{"id":"https://openalex.org/W4406457584","doi":"https://doi.org/10.1109/access.2025.3530424","title":"AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks","display_name":"AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406457584","doi":"https://doi.org/10.1109/access.2025.3530424"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3530424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530424","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3530424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103587609","display_name":"Fu Chen","orcid":"https://orcid.org/0009-0005-4646-2491"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Chen","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-4646-2491","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058259220","display_name":"Yepeng Guan","orcid":"https://orcid.org/0000-0003-1854-1430"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yepeng Guan","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1854-1430","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.188,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93025672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"14379","last_page":"14391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7178000211715698,"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/T10320","display_name":"Neural Networks and Applications","score":0.7178000211715698,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8069597482681274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672725915908813},{"id":"https://openalex.org/keywords/agile-software-development","display_name":"Agile software development","score":0.6516876220703125},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.49061718583106995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.411643385887146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3778132498264313},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.15472868084907532}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8069597482681274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672725915908813},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.6516876220703125},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.49061718583106995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.411643385887146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3778132498264313},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.15472868084907532},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3530424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530424","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e1ae8d899475438b92e838b393e98490","is_oa":true,"landing_page_url":"https://doaj.org/article/e1ae8d899475438b92e838b393e98490","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 14379-14391 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3530424","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530424","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4930346226","display_name":null,"funder_award_id":"2020YFC1523004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2001610032","https://openalex.org/W2117539524","https://openalex.org/W2138011018","https://openalex.org/W2752782242","https://openalex.org/W2883780447","https://openalex.org/W2962847207","https://openalex.org/W2963163009","https://openalex.org/W3005319399","https://openalex.org/W3012740297","https://openalex.org/W3020930839","https://openalex.org/W3023212902","https://openalex.org/W3034552520","https://openalex.org/W3035414587","https://openalex.org/W3046711798","https://openalex.org/W3110369781","https://openalex.org/W3118707936","https://openalex.org/W3172276551","https://openalex.org/W3188404242","https://openalex.org/W3190492058","https://openalex.org/W3204647170","https://openalex.org/W4206211125","https://openalex.org/W4221061915","https://openalex.org/W4224290632","https://openalex.org/W4250482878","https://openalex.org/W4283791586","https://openalex.org/W4293010046","https://openalex.org/W4320039238","https://openalex.org/W4364323147","https://openalex.org/W4385245566","https://openalex.org/W4387587611","https://openalex.org/W4389082198","https://openalex.org/W4398162650","https://openalex.org/W4399208765","https://openalex.org/W4402173410","https://openalex.org/W6638319203","https://openalex.org/W6726497184","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2656997359","https://openalex.org/W4240110559","https://openalex.org/W2094372386","https://openalex.org/W1973385172","https://openalex.org/W4319430762","https://openalex.org/W4391621807","https://openalex.org/W2294820933","https://openalex.org/W2119783256","https://openalex.org/W2804154309","https://openalex.org/W2083510688"],"abstract_inverted_index":{"Dynamic":[0,10],"activation":[1,11,49,98],"functions":[2,12],"usually":[3],"gain":[4],"remarkable":[5,154],"improvements":[6,25],"for":[7,37,100,118],"neural":[8,139],"networks.":[9,40],"depending":[13],"on":[14,91,133,179],"input":[15,79],"features":[16],"show":[17],"better":[18],"performance":[19,155],"than":[20],"the":[21,24,68,75,104,143],"input-independents.":[22],"But":[23],"are":[26,88],"achieved":[27],"with":[28],"extra":[29],"memory":[30],"and":[31,84,136,145],"computational":[32],"cost,":[33],"which":[34],"is":[35,51,65,109,122],"non-negligible":[36],"lightweight":[38,46,69,137],"convolutional":[39,138],"To":[41],"address":[42],"this":[43],"issue,":[44],"a":[45,114,173],"input-dependent":[47],"dynamic":[48],"function":[50,99],"proposed,":[52],"namely,":[53],"Agile":[54],"Rectified":[55],"Linear":[56],"Unit":[57],"(AReLU).":[58],"And":[59],"Parallel":[60],"Local":[61],"Cross-Feature":[62],"Interaction":[63],"(PLCFI)":[64],"proposed":[66,123],"as":[67],"feature":[70],"extractor":[71],"of":[72,78,97,107,147,166],"AReLU.":[73,148],"Considering":[74],"multi-channel":[76],"characteristic":[77],"features,":[80],"Channel-Exclusive":[81],"AReLU":[82,86],"(CE-AReLU)":[83],"Channel-Shared":[85],"(CS-AReLU)":[87],"designed":[89],"based":[90],"PLCFI.":[92],"CE-AReLU":[93,152],"learns":[94],"exclusive":[95],"structure":[96,106],"each":[101],"channel,":[102],"while":[103],"functional":[105],"CS-AReLU":[108,162],"shared":[110],"by":[111],"channels.":[112],"Furthermore,":[113],"specific":[115],"initialization":[116],"method":[117],"neurons":[119],"in":[120,156,172],"PLCFI":[121],"to":[124],"facilitate":[125],"model":[126],"convergence,":[127],"called":[128],"imitative":[129],"initialization.":[130],"Extensive":[131],"experiments":[132],"different":[134,170],"datasets":[135],"network":[140],"architectures":[141],"demonstrate":[142],"superiority":[144],"generality":[146],"It":[149],"shows":[150,163],"that":[151],"gains":[153],"common":[157],"visual":[158],"classification":[159,181],"benchmarks.":[160],"Moreover,":[161],"its":[164],"capacity":[165],"capturing":[167],"dependencies":[168],"among":[169],"samples":[171],"batch,":[174],"achieving":[175],"higher":[176],"recognition":[177],"accuracy":[178],"fine-grained":[180],"task.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}