{"id":"https://openalex.org/W4399374383","doi":"https://doi.org/10.1109/tkde.2024.3396492","title":"Similarity Transitivity Broken-Aware Multi-Modal Hashing","display_name":"Similarity Transitivity Broken-Aware Multi-Modal Hashing","publication_year":2024,"publication_date":"2024-06-05","ids":{"openalex":"https://openalex.org/W4399374383","doi":"https://doi.org/10.1109/tkde.2024.3396492"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3396492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3396492","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/A5008273094","display_name":"Rong-Cheng Tu","orcid":"https://orcid.org/0000-0002-9567-159X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Cheng Tu","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9567-159X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626590","display_name":"Xian-Ling Mao","orcid":"https://orcid.org/0000-0001-6795-2311"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Ling Mao","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6795-2311","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329186","display_name":"Jinyu Liu","orcid":"https://orcid.org/0009-0000-8317-2980"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015360017","display_name":"Yatai Ji","orcid":"https://orcid.org/0009-0000-8096-2928"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yatai Ji","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","Shenzhen International Graduate School, Tsinghua University, Shenzhen, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, P.R. China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323842","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0003-4488-0102"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["School of Computer Science, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4488-0102","affiliations":[{"raw_affiliation_string":"School of Computer Science, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087631670","display_name":"Heyan Huang","orcid":"https://orcid.org/0000-0002-0320-7520"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heyan Huang","raw_affiliation_strings":["Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0320-7520","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4306,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82202353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"36","issue":"11","first_page":"7003","last_page":"7014"},"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":0.9955999851226807,"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":0.9955999851226807,"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/T11478","display_name":"Caching and Content Delivery","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.7953032851219177},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.7321860194206238},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5666818618774414},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5503191947937012},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5326091051101685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4649772644042969},{"id":"https://openalex.org/keywords/consistent-hashing","display_name":"Consistent hashing","score":0.4141075313091278},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39919254183769226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3376781642436981},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3275800943374634},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3183146119117737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12404844164848328},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.11837783455848694},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1021314263343811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953032851219177},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.7321860194206238},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5666818618774414},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5503191947937012},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5326091051101685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4649772644042969},{"id":"https://openalex.org/C56856351","wikidata":"https://www.wikidata.org/wiki/Q1757218","display_name":"Consistent hashing","level":5,"score":0.4141075313091278},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39919254183769226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3376781642436981},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3275800943374634},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3183146119117737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12404844164848328},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.11837783455848694},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1021314263343811},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3396492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3396492","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":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G1172156117","display_name":null,"funder_award_id":"CEIEC-2022-ZM02-0247","funder_id":"https://openalex.org/F4320323970","funder_display_name":"Ministry of Industry and Information Technology of the People's Republic of China"},{"id":"https://openalex.org/G2563629645","display_name":null,"funder_award_id":"U21B2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6095425281","display_name":null,"funder_award_id":"62276110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8878491478","display_name":null,"funder_award_id":"62172039","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"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2006147162","https://openalex.org/W2007972815","https://openalex.org/W2014812507","https://openalex.org/W2025432722","https://openalex.org/W2038233937","https://openalex.org/W2039208785","https://openalex.org/W2093932377","https://openalex.org/W2117539524","https://openalex.org/W2167451801","https://openalex.org/W2170942078","https://openalex.org/W2526152041","https://openalex.org/W2747853580","https://openalex.org/W2805087257","https://openalex.org/W2909781645","https://openalex.org/W2940532918","https://openalex.org/W2955273087","https://openalex.org/W2962955826","https://openalex.org/W2963634791","https://openalex.org/W2965860096","https://openalex.org/W2981076146","https://openalex.org/W2982065678","https://openalex.org/W3006683596","https://openalex.org/W3011911986","https://openalex.org/W3012050760","https://openalex.org/W3017133364","https://openalex.org/W3028385587","https://openalex.org/W3033276647","https://openalex.org/W3034205626","https://openalex.org/W3040948901","https://openalex.org/W3098766884","https://openalex.org/W3103671489","https://openalex.org/W3156173975","https://openalex.org/W3185834143","https://openalex.org/W3188087362","https://openalex.org/W3196246284","https://openalex.org/W3197585804","https://openalex.org/W3198459119","https://openalex.org/W3205692356","https://openalex.org/W3207267030","https://openalex.org/W3209931718","https://openalex.org/W4210593721","https://openalex.org/W4284687590","https://openalex.org/W4317496691","https://openalex.org/W4321021417","https://openalex.org/W4323022360","https://openalex.org/W4377990550","https://openalex.org/W4379780957","https://openalex.org/W4380433178","https://openalex.org/W4382203427","https://openalex.org/W4386827345","https://openalex.org/W4388189902","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6685527872","https://openalex.org/W6754813029"],"related_works":["https://openalex.org/W2144265691","https://openalex.org/W2076162755","https://openalex.org/W2334522381","https://openalex.org/W2126795708","https://openalex.org/W1605991620","https://openalex.org/W113683524","https://openalex.org/W1582935010","https://openalex.org/W333310998","https://openalex.org/W4387251676","https://openalex.org/W4385261619"],"abstract_inverted_index":{"Due":[0],"to":[1,38,45,75,88,100,106,140,152,175,187,211,223,242,269],"the":[2,14,35,40,55,65,69,76,81,89,109,121,135,142,156,170,177,191,195,206,213,230,249,253,280,293,301,315,322],"low":[3],"storage":[4],"cost":[5],"and":[6,80,113,128,148,163,183,199,219,236],"fast":[7],"retrieval":[8,116,327],"speed,":[9],"multi-modal":[10,31,326],"hashing,":[11],"which":[12,103,247],"maps":[13],"instances":[15,125,160,196,299],"with":[16,124,159,194],"different":[17],"modal":[18],"data-views":[19],"into":[20,279,304],"hash":[21,143,178,214,231],"codes,":[22],"has":[23,61],"earned":[24],"increasing":[25],"research":[26],"attention.":[27],"Most":[28],"existing":[29],"supervised":[30],"hashing":[32],"methods":[33,52],"exploit":[34],"label":[36],"information":[37],"define":[39],"similarities":[41],"between":[42],"instance":[43,70,77,82,90,286],"pairs":[44],"supervise":[46],"their":[47,58,115],"training":[48,291,302],"process.":[49],"However,":[50],"such":[51],"ignore":[53],"that":[54,243,314],"transitivity":[56],"of":[57,145,180,216,233,244,252],"defined":[59],"similarity":[60],"been":[62],"broken":[63],"in":[64,108,120,227,289,300],"multi-label":[66],"scenarios,":[67],"i.e.,":[68],"<inline-formula><tex-math":[71,78,83,91,94,101,126,129,133,146,149,161,164,168,181,184,197,200,204,217,220,234,237,245,287],"notation=\"LaTeX\">$x$</tex-math></inline-formula>":[72,95,127,147,198,221,238,288],"is":[73,85],"similar":[74,87,99,151,186],"notation=\"LaTeX\">$y$</tex-math></inline-formula>,":[79,92,205],"notation=\"LaTeX\">$z$</tex-math></inline-formula>":[84,162,182,201,218,235],"also":[86],"but":[93,131,166,202],"may":[96,239],"be":[97,138,173,209,240],"not":[98],"notation=\"LaTeX\">$z$</tex-math></inline-formula>,":[102,134],"will":[104,137,172,208,296],"lead":[105],"fluctuations":[107],"model":[110,136,171,207],"optimization":[111],"process":[112],"damage":[114,248],"performance.":[117],"For":[118,284],"example,":[119],"first":[122,254],"batch":[123,158,193],"notation=\"LaTeX\">$y$</tex-math></inline-formula>":[130,150,165,185,246],"without":[132,167,203],"optimized":[139,174,210],"make":[141,176,212],"codes":[144,179,215,232],"each":[153,188,224,285],"other;":[154,189],"In":[155,190],"second":[157],"notation=\"LaTeX\">$x$</tex-math></inline-formula>,":[169],"third":[192],"dissimilar":[222,241],"other,":[225],"meanwhile":[226],"this":[228,271],"process,":[229],"optimizing":[250],"results":[251],"two":[255],"batches.":[256],"Therefore,":[257],"we":[258],"propose":[259],"a":[260,275,290],"novel":[261,276],"Similarity":[262],"Transitivity":[263],"Broken-aware":[264],"Multi-modal":[265],"Hashing,":[266],"called":[267],"STBMH,":[268],"solve":[270],"problem":[272],"by":[273],"adding":[274],"regularization":[277,294],"loss":[278,295],"original":[281],"pair-wise":[282],"loss.":[283],"batch,":[292],"take":[297],"all":[298],"set":[303],"account.":[305],"Extensive":[306],"experiments":[307],"on":[308,325],"four":[309],"widely":[310],"used":[311],"datasets":[312],"show":[313],"proposed":[316],"method":[317],"achieves":[318],"better":[319],"performance":[320],"than":[321],"state-of-the-art":[323],"baselines":[324],"task.":[328]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}