{"id":"https://openalex.org/W4386323366","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226977","title":"Compensation Method of Quantized Deep Learning Models for Edge Devices","display_name":"Compensation Method of Quantized Deep Learning Models for Edge Devices","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4386323366","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226977"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan58799.2023.10226977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan58799.2023.10226977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5053133694","display_name":"Xiu-Zhi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xiu-Zhi Chen","raw_affiliation_strings":["National Taipei University of Technology,Dept. of Computer Science &#x0026; Information Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Dept. of Computer Science &#x0026; Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064329331","display_name":"Jhen-Hao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jhen-Hao Li","raw_affiliation_strings":["National Taipei University of Technology,Dept. of Computer Science &#x0026; Information Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Dept. of Computer Science &#x0026; Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670010","display_name":"Yen\u2010Lin Chen","orcid":"https://orcid.org/0000-0001-7717-9393"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Lin Chen","raw_affiliation_strings":["National Taipei University of Technology,Dept. of Computer Science &#x0026; Information Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Dept. of Computer Science &#x0026; Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102550987","display_name":"Chieh-Sheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133876","display_name":"Intel (Taiwan)","ror":"https://ror.org/03gezv924","country_code":"TW","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210133876"]},{"id":"https://openalex.org/I4210159061","display_name":"ELAN Microelectronics (Taiwan)","ror":"https://ror.org/051d31036","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210159061"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chieh-Sheng Huang","raw_affiliation_strings":["ELAN Microelectronics Corporation,Artificial Intelligence Research and Development Department,Hsinchu,Taiwan","Artificial Intelligence Research and Development Department, ELAN Microelectronics Corporation, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ELAN Microelectronics Corporation,Artificial Intelligence Research and Development Department,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I4210159061"]},{"raw_affiliation_string":"Artificial Intelligence Research and Development Department, ELAN Microelectronics Corporation, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210133876","https://openalex.org/I4210159061"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"679","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10320","display_name":"Neural Networks and Applications","score":0.9775999784469604,"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/compensation","display_name":"Compensation (psychology)","score":0.7088514566421509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6115366816520691},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5202683210372925},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4400824308395386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40706613659858704}],"concepts":[{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.7088514566421509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115366816520691},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5202683210372925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4400824308395386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40706613659858704},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan58799.2023.10226977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan58799.2023.10226977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2194775991","https://openalex.org/W2551176409","https://openalex.org/W2809624076","https://openalex.org/W3118608800","https://openalex.org/W4287118909","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6753069482","https://openalex.org/W6787972765","https://openalex.org/W6796815506"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Quantization":[0],"is":[1,56,73],"one":[2],"of":[3,68],"the":[4,17,26,34,39,42,66,77,89],"optimization":[5],"methods":[6],"for":[7,12,64],"developing":[8],"deep":[9,70],"learning":[10,71],"models":[11,72],"edge":[13],"devices.":[14],"Through":[15],"converting":[16],"floating-point":[18,91],"into":[19],"8bit":[20],"integer":[21],"or":[22,83],"even":[23,84],"lower":[24],"bitwidth,":[25],"model\u2019s":[27],"storage":[28],"size":[29],"can":[30,52,80],"be":[31],"reduced.":[32],"As":[33,46],"rounding":[35],"error":[36],"exists":[37],"during":[38],"quantization":[40],"process,":[41],"model":[43,54,79],"performance":[44,55,67,86],"decreases.":[45],"a":[47,49,61],"result,":[48],"method":[50,63],"that":[51],"recover":[53],"needed.":[57],"In":[58],"this":[59],"research,":[60],"compensation":[62],"improving":[65],"quantized":[69,78],"proposed,":[74],"which":[75],"make":[76],"achieve":[81],"equal":[82],"better":[85],"compared":[87],"to":[88],"original":[90],"model.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
