{"id":"https://openalex.org/W4387968121","doi":"https://doi.org/10.1145/3581783.3612116","title":"Hypergraph-Enhanced Hashing for Unsupervised Cross-Modal Retrieval via Robust Similarity Guidance","display_name":"Hypergraph-Enhanced Hashing for Unsupervised Cross-Modal Retrieval via Robust Similarity Guidance","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968121","doi":"https://doi.org/10.1145/3581783.3612116"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612116","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st 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/A5091207959","display_name":"Fangming Zhong","orcid":"https://orcid.org/0000-0002-2775-8175"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangming Zhong","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2775-8175","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102910551","display_name":"Chenglong Chu","orcid":"https://orcid.org/0009-0004-9401-7627"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Chu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0004-9401-7627","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101706276","display_name":"Zijie Zhu","orcid":"https://orcid.org/0009-0003-3955-2945"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijie Zhu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0003-3955-2945","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053156190","display_name":"Zhikui Chen","orcid":"https://orcid.org/0000-0002-9209-2189"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikui Chen","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-9209-2189","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":1.8889,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88240351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3517","last_page":"3527"},"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":0.9988999962806702,"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":0.9908000230789185,"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":0.7338770627975464},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7325555682182312},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.619557797908783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5229597687721252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48792192339897156},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4802853763103485},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4767252504825592},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4420079290866852},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.44138258695602417},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4374500811100006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4297254681587219},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4232051968574524},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.33464425802230835},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.300977885723114},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21860697865486145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1498563587665558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338770627975464},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7325555682182312},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.619557797908783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5229597687721252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48792192339897156},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4802853763103485},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4767252504825592},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4420079290866852},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.44138258695602417},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4374500811100006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4297254681587219},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4232051968574524},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.33464425802230835},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.300977885723114},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21860697865486145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1498563587665558},{"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612116","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G3025076598","display_name":null,"funder_award_id":"62076047","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4237573054","display_name":null,"funder_award_id":"62006035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5790316594","display_name":null,"funder_award_id":"DUT22RC(3)011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6004252594","display_name":null,"funder_award_id":"62006035, 62076047","funder_id":"https://openalex.org/F4320334062","funder_display_name":"National Natural Science Foundation of China-Liaoning Joint Fund"},{"id":"https://openalex.org/G6292418709","display_name":null,"funder_award_id":"62076047","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/F4320334062","display_name":"National Natural Science Foundation of China-Liaoning Joint Fund","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2007972815","https://openalex.org/W2049993534","https://openalex.org/W2425857666","https://openalex.org/W2526152041","https://openalex.org/W2602856279","https://openalex.org/W2808243243","https://openalex.org/W2904169782","https://openalex.org/W2905040928","https://openalex.org/W3030772386","https://openalex.org/W3035747010","https://openalex.org/W3085990079","https://openalex.org/W3122091215","https://openalex.org/W3135808071","https://openalex.org/W4282937884","https://openalex.org/W4283379644","https://openalex.org/W4283693981","https://openalex.org/W4301409532","https://openalex.org/W4309441889","https://openalex.org/W4310004262","https://openalex.org/W4312055654","https://openalex.org/W4312477797","https://openalex.org/W4321609154","https://openalex.org/W4323022360"],"related_works":["https://openalex.org/W1532260067","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2123605750","https://openalex.org/W2912814903","https://openalex.org/W2088740331","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W2082479932","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Unsupervised":[0],"cross-modal":[1,52,104,176],"hashing":[2,72],"retrieval":[3,53,105],"across":[4],"image":[5],"and":[6,150,167,170],"text":[7],"modality":[8],"is":[9,43,162],"a":[10,59,98,129,138],"challenging":[11],"task":[12],"because":[13],"of":[14,17,66,84],"the":[15,21,44,70,80,92,118,165],"suboptimality":[16],"similarity":[18,23,41,131],"guidance,":[19],"i.e.,":[20],"joint":[22],"matrix":[24,42,132],"constructed":[25],"by":[26,147],"existing":[27],"methods":[28,54],"does":[29],"not":[30],"possess":[31],"clear":[32],"enough":[33],"guiding":[34],"significance.":[35],"How":[36],"to":[37,46,90,116],"construct":[38],"more":[39],"robust":[40,130],"key":[45],"solve":[47],"this":[48,95,126],"problem.":[49],"The":[50],"unsupervised":[51,103,175],"based":[55,73],"on":[56,74,164],"graph":[57,71,77],"have":[58],"good":[60],"performance":[61,173],"in":[62,111,123],"mining":[63],"semantic":[64,82],"information":[65,83,121],"input":[67,85,154],"samples,":[68],"but":[69],"traditional":[75],"affinity":[76],"cannot":[78],"capture":[79],"high-order":[81,158],"samples":[86],"effectively.":[87],"In":[88],"order":[89],"overcome":[91],"aforementioned":[93],"limitations,":[94],"paper":[96,127],"presents":[97],"novel":[99,139],"hypergraph-based":[100],"approach":[101,161],"for":[102,153,174],"that":[106,143],"differs":[107],"from":[108],"previous":[109],"works":[110],"two":[112],"significant":[113],"ways.":[114],"Firstly,":[115],"address":[117],"ubiquitous":[119],"redundant":[120],"present":[122],"current":[124],"methods,":[125],"introduces":[128],"constructing":[133],"method.":[134],"Secondly,":[135],"we":[136],"propose":[137],"hypergraph":[140,148],"enhanced":[141],"module":[142],"produces":[144],"embedding":[145],"vectors":[146],"convolution":[149],"attention":[151],"mechanism":[152],"data,":[155],"capturing":[156],"important":[157],"semantics.":[159],"Our":[160],"evaluated":[163],"NUS-WIDE":[166],"MIRFlickr":[168],"datasets,":[169],"yields":[171],"state-of-the-art":[172],"retrieval.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
