{"id":"https://openalex.org/W4401609291","doi":"https://doi.org/10.1109/icasspw62465.2024.10626654","title":"Two-Stage Neural Network Model with Packet Loss Detection for ICASSP 2024 PLC Challenge","display_name":"Two-Stage Neural Network Model with Packet Loss Detection for ICASSP 2024 PLC Challenge","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4401609291","doi":"https://doi.org/10.1109/icasspw62465.2024.10626654"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw62465.2024.10626654","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw62465.2024.10626654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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/A5101770379","display_name":"Xingwei Sun","orcid":"https://orcid.org/0000-0002-9382-6113"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwei Sun","raw_affiliation_strings":["Xiaomi Corporation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corporation,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056608424","display_name":"Qinglong Li","orcid":"https://orcid.org/0000-0002-6720-7765"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglong Li","raw_affiliation_strings":["Xiaomi Corporation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corporation,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063056031","display_name":"Kaichi Ma","orcid":"https://orcid.org/0000-0001-8254-261X"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaichi Ma","raw_affiliation_strings":["Xiaomi Corporation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corporation,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090305216","display_name":"Linzhang Wang","orcid":"https://orcid.org/0000-0003-4794-1652"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linzhang Wang","raw_affiliation_strings":["Xiaomi Corporation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corporation,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362608","display_name":"Yujun Wang","orcid":"https://orcid.org/0000-0003-2335-0946"},"institutions":[{"id":"https://openalex.org/I862669128","display_name":"Xiaomi (China)","ror":"https://ror.org/029f7bn57","country_code":"CN","type":"company","lineage":["https://openalex.org/I862669128"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Wang","raw_affiliation_strings":["Xiaomi Corporation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corporation,Beijing,China","institution_ids":["https://openalex.org/I862669128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I862669128"],"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":"9","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9283999800682068,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9175000190734863,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/stage","display_name":"Stage (stratigraphy)","score":0.6501837968826294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.644149661064148},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5948877930641174},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5277272462844849},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.4740726053714752},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37467363476753235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25971177220344543},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10213348269462585}],"concepts":[{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6501837968826294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.644149661064148},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5948877930641174},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5277272462844849},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.4740726053714752},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37467363476753235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25971177220344543},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10213348269462585},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw62465.2024.10626654","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw62465.2024.10626654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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":5,"referenced_works":["https://openalex.org/W2974407961","https://openalex.org/W3101330598","https://openalex.org/W4392908343","https://openalex.org/W4392931003","https://openalex.org/W4401597532"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W4393624937","https://openalex.org/W4296658948","https://openalex.org/W3199712142","https://openalex.org/W2134402536"],"abstract_inverted_index":{"We":[0],"proposed":[1,75,107],"an":[2],"audio":[3,113],"packet":[4,34,38,115],"loss":[5,35,39,116],"concealment":[6,117],"method":[7,104],"based":[8],"on":[9],"a":[10,27,76],"two-stage":[11,103],"neural":[12],"network":[13],"model.":[14],"Specifically,":[15],"in":[16,29,123],"the":[17,20,30,44,48,52,60,63,69,84,87,99,102,124],"first":[18,64],"stage,":[19,54],"encoder-decoder":[21],"architecture":[22],"is":[23,41,57],"used":[24],"to":[25,66,82],"generate":[26],"filter":[28,56],"time-frequency":[31],"domain":[32],"for":[33],"concealment.":[36],"Meanwhile,":[37],"detection":[40],"conducted":[42],"with":[43,59],"potential":[45],"features":[46],"from":[47,62],"encoder":[49],"module.":[50],"In":[51,71,110],"second":[53],"another":[55],"estimated":[58],"information":[61],"stage":[65],"further":[67],"enhance":[68],"distortion.":[70],"this":[72],"model,":[73],"we":[74],"local":[77],"dense":[78],"convolution":[79,89],"(LDC)":[80],"layer":[81,90],"improve":[83],"ability":[85],"of":[86,101,126],"conventional":[88],"without":[91],"increasing":[92],"computation":[93],"complexity.":[94],"The":[95],"experiment":[96],"results":[97],"verified":[98],"effectiveness":[100],"and":[105,128],"our":[106,119],"LDC":[108],"layer.":[109],"ICASSP":[111],"2024":[112],"deep":[114],"challenge,":[118],"system":[120],"ranks":[121],"5th":[122],"evaluation":[125],"P.804":[127],"word":[129],"acceptance":[130],"rate.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}