{"id":"https://openalex.org/W4392904028","doi":"https://doi.org/10.1109/icassp48485.2024.10446099","title":"Dataset Distillation with Channel Efficient Process","display_name":"Dataset Distillation with Channel Efficient Process","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904028","doi":"https://doi.org/10.1109/icassp48485.2024.10446099"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101821261","display_name":"Wenbo Zhou","orcid":"https://orcid.org/0000-0002-4703-4641"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":true,"raw_author_name":"Wenbo Zhou","raw_affiliation_strings":["Xiamen University,School of Informatics","Institute of Artificial Intelligence, Xiamen University","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Xiamen University","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826293","display_name":"Guoqing Zheng","orcid":"https://orcid.org/0000-0003-0309-050X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Guoqing Zheng","raw_affiliation_strings":["Xiamen University,School of Informatics","Institute of Artificial Intelligence, Xiamen University","School of Informatics, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Xiamen University","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052820597","display_name":"Xinghao Ding","orcid":"https://orcid.org/0000-0003-2288-5287"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Xinghao Ding","raw_affiliation_strings":["Xiamen University,School of Informatics","School of Informatics, Xiamen University","Institute of Artificial Intelligence, Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Informatics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Xiamen University","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I4210105595"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101821261"],"corresponding_institution_ids":["https://openalex.org/I191208505","https://openalex.org/I4210105595"],"apc_list":null,"apc_paid":null,"fwci":0.2437,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45917608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5505","last_page":"5509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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":0.7471569776535034},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6517904996871948},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.642698347568512},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5884053111076355},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5861663818359375},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5589900612831116},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5488494038581848},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4891386330127716},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4399494230747223},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4398495554924011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41765648126602173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40518853068351746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36948996782302856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.209474116563797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7471569776535034},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6517904996871948},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.642698347568512},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5884053111076355},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5861663818359375},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5589900612831116},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5488494038581848},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4891386330127716},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4399494230747223},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4398495554924011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41765648126602173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40518853068351746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36948996782302856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.209474116563797},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5400000214576721,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1523477432","display_name":null,"funder_award_id":"821720","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4629629349","display_name":null,"funder_award_id":"82272071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4851854195","display_name":null,"funder_award_id":"62271430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5115423372","display_name":null,"funder_award_id":"61971369","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5339618318","display_name":null,"funder_award_id":"82172033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6130862679","display_name":null,"funder_award_id":"U19B2031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G652740980","display_name":null,"funder_award_id":"20720230104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7418738665","display_name":null,"funder_award_id":"52105126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G940605226","display_name":null,"funder_award_id":"2272071","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/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":34,"referenced_works":["https://openalex.org/W3464401","https://openalex.org/W1558089843","https://openalex.org/W1821462560","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2553303224","https://openalex.org/W2774918944","https://openalex.org/W2884282566","https://openalex.org/W2949736877","https://openalex.org/W2951013084","https://openalex.org/W3034486793","https://openalex.org/W3118608800","https://openalex.org/W3198953397","https://openalex.org/W4287065492","https://openalex.org/W4297779241","https://openalex.org/W4297815988","https://openalex.org/W4312252393","https://openalex.org/W4312412605","https://openalex.org/W4319300193","https://openalex.org/W4387415233","https://openalex.org/W6600137235","https://openalex.org/W6633217203","https://openalex.org/W6638523607","https://openalex.org/W6729956949","https://openalex.org/W6747231328","https://openalex.org/W6756054015","https://openalex.org/W6757248479","https://openalex.org/W6779630500","https://openalex.org/W6779744012","https://openalex.org/W6785639913","https://openalex.org/W6790536367","https://openalex.org/W6799502010","https://openalex.org/W6839101817","https://openalex.org/W6849290410"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W2383111961","https://openalex.org/W4390419160","https://openalex.org/W2365952365","https://openalex.org/W1601203902","https://openalex.org/W2075798043","https://openalex.org/W2352448290","https://openalex.org/W2102464536"],"abstract_inverted_index":{"The":[0],"success":[1],"of":[2,12,99],"deep":[3],"learning":[4,37],"is":[5,121],"primarily":[6],"attributed":[7],"to":[8,28,123],"the":[9,30,47,73,80,84,97,104,114],"vast":[10],"amount":[11],"data":[13,35,62,101,106],"used":[14],"for":[15],"training,":[16],"which":[17],"comes":[18],"with":[19,63,144],"massive":[20,34],"computation":[21],"costs":[22],"and":[23,78,102,128],"storage.":[24],"Dataset":[25],"distillation(DD)":[26],"aims":[27],"reduce":[29],"dependency":[31],"on":[32,72,83,139],"such":[33],"by":[36],"a":[38,54,64,91,108,117],"small":[39],"synthetic":[40,61,74,105],"dataset":[41],"that":[42,58,95,120,133],"preserves":[43],"most":[44],"information":[45],"from":[46],"original":[48],"dataset.":[49],"Recent":[50],"work":[51],"has":[52],"proposed":[53],"new":[55],"condensation":[56],"framework":[57],"generates":[59],"multiple":[60],"limited":[65],"storage":[66],"budget.":[67],"However,":[68],"they":[69],"only":[70],"focus":[71],"data\u2019s":[75],"spatial":[76],"regularity":[77],"ignore":[79],"compressible":[81],"space":[82],"channel.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89],"propose":[90],"novel":[92],"channel-efficient":[93],"process":[94,115],"augments":[96],"number":[98],"condensed":[100],"trains":[103],"in":[107],"channel":[109],"information-intensive":[110],"mode.":[111],"We":[112],"design":[113],"as":[116],"plugand-play":[118],"strategy":[119],"portable":[122],"any":[124],"existing":[125],"DD":[126,146],"baseline,":[127],"our":[129],"experiment":[130],"results":[131],"demonstrate":[132],"it":[134],"can":[135],"yield":[136],"significant":[137],"improvement":[138],"downstream":[140],"classification":[141],"tasks":[142],"compared":[143],"previous":[145],"methods.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}