{"id":"https://openalex.org/W4361862952","doi":"https://doi.org/10.1109/tnnls.2023.3262952","title":"CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization","display_name":"CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4361862952","doi":"https://doi.org/10.1109/tnnls.2023.3262952","pmid":"https://pubmed.ncbi.nlm.nih.gov/37023168"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3262952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3262952","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5024664086","display_name":"Wenzheng Hu","orcid":"https://orcid.org/0000-0002-1115-8175"},"institutions":[{"id":"https://openalex.org/I4210155967","display_name":"OriginWater (China)","ror":"https://ror.org/04h7gmn81","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155967"]},{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]},{"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":true,"raw_author_name":"Wenzheng Hu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China","Kuaishou Technology Company Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Kuaishou Technology Company Ltd, Beijing, China","institution_ids":["https://openalex.org/I4401726859","https://openalex.org/I4210155967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079044416","display_name":"Zhengping Che","orcid":"https://orcid.org/0000-0001-6818-1125"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengping Che","raw_affiliation_strings":["Midea Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Midea Group, Beijing, China","institution_ids":["https://openalex.org/I4210093653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432426","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0003-4943-6625"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Midea Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Midea Group, Beijing, China","institution_ids":["https://openalex.org/I4210093653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443408","display_name":"Mingyang Li","orcid":"https://orcid.org/0000-0002-0401-4923"},"institutions":[{"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":"Mingyang Li","raw_affiliation_strings":["Institute for Artificial Intelligence (THUAI), the Beijing National Research Center for Information Science and Technology (BNRist), and the Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence (THUAI), the Beijing National Research Center for Information Science and Technology (BNRist), and the Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039176528","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0003-4418-0114"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Midea Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Midea Group, Beijing, China","institution_ids":["https://openalex.org/I4210093653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065063835","display_name":"Changshui Zhang","orcid":"https://orcid.org/0000-0002-8088-367X"},"institutions":[{"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":"Changshui Zhang","raw_affiliation_strings":["Institute for Artificial Intelligence (THUAI), the Beijing National Research Center for Information Science and Technology (BNRist), and the Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence (THUAI), the Beijing National Research Center for Information Science and Technology (BNRist), and the Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436368","display_name":"Jianqiang Wang","orcid":"https://orcid.org/0000-0003-4363-6108"},"institutions":[{"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":"Jianqiang Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5024664086"],"corresponding_institution_ids":["https://openalex.org/I4210155967","https://openalex.org/I4401726859","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":7.1317,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.98034718,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"35","issue":"8","first_page":"11595","last_page":"11607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.761981725692749},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6930117607116699},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6724671721458435},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5504657626152039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46985140442848206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2685907483100891},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1282981038093567},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12065890431404114},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.0657033920288086}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.761981725692749},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6930117607116699},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6724671721458435},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5504657626152039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46985140442848206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2685907483100891},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1282981038093567},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12065890431404114},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0657033920288086},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3262952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3262952","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37023168","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37023168","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3251521753","display_name":null,"funder_award_id":"2020M680563","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8672622026","display_name":null,"funder_award_id":"52131201","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1680189815","https://openalex.org/W1979503164","https://openalex.org/W1997959284","https://openalex.org/W2002427601","https://openalex.org/W2035442052","https://openalex.org/W2108598243","https://openalex.org/W2143996311","https://openalex.org/W2159611475","https://openalex.org/W2194775991","https://openalex.org/W2211092169","https://openalex.org/W2560064228","https://openalex.org/W2604998962","https://openalex.org/W2621717961","https://openalex.org/W2738238836","https://openalex.org/W2789339863","https://openalex.org/W2808168148","https://openalex.org/W2886851211","https://openalex.org/W2909506380","https://openalex.org/W2924515500","https://openalex.org/W2928560789","https://openalex.org/W2945335799","https://openalex.org/W2962851801","https://openalex.org/W2963319203","https://openalex.org/W2964233199","https://openalex.org/W2964266063","https://openalex.org/W2965862774","https://openalex.org/W2984618279","https://openalex.org/W2994887008","https://openalex.org/W2997300524","https://openalex.org/W2997768846","https://openalex.org/W3014641619","https://openalex.org/W3034251466","https://openalex.org/W3034408420","https://openalex.org/W3034513523","https://openalex.org/W3035467254","https://openalex.org/W3097855639","https://openalex.org/W3107407793","https://openalex.org/W3109212549","https://openalex.org/W3110156627","https://openalex.org/W3118608800","https://openalex.org/W3204130496","https://openalex.org/W4207057190","https://openalex.org/W4213060227","https://openalex.org/W4224058293","https://openalex.org/W4225923575","https://openalex.org/W4251076636","https://openalex.org/W4388297464","https://openalex.org/W6639808567","https://openalex.org/W6677580257","https://openalex.org/W6677853180","https://openalex.org/W6680646936","https://openalex.org/W6682132143","https://openalex.org/W6684191040","https://openalex.org/W6689251992","https://openalex.org/W6701087800","https://openalex.org/W6726275242","https://openalex.org/W6755034786","https://openalex.org/W6762610423","https://openalex.org/W6763207085","https://openalex.org/W6767327937","https://openalex.org/W6774743274","https://openalex.org/W6779249178","https://openalex.org/W6783955940","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1],"neural":[2],"networks":[3,191,204],"are":[4,40],"shown":[5],"to":[6,29,54,79,188],"be":[7],"overkill":[8],"with":[9,161,169],"high":[10],"parametric":[11],"and":[12,19,32,45,56,84,108,148,200],"computational":[13,82],"redundancy":[14],"in":[15,205],"many":[16],"application":[17],"scenarios,":[18],"an":[20],"increasing":[21],"number":[22],"of":[23,51,101,113,146,150,181,202],"works":[24],"have":[25],"explored":[26],"model":[27,87],"pruning":[28,38,67,119,176],"obtain":[30],"lightweight":[31],"efficient":[33,190],"networks.":[34,152],"However,":[35],"most":[36],"existing":[37],"approaches":[39],"driven":[41],"by":[42,104],"empirical":[43],"heuristics":[44],"rarely":[46],"consider":[47],"the":[48,81,86,98,110],"joint":[49,99],"impact":[50,100,112],"channels,":[52],"leading":[53],"unguaranteed":[55],"suboptimal":[57],"performance.":[58],"In":[59,178],"this":[60],"article,":[61],"we":[62,140],"propose":[63],"a":[64,93,121,132],"novel":[65],"channel":[66,118,175],"method":[68],"via":[69,131],"c":[70],"lass-aware":[71],"t":[72],"race":[73],"r":[74],"atio":[75],"o":[76],"ptimization":[77],"(CATRO)":[78],"reduce":[80],"burden":[83],"accelerate":[85],"inference.":[88],"Utilizing":[89],"class":[90],"information":[91],"from":[92],"few":[94],"samples,":[95],"CATRO":[96,127,147,157,185],"measures":[97],"multiple":[102],"channels":[103],"feature":[105],"space":[106],"discriminations":[107],"consolidates":[109],"layerwise":[111],"preserved":[114],"channels.":[115],"By":[116],"formulating":[117],"as":[120],"submodular":[122],"set":[123],"function":[124],"maximization":[125],"problem,":[126],"solves":[128],"it":[129],"efficiently":[130],"two-stage":[133],"greedy":[134],"iterative":[135],"optimization":[136],"procedure.":[137],"More":[138],"importantly,":[139],"present":[141],"theoretical":[142],"justifications":[143],"on":[144],"convergence":[145],"performance":[149],"pruned":[151],"Experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"achieves":[158],"higher":[159],"accuracy":[160,171],"similar":[162,170],"computation":[163,167],"cost":[164,168],"or":[165],"lower":[166],"than":[172],"other":[173],"state-of-the-art":[174],"algorithms.":[177],"addition,":[179],"because":[180],"its":[182],"class-aware":[183],"property,":[184],"is":[186],"suitable":[187],"prune":[189],"adaptively":[192],"for":[193],"various":[194],"classification":[195],"subtasks,":[196],"enhancing":[197],"handy":[198],"deployment":[199],"usage":[201],"deep":[203],"real-world":[206],"applications.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}