106277773","https://openalex.org/W2110764733","https://openalex.org/W2118410043","https://openalex.org/W2155803963","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2337086876","https://openalex.org/W2345649690","https://openalex.org/W2418353079","https://openalex.org/W2493727926","https://openalex.org/W2526152041","https://openalex.org/W2573426660","https://openalex.org/W2591669147","https://openalex.org/W2604880013","https://openalex.org/W2606965845","https://openalex.org/W2733636222","https://openalex.org/W2739103128","https://openalex.org/W2740755807","https://openalex.org/W2748725735","https://openalex.org/W2765440071","https://openalex.org/W2781821509","https://openalex.org/W2798354744","https://openalex.org/W2802864907","https://openalex.org/W2808301810","https://openalex.org/W2890043419","https://openalex.org/W2892816441","https://openalex.org/W2895249671","https://openalex.org/W2897547672","https://openalex.org/W2903903916","https://openalex.org/W2907166662","https://openalex.org/W2909781645","https://openalex.org/W2945578092","https://openalex.org/W2949588459","https://openalex.org/W2951808862","https://openalex.org/W2962955826","https://openalex.org/W2963173190","https://openalex.org/W2963187862","https://openalex.org/W2971949219","https://openalex.org/W2982905682","https://openalex.org/W2999412666","https://openalex.org/W3003460937","https://openalex.org/W3003735286","https://openalex.org/W3008072721","https://openalex.org/W3014697397","https://openalex.org/W3033799362","https://openalex.org/W3048584318","https://openalex.org/W3092820619","https://openalex.org/W3111801553","https://openalex.org/W3122451732","https://openalex.org/W6639283537","https://openalex.org/W6681077227","https://openalex.org/W6684181414","https://openalex.org/W6685527872","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2811247857","https://openalex.org/W102859714","https://openalex.org/W4385382899","https://openalex.org/W1551533237","https://openalex.org/W2084899141","https://openalex.org/W2044784665","https://openalex.org/W4251536634","https://openalex.org/W2094127768","https://openalex.org/W2088296667","https://openalex.org/W4385261619"],"abstract_inverted_index":{"Given":[0],"the":[1,24,31,35,44,67,74,83,89,130,139,149,155,159,167,172],"merits":[2],"in":[3,17,57,194],"high":[4],"computational":[5,140],"efficiency":[6],"and":[7,78,133,154,196],"low":[8],"storage":[9],"cost,":[10],"hashing":[11,100],"techniques":[12],"have":[13],"been":[14],"widely":[15],"studied":[16],"cross-media":[18,60],"retrieval.":[19],"Existing":[20],"methods":[21],"usually":[22],"adopt":[23],"equal":[25,37,113,195],"length":[26,38,116],"encoding":[27,117],"scheme":[28,39,178],"to":[29,65,71,80,147,181],"represent":[30],"multimedia":[32],"data.":[33],"However,":[34],"strictly":[36],"maybe":[40],"not":[41],"optimal":[42],"because":[43],"dimension":[45],"of":[46],"different":[47],"modalities":[48],"is":[49,145,179,192],"often":[50],"various.":[51],"Besides,":[52],"there":[53],"exists":[54],"other":[55],"challenges":[56],"designing":[58],"a":[59,94,105,122,175],"retrieval":[61],"system,":[62],"e.g.,":[63],"how":[64,70,79],"address":[66],"discrete":[68,98],"constraints,":[69],"avoid":[72],"using":[73],"n*n":[75],"similarity":[76],"matrix,":[77],"effectively":[81],"exploit":[82],"discriminative":[84],"label":[85,134],"information.":[86],"To":[87],"conquer":[88],"above":[90],"challenges,":[91],"we":[92],"propose":[93],"novel":[95],"method,":[96],"i.e.,":[97],"asymmetric":[99,143],"(DAH).":[101],"Specifically,":[102],"DAH":[103,120,191],"exploits":[104],"flexible":[106],"model,":[107],"which":[108],"can":[109,162],"seamlessly":[110],"deal":[111],"with":[112],"or":[114],"unequal":[115,197],"scenarios.":[118,198],"Moreover,":[119],"constructs":[121],"supervised":[123],"semantic":[124,176],"embedding":[125],"framework":[126],"by":[127,166],"jointly":[128],"minimizing":[129],"distance-distance":[131],"difference":[132],"reconstructing":[135],"error,":[136],"significantly":[137],"reducing":[138],"complexity.":[141],"An":[142],"strategy":[144],"employed":[146],"establish":[148],"connection":[150],"between":[151],"hash":[152,160,185],"codes":[153,161],"latent":[156],"subspace.":[157],"Furthermore,":[158],"be":[163],"learned":[164],"discretely":[165],"designed":[168],"optimization":[169],"algorithm.":[170],"In":[171],"training":[173],"stage2,":[174],"intersection":[177],"proposed":[180],"learn":[182],"more":[183],"powerful":[184],"functions.":[186],"Experiments":[187],"show":[188],"that":[189],"our":[190],"effective":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
