{"id":"https://openalex.org/W4285505364","doi":"https://doi.org/10.1109/jiot.2022.3190873","title":"QSFM: Model Pruning Based on Quantified Similarity Between Feature Maps for AI on Edge","display_name":"QSFM: Model Pruning Based on Quantified Similarity Between Feature Maps for AI on Edge","publication_year":2022,"publication_date":"2022-07-14","ids":{"openalex":"https://openalex.org/W4285505364","doi":"https://doi.org/10.1109/jiot.2022.3190873"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3190873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3190873","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5038443450","display_name":"Zidu Wang","orcid":"https://orcid.org/0000-0002-9463-2986"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zidu Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9463-2986","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089553750","display_name":"Xuexin Liu","orcid":"https://orcid.org/0000-0003-2997-5680"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexin Liu","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2997-5680","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015416321","display_name":"Long Huang","orcid":"https://orcid.org/0000-0001-5877-7136"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Huang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5877-7136","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015551771","display_name":"Yunqing Chen","orcid":"https://orcid.org/0000-0002-3504-8472"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunqing Chen","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3504-8472","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324346","display_name":"Yufei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Zhang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087445936","display_name":"Zhikang Lin","orcid":"https://orcid.org/0000-0001-8867-172X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikang Lin","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100431213","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-2284-9780"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2284-9780","affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5038443450"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879","https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":1.8367,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86565092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":"23","first_page":"24506","last_page":"24515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9968000054359436,"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":0.7836748361587524},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7557042241096497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6627431511878967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6203566193580627},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6114771366119385},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5823463201522827},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5265657901763916},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4389587640762329},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36181455850601196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11735203862190247},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08444568514823914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836748361587524},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7557042241096497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6627431511878967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6203566193580627},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6114771366119385},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5823463201522827},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5265657901763916},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4389587640762329},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36181455850601196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11735203862190247},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08444568514823914},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3190873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3190873","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2185493407","display_name":null,"funder_award_id":"62173158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6499944780","display_name":null,"funder_award_id":"61379134","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2382313035","https://openalex.org/W2416799949","https://openalex.org/W2560017826","https://openalex.org/W2741232386","https://openalex.org/W2785457004","https://openalex.org/W2805003733","https://openalex.org/W2886851211","https://openalex.org/W2894581376","https://openalex.org/W2894740066","https://openalex.org/W2911909486","https://openalex.org/W2924515500","https://openalex.org/W2949941638","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963145730","https://openalex.org/W2963163009","https://openalex.org/W2963363373","https://openalex.org/W2963382930","https://openalex.org/W2963446712","https://openalex.org/W2963576971","https://openalex.org/W2963626527","https://openalex.org/W2964266063","https://openalex.org/W2971544482","https://openalex.org/W3034251466","https://openalex.org/W3034513523","https://openalex.org/W3034971973","https://openalex.org/W3035414587","https://openalex.org/W3097692969","https://openalex.org/W3104300620","https://openalex.org/W3105886168","https://openalex.org/W3118280765","https://openalex.org/W3118608800","https://openalex.org/W3126796721","https://openalex.org/W3172740058","https://openalex.org/W3203528222","https://openalex.org/W4287587411","https://openalex.org/W4302028573","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6726275242","https://openalex.org/W6730047919","https://openalex.org/W6742030086","https://openalex.org/W6751979845","https://openalex.org/W6755166560","https://openalex.org/W6758495120","https://openalex.org/W6773423997","https://openalex.org/W6787972765","https://openalex.org/W6788597507","https://openalex.org/W6802595124"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W4229439743"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,128],"networks":[2,129],"(CNNs)":[3],"have":[4],"been":[5,46],"applied":[6],"in":[7,34,82,126,163,189],"numerous":[8],"Internet":[9],"of":[10,23,66,137,161,171,187],"Things":[11],"(IoT)":[12],"devices":[13,114],"for":[14],"multifarious":[15],"downstream":[16],"tasks.":[17],"However,":[18],"with":[19,36,131,157,183],"the":[20,64,98,118,123,127,164,168,190],"increasing":[21],"amount":[22],"data":[24,106],"on":[25,105,147],"edge":[26,113,172],"devices,":[27,173],"CNNs":[28,62],"can":[29,121,144,175],"hardly":[30],"complete":[31],"some":[32],"tasks":[33],"time":[35],"limited":[37],"computing":[38],"and":[39,54,92,110,112,115,134,152],"storage":[40],"resources.":[41],"Recently,":[42],"filter":[43,99],"pruning":[44,100],"has":[45],"regarded":[47],"as":[48],"an":[49],"effective":[50],"technique":[51],"to":[52,78,96],"compress":[53,145],"accelerate":[55,176],"CNNs,":[56],"but":[57],"existing":[58],"methods":[59],"rarely":[60],"prune":[61],"from":[63],"perspective":[65],"compressing":[67],"high-dimensional":[68],"tensors.":[69],"In":[70],"this":[71,94],"article,":[72],"we":[73],"propose":[74],"a":[75,159,185],"novel":[76],"theory":[77,95],"find":[79,122],"redundant":[80,124],"information":[81,125],"3-D":[83],"tensors,":[84],"namely,":[85],"quantified":[86],"similarity":[87],"between":[88],"feature":[89],"maps":[90],"(QSFM),":[91],"utilize":[93],"guide":[97],"procedure.":[101],"We":[102],"perform":[103],"QSFM":[104,143,174],"sets":[107],"(CIFAR-10,":[108],"CIFAR-100,":[109],"ILSVRC-12)":[111],"demonstrate":[116],"that":[117],"proposed":[119],"method":[120],"effectively":[130],"comparable":[132],"compression":[133],"tolerable":[135],"drop":[136],"accuracy.":[138,166,193],"Without":[139],"any":[140],"fine-tuning":[141],"operation,":[142],"ResNet-56":[146],"CIFAR-10":[148],"significantly":[149],"(48.7%":[150],"FLOPs":[151],"57.9%":[153],"parameters":[154],"are":[155],"reduced)":[156],"only":[158,184],"loss":[160,186],"0.54%":[162],"top-1":[165,192],"For":[167],"practical":[169],"application":[170],"MobileNet-V2":[177],"inference":[178],"speed":[179],"by":[180],"1.53":[181],"times":[182],"1.23%":[188],"ILSVRC-12":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-07-15T00:00:00"}