{"id":"https://openalex.org/W4375869017","doi":"https://doi.org/10.1109/icassp49357.2023.10095077","title":"Inverse Quadratic Transform for Minimizing A Sum of Ratios","display_name":"Inverse Quadratic Transform for Minimizing A Sum of Ratios","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869017","doi":"https://doi.org/10.1109/icassp49357.2023.10095077"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095077","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006977467","display_name":"Yannan Chen","orcid":"https://orcid.org/0000-0002-2831-6475"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yannan Chen","raw_affiliation_strings":["The Chinese University of Hong Kong (Shenzhen),School of Science and Engineering,China","School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong (Shenzhen),School of Science and Engineering,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855661","display_name":"Licheng Zhao","orcid":"https://orcid.org/0000-0002-8033-390X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Zhao","raw_affiliation_strings":["Shenzhen Research Institute of Big Data,China","Shenzhen Research Institute of Big Data, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data,China","institution_ids":["https://openalex.org/I4210099586"]},{"raw_affiliation_string":"Shenzhen Research Institute of Big Data, China","institution_ids":["https://openalex.org/I4210099586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677019","display_name":"Yaowen Zhang","orcid":"https://orcid.org/0000-0002-1379-2639"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowen Zhang","raw_affiliation_strings":["The Chinese University of Hong Kong (Shenzhen),School of Science and Engineering,China","School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong (Shenzhen),School of Science and Engineering,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022905256","display_name":"Kaiming Shen","orcid":"https://orcid.org/0000-0003-0680-7975"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiming Shen","raw_affiliation_strings":["The Chinese University of Hong Kong (Shenzhen),School of Science and Engineering,China","School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong (Shenzhen),School of Science and Engineering,China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"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/T13553","display_name":"Age of Information Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13553","display_name":"Age of Information Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.7247819900512695},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.6725869178771973},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.645514965057373},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6279014945030212},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5502684712409973},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5249086618423462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45333346724510193},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.42827939987182617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42126303911209106},{"id":"https://openalex.org/keywords/quadratic-function","display_name":"Quadratic function","score":0.4147726893424988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4078149199485779},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06596726179122925}],"concepts":[{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.7247819900512695},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.6725869178771973},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.645514965057373},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6279014945030212},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5502684712409973},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5249086618423462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45333346724510193},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.42827939987182617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42126303911209106},{"id":"https://openalex.org/C166437778","wikidata":"https://www.wikidata.org/wiki/Q50695","display_name":"Quadratic function","level":3,"score":0.4147726893424988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4078149199485779},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06596726179122925},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095077","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W36747366","https://openalex.org/W90712649","https://openalex.org/W1495367673","https://openalex.org/W1505348331","https://openalex.org/W1507300232","https://openalex.org/W1556949287","https://openalex.org/W1677318746","https://openalex.org/W1967956032","https://openalex.org/W1994623385","https://openalex.org/W2014833368","https://openalex.org/W2026108436","https://openalex.org/W2030427207","https://openalex.org/W2047817929","https://openalex.org/W2050968963","https://openalex.org/W2075978622","https://openalex.org/W2090869342","https://openalex.org/W2094129854","https://openalex.org/W2146487252","https://openalex.org/W2156577211","https://openalex.org/W2508393166","https://openalex.org/W2745612518","https://openalex.org/W2788350651","https://openalex.org/W2887369918","https://openalex.org/W2962995513","https://openalex.org/W2963294159","https://openalex.org/W2974586822","https://openalex.org/W3046016465","https://openalex.org/W3203778212","https://openalex.org/W4239127740","https://openalex.org/W6603594864","https://openalex.org/W6637169243"],"related_works":["https://openalex.org/W2900864464","https://openalex.org/W2475480881","https://openalex.org/W2121723556","https://openalex.org/W2288977275","https://openalex.org/W54727051","https://openalex.org/W2783639087","https://openalex.org/W2155956102","https://openalex.org/W2390244926","https://openalex.org/W2112820851","https://openalex.org/W2077098522"],"abstract_inverted_index":{"A":[0],"major":[1],"challenge":[2],"with":[3],"the":[4,11,15,23,36,46,78,95,101,109],"multi-ratio":[5],"Fractional":[6],"Program":[7],"(FP)":[8],"is":[9,43],"that":[10,83],"existing":[12],"methods":[13],"for":[14,22,35],"maximization":[16],"problem":[17,48],"typically":[18],"do":[19],"not":[20],"work":[21],"minimization":[24,38,68],"case.":[25],"We":[26,70],"propose":[27],"a":[28,50,65,73],"novel":[29],"technique":[30],"called":[31],"inverse":[32,79,104],"quadratic":[33,80,105],"transform":[34,59,106],"sum-of-ratios":[37],"problem.":[39,69],"Its":[40],"main":[41],"idea":[42],"to":[44,53,64,94],"reformulate":[45],"min-FP":[47],"in":[49,107],"form":[51],"amenable":[52],"efficient":[54],"iterative":[55],"optimization.":[56],"Furthermore,":[57],"this":[58],"can":[60,90],"be":[61,91],"readily":[62],"extended":[63],"general":[66],"cost-function-of-multiple-ratios":[67],"also":[71],"give":[72],"Majorization-Minimization":[74],"(MM)":[75],"interpretation":[76],"of":[77,88,103,112],"transform,":[81],"showing":[82],"all":[84],"those":[85],"desirable":[86],"properties":[87],"MM":[89],"carried":[92],"over":[93],"new":[96],"technique.":[97],"Moreover,":[98],"we":[99],"demonstrate":[100],"application":[102],"minimizing":[108],"Age-of-Information":[110],"(AoI)":[111],"data":[113],"networks.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
