{"id":"https://openalex.org/W4412565292","doi":"https://doi.org/10.1145/3749844","title":"Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model","display_name":"Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model","publication_year":2025,"publication_date":"2025-07-22","ids":{"openalex":"https://openalex.org/W4412565292","doi":"https://doi.org/10.1145/3749844"},"language":"en","primary_location":{"id":"doi:10.1145/3749844","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3749844","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5100363622","display_name":"Zhichao Zhang","orcid":"https://orcid.org/0000-0003-1466-6383"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhichao Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1466-6383","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044700284","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0001-8162-1949"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8162-1949","affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357318","display_name":"Xinyue Li","orcid":"https://orcid.org/0000-0001-7362-0532"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xinyue","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7362-0532","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997384","display_name":"Jun Jia","orcid":"https://orcid.org/0000-0002-5424-4284"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Jia","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5424-4284","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5693-0416","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101797192","display_name":"Zicheng Zhang","orcid":"https://orcid.org/0000-0002-7247-7938"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicheng Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7247-7938","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002451902","display_name":"Chunyi Li","orcid":"https://orcid.org/0009-0007-0634-1710"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyi Li","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-0634-1710","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603244","display_name":"Zijian Chen","orcid":"https://orcid.org/0000-0002-8502-4110"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8502-4110","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064619027","display_name":"Puyi Wang","orcid":"https://orcid.org/0009-0007-2943-4610"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Puyi","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0009-0007-2943-4610","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085976829","display_name":"Fengyu Sun","orcid":"https://orcid.org/0009-0007-8258-8109"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Fengyu","raw_affiliation_strings":["Huawei Technologies Co Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0007-8258-8109","affiliations":[{"raw_affiliation_string":"Huawei Technologies Co Ltd., Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012650575","display_name":"Shangling Jui","orcid":"https://orcid.org/0000-0002-1047-4264"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jui Shangling","raw_affiliation_strings":["Huawei Technologies Co Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1047-4264","affiliations":[{"raw_affiliation_string":"Huawei Technologies Co Ltd., Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8165-9322","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5100363622"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":7.8039,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97514881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"21","issue":"9","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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/T11019","display_name":"Image Enhancement Techniques","score":0.995199978351593,"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":0.9059203863143921},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8866012096405029},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46792128682136536},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.437541127204895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36042991280555725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3494371473789215},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32997193932533264},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.17945778369903564},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.09063607454299927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9059203863143921},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8866012096405029},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46792128682136536},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.437541127204895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36042991280555725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3494371473789215},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32997193932533264},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.17945778369903564},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.09063607454299927},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3749844","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3749844","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6360183275","display_name":null,"funder_award_id":"22DZ2229005","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G6493639599","display_name":null,"funder_award_id":"62301316, 62271312, and 62132006","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/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1861492603","https://openalex.org/W1982471090","https://openalex.org/W2152059677","https://openalex.org/W2489487449","https://openalex.org/W2611434713","https://openalex.org/W2618799552","https://openalex.org/W2950154603","https://openalex.org/W2963524571","https://openalex.org/W2965503873","https://openalex.org/W2965644659","https://openalex.org/W2990503944","https://openalex.org/W3002992380","https://openalex.org/W3030380536","https://openalex.org/W3030701471","https://openalex.org/W3035595647","https://openalex.org/W3091249416","https://openalex.org/W3099047215","https://openalex.org/W3135479537","https://openalex.org/W3138516171","https://openalex.org/W3174722860","https://openalex.org/W3204588463","https://openalex.org/W4214745154","https://openalex.org/W4225292576","https://openalex.org/W4236965008","https://openalex.org/W4286588185","https://openalex.org/W4294541506","https://openalex.org/W4312818079","https://openalex.org/W4367146870","https://openalex.org/W4372330519","https://openalex.org/W4382462760","https://openalex.org/W4385469325","https://openalex.org/W4386057769","https://openalex.org/W4386065764","https://openalex.org/W4386071621","https://openalex.org/W4387010079","https://openalex.org/W4390872556","https://openalex.org/W4390873135","https://openalex.org/W4390874002","https://openalex.org/W4390874113","https://openalex.org/W4390874580","https://openalex.org/W4393078930","https://openalex.org/W4394841775","https://openalex.org/W4399554055","https://openalex.org/W4402904322","https://openalex.org/W4402916469","https://openalex.org/W4403792529","https://openalex.org/W6600704668","https://openalex.org/W6601760687"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W1963988314","https://openalex.org/W1924500548"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"AI-driven":[3],"video":[4,45,121,160],"generation":[5,46,122,161],"has":[6],"gained":[7],"significant":[8,57],"attention":[9],"due":[10],"to":[11,33,218,253],"great":[12],"advancements":[13],"in":[14,84,195],"visual":[15,232],"and":[16,43,71,90,151,233,300],"language":[17],"generative":[18],"techniques.":[19,162],"Consequently,":[20],"there":[21],"is":[22],"a":[23,56,169,193,247],"growing":[24],"need":[25],"for":[26,158,171,281],"accurate":[27,278],"Video":[28],"Quality":[29],"Assessment":[30,110,214],"(VQA)":[31],"metrics":[32,176,186],"evaluate":[34,136,220],"the":[35,50,81,96,101,137,164,178,205,221,231,239,265,291,297,301],"perceptual":[36,138],"quality":[37,51,92,139,174,223,271,279],"of":[38,52,114,140,224,236,242,293],"AI-generated":[39],"content":[40],"(AIGC)":[41],"videos":[42,54,61,117,142,237],"optimize":[44],"models.":[47],"However,":[48],"assessing":[49],"AIGC":[53,116,141,225,254,282],"remains":[55],"challenge":[58],"because":[59],"these":[60],"often":[62],"exhibit":[63],"highly":[64],"complex":[65],"distortions,":[66],"such":[67],"as":[68,276],"unnatural":[69],"actions":[70],"irrational":[72],"objects.":[73],"To":[74,199],"address":[75],"this":[76,85,190,201],"challenge,":[77],"we":[78,99,135,167,203],"systematically":[79],"investigate":[80],"AIGC-VQA":[82,294],"problem":[83],"article,":[86],"considering":[87],"both":[88],"subjective":[89,97,132],"objective":[91,165],"assessment":[93,175],"perspectives.":[94],"For":[95,163],"perspective,":[98,166],"construct":[100],"L":[102],"arge-scale":[103],"G":[104,208],"enerated":[105,209],"V":[106,210],"ideo":[107,211],"Q":[108,212],"uality":[109,213],"(LGVQ)":[111],"dataset,":[112,191],"consisting":[113],"\\(2,\\!808\\)":[115],"generated":[118],"by":[119],"six":[120],"models":[123],"using":[124],"468":[125],"carefully":[126],"curated":[127],"text":[128],"prompts.":[129],"Unlike":[130],"previous":[131],"VQA":[133],"experiments,":[134],"from":[143],"three":[144,270],"critical":[145],"dimensions:":[146],"spatial":[147],"quality,":[148,150],"temporal":[149],"text-video":[152],"alignment,":[153],"which":[154],"hold":[155],"utmost":[156],"importance":[157],"current":[159,185],"establish":[168],"benchmark":[170,288],"evaluating":[172],"existing":[173],"on":[177,189,264,307],"LGVQ":[179,266,298],"dataset.":[180],"Our":[181],"findings":[182],"show":[183],"that":[184,259,286],"perform":[187],"poorly":[188],"highlighting":[192],"gap":[194],"effective":[196],"evaluation":[197],"tools.":[198],"bridge":[200],"gap,":[202],"propose":[204],"U":[206],"nify":[207],"(UGVQ)":[215],"model,":[216],"designed":[217],"accurately":[219],"multi-dimensional":[222],"videos.":[226,255,283],"The":[227],"UGVQ":[228,260,302],"model":[229,303],"integrates":[230],"motion":[234],"features":[235,241],"with":[238],"textual":[240],"their":[243],"corresponding":[244],"prompts,":[245],"forming":[246],"unified":[248],"quality-aware":[249],"feature":[250],"representation":[251],"tailored":[252],"Experimental":[256],"results":[257],"demonstrate":[258],"achieves":[261],"state-of-the-art":[262],"performance":[263],"dataset":[267,299],"across":[268],"all":[269],"dimensions,":[272],"validating":[273],"its":[274],"effectiveness":[275],"an":[277],"metric":[280],"We":[284],"hope":[285],"our":[287],"can":[289],"promote":[290],"development":[292],"studies.":[295],"Both":[296],"are":[304],"publicly":[305],"available":[306],"https://github.com/zczhang-sjtu/UGVQ.git":[308],".":[309]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}