{"id":"https://openalex.org/W2950025781","doi":"https://doi.org/10.1145/3307650.3322258","title":"TIE","display_name":"TIE","publication_year":2019,"publication_date":"2019-06-14","ids":{"openalex":"https://openalex.org/W2950025781","doi":"https://doi.org/10.1145/3307650.3322258","mag":"2950025781"},"language":"en","primary_location":{"id":"doi:10.1145/3307650.3322258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307650.3322258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International Symposium on Computer Architecture","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/A5102883458","display_name":"Chunhua Deng","orcid":"https://orcid.org/0000-0002-0258-0155"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Chunhua Deng","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102307566","display_name":"Fangxuan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangxuan Sun","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047215143","display_name":"Xuehai Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuehai Qian","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019940239","display_name":"Jun Lin","orcid":"https://orcid.org/0000-0003-2760-4333"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lin","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696999","display_name":"Zhongfeng Wang","orcid":"https://orcid.org/0000-0002-7227-4786"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Wang","raw_affiliation_strings":["Nanjing University"],"affiliations":[{"raw_affiliation_string":"Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770278","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-6612-9948"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102883458"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":3.985,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.9505683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"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":0.7794382572174072},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7448517680168152},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.682412326335907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5261221528053284},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5090405344963074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48742130398750305},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.429984450340271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3285660743713379},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.13419660925865173},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11857461929321289},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08228355646133423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7794382572174072},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7448517680168152},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.682412326335907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5261221528053284},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5090405344963074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48742130398750305},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.429984450340271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3285660743713379},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.13419660925865173},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11857461929321289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08228355646133423}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307650.3322258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307650.3322258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International Symposium on Computer Architecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W1724438581","https://openalex.org/W1902237438","https://openalex.org/W1977774297","https://openalex.org/W1993482030","https://openalex.org/W2048266589","https://openalex.org/W2057740006","https://openalex.org/W2067523571","https://openalex.org/W2108598243","https://openalex.org/W2119144962","https://openalex.org/W2125389748","https://openalex.org/W2152839228","https://openalex.org/W2155893237","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2261808795","https://openalex.org/W2276486856","https://openalex.org/W2300242332","https://openalex.org/W2331737637","https://openalex.org/W2431890537","https://openalex.org/W2442974303","https://openalex.org/W2466675884","https://openalex.org/W2508602506","https://openalex.org/W2511743527","https://openalex.org/W2513554817","https://openalex.org/W2515287984","https://openalex.org/W2516141709","https://openalex.org/W2518281301","https://openalex.org/W2518511512","https://openalex.org/W2524802307","https://openalex.org/W2541839172","https://openalex.org/W2551814622","https://openalex.org/W2559813832","https://openalex.org/W2562773490","https://openalex.org/W2563587242","https://openalex.org/W2565305208","https://openalex.org/W2565851976","https://openalex.org/W2585560244","https://openalex.org/W2605347906","https://openalex.org/W2606722458","https://openalex.org/W2612076670","https://openalex.org/W2613989746","https://openalex.org/W2625457103","https://openalex.org/W2626991402","https://openalex.org/W2647836899","https://openalex.org/W2657126969","https://openalex.org/W2741527259","https://openalex.org/W2751366252","https://openalex.org/W2764337919","https://openalex.org/W2765234579","https://openalex.org/W2765315405","https://openalex.org/W2767737961","https://openalex.org/W2788007484","https://openalex.org/W2790925711","https://openalex.org/W2793168176","https://openalex.org/W2794478957","https://openalex.org/W2794986474","https://openalex.org/W2795127895","https://openalex.org/W2796347433","https://openalex.org/W2883542588","https://openalex.org/W2883899390","https://openalex.org/W2883920103","https://openalex.org/W2884071170","https://openalex.org/W2884159178","https://openalex.org/W2884687835","https://openalex.org/W2906043559","https://openalex.org/W2919115771","https://openalex.org/W2920070300","https://openalex.org/W2938671542","https://openalex.org/W2938963124","https://openalex.org/W2950656546","https://openalex.org/W2952689122","https://openalex.org/W2953212265","https://openalex.org/W2962766718","https://openalex.org/W2962821792","https://openalex.org/W2963367920","https://openalex.org/W2963594949","https://openalex.org/W2964174152","https://openalex.org/W2997828269","https://openalex.org/W3104393472","https://openalex.org/W4212788319","https://openalex.org/W4243519499","https://openalex.org/W4245199738","https://openalex.org/W4251575795","https://openalex.org/W4251607628","https://openalex.org/W4251607986","https://openalex.org/W4254672563","https://openalex.org/W4289441319"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"In":[0],"the":[1,14],"era":[2],"of":[3,51],"artificial":[4],"intelligence":[5],"(AI),":[6],"deep":[7],"neural":[8],"networks":[9],"(DNNs)":[10],"have":[11],"emerged":[12],"as":[13],"most":[15],"important":[16],"and":[17,28],"powerful":[18],"AI":[19],"technique.":[20],"However,":[21],"large":[22],"DNN":[23],"models":[24],"are":[25],"both":[26],"storage":[27],"computation":[29],"intensive,":[30],"posing":[31],"significant":[32],"challenges":[33],"for":[34],"adopting":[35],"DNNs":[36],"in":[37],"resource-constrained":[38],"scenarios.":[39],"Thus,":[40],"model":[41],"compression":[42],"becomes":[43],"a":[44],"crucial":[45],"technique":[46],"to":[47],"ensure":[48],"wide":[49],"deployment":[50],"DNNs.":[52]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2019-06-27T00:00:00"}