{"id":"https://openalex.org/W4392909921","doi":"https://doi.org/10.1109/icassp48485.2024.10445857","title":"Implicit Neural Representation For Low-Overhead Graph-Based Holographic-Type Communications","display_name":"Implicit Neural Representation For Low-Overhead Graph-Based Holographic-Type Communications","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909921","doi":"https://doi.org/10.1109/icassp48485.2024.10445857"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10445857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10445857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5019715983","display_name":"Takuya Fujihashi","orcid":"https://orcid.org/0000-0002-6960-0122"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuya Fujihashi","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Suita,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Suita,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058604078","display_name":"Sorachi Kato","orcid":"https://orcid.org/0000-0002-6896-5293"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sorachi Kato","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Suita,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Suita,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023338067","display_name":"Toshiaki Koike\u2010Akino","orcid":"https://orcid.org/0000-0002-2578-5372"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Toshiaki Koike-Akino","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA,02139"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA,02139","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019715983"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.8898,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72333933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2825","last_page":"2829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9781000018119812,"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":0.7393246293067932},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5706199407577515},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49055927991867065},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4771249294281006},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4410237967967987},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.43904706835746765},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.41317328810691833},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41131824254989624},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3716197609901428},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32173842191696167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1483578085899353},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14427655935287476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393246293067932},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5706199407577515},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49055927991867065},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4771249294281006},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4410237967967987},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.43904706835746765},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.41317328810691833},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41131824254989624},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3716197609901428},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32173842191696167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1483578085899353},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14427655935287476},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10445857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10445857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1986678681","https://openalex.org/W2152864241","https://openalex.org/W2157409650","https://openalex.org/W2167724667","https://openalex.org/W2508691887","https://openalex.org/W2516853023","https://openalex.org/W2796431263","https://openalex.org/W2883604724","https://openalex.org/W2912592616","https://openalex.org/W2914304175","https://openalex.org/W2921589965","https://openalex.org/W2946889564","https://openalex.org/W2963026027","https://openalex.org/W3035291735","https://openalex.org/W3045501066","https://openalex.org/W3048526884","https://openalex.org/W3091766805","https://openalex.org/W3096564590","https://openalex.org/W3160358343","https://openalex.org/W3193167922","https://openalex.org/W3213840695","https://openalex.org/W4200150166","https://openalex.org/W4230938240","https://openalex.org/W4312278485","https://openalex.org/W4320169939","https://openalex.org/W4383102779","https://openalex.org/W4384519377","https://openalex.org/W6779753539","https://openalex.org/W6791346067","https://openalex.org/W6797770180","https://openalex.org/W6850224944"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W4383602045"],"abstract_inverted_index":{"Point":[0],"cloud":[1,30,37,84,142],"delivery":[2,31,85],"over":[3,38],"wireless":[4,21],"and":[5,22,40,55,110,118],"mobile":[6,23],"channels":[7],"will":[8],"be":[9],"a":[10,48,60,81,105,166],"key":[11,26],"technology":[12],"for":[13],"untethered":[14],"users":[15],"to":[16,51,70,93],"realize":[17],"extended":[18],"reality":[19],"via":[20],"terminals.":[24],"A":[25],"challenge":[27],"of":[28,100,126,148,158],"point":[29,36,83,141],"is":[32,47],"efficiently":[33],"delivering":[34],"the":[35,72,76,95,98,101,108,111,115,119,123,127,130,135,140,145,152,159,162],"unstable":[39],"band-limited":[41],"channels.":[42],"Graph":[43],"Fourier":[44],"Transform":[45],"(GFT)":[46],"potential":[49],"solution":[50],"compress":[52],"such":[53],"non-uniformly":[54],"non-orderly":[56],"distributed":[57],"signals":[58],"in":[59,114,161],"3D":[61],"space,":[62],"whereas":[63],"GFT-based":[64],"solutions":[65],"require":[66],"large":[67],"communication":[68,149],"overhead":[69,150],"share":[71],"graph":[73],"information":[74],"with":[75],"receiver.":[77],"This":[78],"paper":[79],"proposes":[80],"novel":[82],"scheme":[86,103,121,137],"that":[87,134],"introduces":[88],"implicit":[89],"neural":[90],"representation":[91],"(INR)":[92],"reduce":[94],"overhead.":[96],"Specifically,":[97],"INR":[99,128,154],"proposed":[102,120,136,153],"trains":[104],"mapping":[106],"between":[107],"indices":[109],"corresponding":[112],"weight":[113],"adjacency":[116,163],"matrix":[117,164],"sends":[122],"parameter":[124,168],"set":[125],"as":[129],"metadata.":[131],"Evaluations":[132],"demonstrate":[133],"can":[138,155],"improve":[139],"quality":[143],"under":[144],"same":[146],"amount":[147],"because":[151],"predict":[156],"most":[157],"elements":[160],"using":[165],"small":[167],"set.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
