{"id":"https://openalex.org/W4408353519","doi":"https://doi.org/10.1109/icassp49660.2025.10888955","title":"Global Static Pruning via Adaptive Sample Complexity Awareness","display_name":"Global Static Pruning via Adaptive Sample Complexity Awareness","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353519","doi":"https://doi.org/10.1109/icassp49660.2025.10888955"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888955","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":"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/A5088025180","display_name":"Ming Ma","orcid":"https://orcid.org/0000-0001-8045-0471"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Ma","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069348780","display_name":"Yue Wang","orcid":"https://orcid.org/0009-0004-4766-4311"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114416487","display_name":"Taoli Du","orcid":"https://orcid.org/0009-0003-6488-1759"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taoli Du","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinxu Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinxu Gao","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347124","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-6265-4021"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339851","display_name":"Wenhui Li","orcid":"https://orcid.org/0000-0001-9609-6120"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Li","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088025180"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01791947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10320","display_name":"Neural Networks and Applications","score":0.9534000158309937,"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":0.9534000158309937,"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":0.9508000016212463,"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":0.7747067213058472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6782740950584412},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.6153057217597961},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4872080683708191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4553835690021515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4118034839630127}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7747067213058472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782740950584412},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.6153057217597961},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4872080683708191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553835690021515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4118034839630127},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888955","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/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2808168148","https://openalex.org/W2883111419","https://openalex.org/W2898170443","https://openalex.org/W2962851801","https://openalex.org/W2963363373","https://openalex.org/W2970958999","https://openalex.org/W2997219183","https://openalex.org/W3034513523","https://openalex.org/W3035467254","https://openalex.org/W3097855639","https://openalex.org/W3175399856","https://openalex.org/W3176213365","https://openalex.org/W3184682079","https://openalex.org/W3205652345","https://openalex.org/W4292794830","https://openalex.org/W4321770397","https://openalex.org/W4372260272","https://openalex.org/W4372346067","https://openalex.org/W4392303516","https://openalex.org/W4392903844","https://openalex.org/W6637373629","https://openalex.org/W6751913510","https://openalex.org/W6755843862","https://openalex.org/W6767327937","https://openalex.org/W6779249178","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Dynamic":[0],"pruning":[1,59,85,131,140],"leverage":[2],"the":[3,13,44,95,101,125],"feature":[4,102],"information":[5],"of":[6,104,127],"each":[7],"input":[8],"sample":[9,22,82],"to":[10,42,93,117],"dynamically":[11],"adjust":[12],"network":[14,96],"structure,":[15],"generating":[16],"multiple":[17],"subnetworks":[18],"suitable":[19],"for":[20],"different":[21],"complexity.":[23],"However,":[24],"it":[25],"inevitably":[26],"introduces":[27],"higher":[28],"computational":[29],"complexity":[30],"and":[31,77,121,144],"increased":[32],"memory":[33],"consumption.":[34],"In":[35,50],"addition,":[36],"complex":[37],"multi-stage":[38],"pipelines":[39],"are":[40],"required":[41],"counteract":[43],"performance":[45],"degradation":[46],"caused":[47],"by":[48],"pruning.":[49],"this":[51],"paper,":[52],"a":[53,110],"simple":[54],"yet":[55],"effective":[56],"global":[57],"static":[58,84],"method":[60,86],"based":[61],"on":[62,130,142],"Adaptive":[63],"Sample":[64],"Complexity":[65],"Awareness":[66],"is":[67,87,115],"proposed,":[68,88],"called":[69],"ASCA,":[70],"which":[71,89],"achieves":[72],"model":[73],"compression":[74],"without":[75],"pre-training":[76],"fine-tuning.":[78],"Specifically,":[79],"an":[80],"adaptive":[81],"complexity-aware":[83],"leverages":[90],"task":[91],"loss":[92,114],"guide":[94],"in":[97],"enhancing":[98],"or":[99],"suppressing":[100],"learning":[103],"samples":[105],"with":[106],"varying":[107],"complexities.":[108],"Then,":[109],"new":[111],"mask":[112],"binarization":[113],"proposed":[116],"automatically":[118],"distinguish":[119],"important":[120],"unimportant":[122],"channels,":[123],"avoiding":[124],"impact":[126],"hand-crafted":[128],"thresholds":[129],"performance.":[132],"Extensive":[133],"experiments":[134],"demonstrate":[135],"that":[136],"ASCA":[137],"outperforms":[138],"state-of-the-art":[139],"methods":[141],"CIFAR-10":[143],"ImageNet":[145],"datasets.":[146]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}