{"id":"https://openalex.org/W4408355070","doi":"https://doi.org/10.1109/icassp49660.2025.10887670","title":"MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search","display_name":"MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355070","doi":"https://doi.org/10.1109/icassp49660.2025.10887670"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005907853","display_name":"Binyan Zhang","orcid":"https://orcid.org/0000-0001-6307-9623"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyan Zhang","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051490998","display_name":"Ao Ren","orcid":"https://orcid.org/0000-0002-2322-8038"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Ren","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037995824","display_name":"Zihao Zhang","orcid":"https://orcid.org/0000-0001-5415-912X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Zhang","raw_affiliation_strings":["Chongqing University,School of Big Data Software & Engineering,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,School of Big Data Software & Engineering,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080366193","display_name":"Moming Duan","orcid":"https://orcid.org/0000-0001-5402-6634"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Moming Duan","raw_affiliation_strings":["National University of Singapore,Institute of Data Science,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Institute of Data Science,Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675843","display_name":"Duo Liu","orcid":"https://orcid.org/0000-0002-3040-2065"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duo Liu","raw_affiliation_strings":["Chongqing University,School of Big Data Software & Engineering,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,School of Big Data Software & Engineering,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066818952","display_name":"Yujuan Tan","orcid":"https://orcid.org/0000-0002-9055-5389"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujuan Tan","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101516109","display_name":"Kan Zhong","orcid":"https://orcid.org/0000-0001-5278-0406"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Zhong","raw_affiliation_strings":["Chongqing University,School of Big Data Software & Engineering,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,School of Big Data Software & Engineering,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.98089998960495,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9657999873161316,"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/pruning","display_name":"Pruning","score":0.8048090934753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717171907424927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6093886494636536},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5510681867599487},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5323857069015503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3693999648094177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32426321506500244},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.04986301064491272}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8048090934753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717171907424927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6093886494636536},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5510681867599487},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5323857069015503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3693999648094177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32426321506500244},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.04986301064491272},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2151194828","https://openalex.org/W2265228180","https://openalex.org/W2489370933","https://openalex.org/W2619383789","https://openalex.org/W2744979708","https://openalex.org/W2767484504","https://openalex.org/W2798802604","https://openalex.org/W2860338957","https://openalex.org/W2885879767","https://openalex.org/W2891727123","https://openalex.org/W2946165673","https://openalex.org/W2946794439","https://openalex.org/W2951937667","https://openalex.org/W2962818002","https://openalex.org/W2972324944","https://openalex.org/W3035565303","https://openalex.org/W3088144810","https://openalex.org/W3096533519","https://openalex.org/W3158375352","https://openalex.org/W3174517569","https://openalex.org/W3202742610","https://openalex.org/W3204801262","https://openalex.org/W4200630931","https://openalex.org/W4205727320","https://openalex.org/W4206634569","https://openalex.org/W4223555601","https://openalex.org/W4312772337","https://openalex.org/W4385569851","https://openalex.org/W4386763942","https://openalex.org/W6762945437","https://openalex.org/W6763381322","https://openalex.org/W6783948878","https://openalex.org/W6789753369","https://openalex.org/W6803161323","https://openalex.org/W6849242501"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2801635251"],"abstract_inverted_index":{"With":[0],"the":[1,20,41,86,131,141,145,174,184],"rapid":[2],"development":[3],"of":[4,23,43,73,89,186],"social":[5],"media,":[6],"sentiment":[7],"analysis":[8],"from":[9],"multimodal":[10],"posts":[11],"has":[12,35],"garnered":[13],"significant":[14],"attention":[15],"in":[16,93,164],"recent":[17],"years.":[18],"However,":[19],"substantial":[21],"size":[22,42,75],"these":[24,99],"models":[25,61],"impedes":[26],"their":[27],"deployment":[28],"on":[29,140,179],"resource-constrained":[30],"embedded":[31],"devices.":[32],"Although":[33],"pruning":[34,95,106,119,155],"been":[36],"extensively":[37],"studied":[38],"to":[39,84,129,149],"reduce":[40],"unimodal":[44],"models,":[45,64,91],"specific":[46],"challenges":[47],"remain":[48],"for":[49,113],"Multimodal":[50],"Sentiment":[51],"Analysis":[52],"(MSA)":[53],"models.":[54,115],"First,":[55],"existing":[56,190],"techniques":[57],"prune":[58],"fixed":[59],"original":[60,142],"into":[62],"sparse":[63],"while":[65],"our":[66,187],"findings":[67],"indicate":[68],"that":[69,153],"different":[70],"model":[71,127,171],"architectures":[72],"identical":[74],"yield":[76],"varying":[77],"performance":[78],"outcomes.":[79],"Second,":[80],"prior":[81],"studies":[82],"fail":[83],"explore":[85],"unique":[87],"characteristics":[88,128,172],"MSA":[90,114,126,170],"resulting":[92],"suboptimal":[94],"performance.":[96],"To":[97],"address":[98],"challenges,":[100],"we":[101,117,160],"propose":[102],"MPNAS,":[103],"a":[104,121,165],"unified":[105],"framework":[107],"via":[108],"Neural":[109],"Architecture":[110],"Search":[111],"(NAS)":[112],"Specifically,":[116],"formulate":[118],"as":[120],"NAS":[122,139,167],"problem":[123],"and":[124,157],"analyze":[125],"guide":[130,173],"subnet":[132],"search.":[133],"We":[134],"conduct":[135],"an":[136],"initial":[137],"coarse-grained":[138,162],"model,":[143],"expanding":[144],"search":[146,175],"space":[147],"slightly":[148],"identify":[150],"suitable":[151],"subnets":[152,163],"enhance":[154],"rates":[156],"accuracy.":[158],"Subsequently,":[159],"refine":[161],"fine-grained":[166],"stage,":[168],"where":[169],"process.":[176],"Extensive":[177],"experiments":[178],"three":[180],"representative":[181],"datasets":[182],"demonstrate":[183],"superiority":[185],"approach":[188],"over":[189],"methods.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}