{"id":"https://openalex.org/W3094786017","doi":"https://doi.org/10.1007/978-3-030-58548-8_4","title":"GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework","display_name":"GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094786017","doi":"https://doi.org/10.1007/978-3-030-58548-8_4","mag":"3094786017"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58548-8_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58548-8_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5058253075","display_name":"Haotao Wang","orcid":"https://orcid.org/0000-0002-0626-2058"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haotao Wang","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, 78712, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, 78712, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048634974","display_name":"Shupeng Gui","orcid":"https://orcid.org/0000-0003-4744-4680"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shupeng Gui","raw_affiliation_strings":["University of Rochester, Rochester, NY, 14627, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, 14627, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873310","display_name":"Haichuan Yang","orcid":"https://orcid.org/0000-0002-9042-9200"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haichuan Yang","raw_affiliation_strings":["University of Rochester, Rochester, NY, 14627, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, 14627, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396323","display_name":"Ji Liu","orcid":"https://orcid.org/0000-0002-5509-5065"},"institutions":[{"id":"https://openalex.org/I4210115859","display_name":"Behavioral Tech Research, Inc.","ror":"https://ror.org/02843s885","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210115859"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji Liu","raw_affiliation_strings":["AI Platform, Ytech Seattle AI Lab, FeDA Lab, Kwai Inc., Seattle, WA, 98004, USA"],"affiliations":[{"raw_affiliation_string":"AI Platform, Ytech Seattle AI Lab, FeDA Lab, Kwai Inc., Seattle, WA, 98004, USA","institution_ids":["https://openalex.org/I4210115859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048522863","display_name":"Zhangyang Wang","orcid":"https://orcid.org/0000-0002-2050-5693"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhangyang Wang","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, 78712, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, 78712, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058253075"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":7.0556,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.96802683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9990000128746033,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.864037036895752},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5566283464431763},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.46026426553726196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4466778635978699},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.42116397619247437},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.41898661851882935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4126087427139282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34716135263442993},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11547961831092834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.864037036895752},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5566283464431763},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.46026426553726196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4466778635978699},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.42116397619247437},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.41898661851882935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4126087427139282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34716135263442993},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11547961831092834},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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":1,"locations":[{"id":"doi:10.1007/978-3-030-58548-8_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58548-8_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1902934009","https://openalex.org/W2033322043","https://openalex.org/W2099471712","https://openalex.org/W2300242332","https://openalex.org/W2331128040","https://openalex.org/W2432004435","https://openalex.org/W2495425901","https://openalex.org/W2513419314","https://openalex.org/W2524428287","https://openalex.org/W2605135824","https://openalex.org/W2687693326","https://openalex.org/W2752037867","https://openalex.org/W2788836009","https://openalex.org/W2798729263","https://openalex.org/W2799197246","https://openalex.org/W2804193803","https://openalex.org/W2884022415","https://openalex.org/W2884041121","https://openalex.org/W2886851211","https://openalex.org/W2889609569","https://openalex.org/W2913535645","https://openalex.org/W2913543596","https://openalex.org/W2962760235","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962851801","https://openalex.org/W2963363373","https://openalex.org/W2963382930","https://openalex.org/W2963470893","https://openalex.org/W2963480671","https://openalex.org/W2963836885","https://openalex.org/W2964233199","https://openalex.org/W2964299589","https://openalex.org/W2965862774","https://openalex.org/W2968019134","https://openalex.org/W2971229607","https://openalex.org/W2982234100","https://openalex.org/W2982479999","https://openalex.org/W2982795046","https://openalex.org/W2982802130","https://openalex.org/W2983484869","https://openalex.org/W2983541695","https://openalex.org/W2989221291","https://openalex.org/W2997563695","https://openalex.org/W3002944878","https://openalex.org/W3007063652","https://openalex.org/W3009383973","https://openalex.org/W3033108890","https://openalex.org/W3034344052","https://openalex.org/W3035200909","https://openalex.org/W3035204081","https://openalex.org/W3035204914","https://openalex.org/W3035235751","https://openalex.org/W3035414587","https://openalex.org/W3043495022","https://openalex.org/W3103144163","https://openalex.org/W3118608800","https://openalex.org/W4210643868","https://openalex.org/W4244393449","https://openalex.org/W6600336938","https://openalex.org/W6600922481","https://openalex.org/W6601487527","https://openalex.org/W6602439081","https://openalex.org/W6628107832"],"related_works":["https://openalex.org/W2016058626","https://openalex.org/W2474724840","https://openalex.org/W2963760573","https://openalex.org/W185788778","https://openalex.org/W2895916002","https://openalex.org/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}