{"id":"https://openalex.org/W3087327842","doi":"https://doi.org/10.1145/3383261","title":"Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning","display_name":"Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3087327842","doi":"https://doi.org/10.1145/3383261","mag":"3087327842"},"language":"en","primary_location":{"id":"doi:10.1145/3383261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383261","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5015923473","display_name":"Zimu Zheng","orcid":"https://orcid.org/0000-0002-4342-6015"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zimu Zheng","raw_affiliation_strings":["Hong Kong Polytechnic University and Huawei Cloud, Bantian, Longgang, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4342-6015","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University and Huawei Cloud, Bantian, Longgang, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069709646","display_name":"Jie Pu","orcid":"https://orcid.org/0000-0001-7169-4044"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Pu","raw_affiliation_strings":["Huawei Cloud, Bantian, Longgang, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud, Bantian, Longgang, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103142759","display_name":"Linghui Liu","orcid":"https://orcid.org/0000-0002-9849-5595"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linghui Liu","raw_affiliation_strings":["Huawei Cloud, Bantian, Longgang, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud, Bantian, Longgang, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411794","display_name":"Dan Wang","orcid":"https://orcid.org/0000-0002-0921-2726"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Wang","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091807530","display_name":"Xiangming Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangming Mei","raw_affiliation_strings":["Huawei Cloud, Bantian, Longgang, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud, Bantian, Longgang, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378893","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0002-8010-6045"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["Huawei Cloud, Bantian, Longgang, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud, Bantian, Longgang, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048783161","display_name":"Quanyu Dai","orcid":"https://orcid.org/0000-0001-7578-2738"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Quanyu Dai","raw_affiliation_strings":["Hong Kong Polytechnic University, Hung Hom, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7578-2738","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9126,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80665834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"6","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8370828628540039},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6527565121650696},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6202074289321899},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5699096918106079},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5146787762641907},{"id":"https://openalex.org/keywords/solder-paste","display_name":"Solder paste","score":0.5136818289756775},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5102951526641846},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5072595477104187},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4902544319629669},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.48639562726020813},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47166311740875244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46717578172683716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40527427196502686},{"id":"https://openalex.org/keywords/printed-circuit-board","display_name":"Printed circuit board","score":0.33477675914764404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370828628540039},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6527565121650696},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6202074289321899},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5699096918106079},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5146787762641907},{"id":"https://openalex.org/C191281628","wikidata":"https://www.wikidata.org/wiki/Q977971","display_name":"Solder paste","level":3,"score":0.5136818289756775},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5102951526641846},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5072595477104187},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4902544319629669},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.48639562726020813},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47166311740875244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46717578172683716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40527427196502686},{"id":"https://openalex.org/C120793396","wikidata":"https://www.wikidata.org/wiki/Q173350","display_name":"Printed circuit board","level":2,"score":0.33477675914764404},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3383261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383261","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-167484","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-167484","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1985756133","https://openalex.org/W2021697284","https://openalex.org/W2027933820","https://openalex.org/W2031250362","https://openalex.org/W2044374157","https://openalex.org/W2056884786","https://openalex.org/W2112129461","https://openalex.org/W2122646361","https://openalex.org/W2134255060","https://openalex.org/W2144182447","https://openalex.org/W2144752499","https://openalex.org/W2147620601","https://openalex.org/W2153086202","https://openalex.org/W2165698076","https://openalex.org/W2241204461","https://openalex.org/W2322020277","https://openalex.org/W2329970408","https://openalex.org/W2498417586","https://openalex.org/W2547405038","https://openalex.org/W2571841761","https://openalex.org/W2600578627","https://openalex.org/W2602753196","https://openalex.org/W2615497679","https://openalex.org/W2744312209","https://openalex.org/W2795052757","https://openalex.org/W2803794924","https://openalex.org/W2808857778","https://openalex.org/W2903045549","https://openalex.org/W2903296288","https://openalex.org/W2913340405","https://openalex.org/W2955888259","https://openalex.org/W2964185501","https://openalex.org/W2964839857","https://openalex.org/W2965192960","https://openalex.org/W3143835353","https://openalex.org/W4231892385","https://openalex.org/W4251769150","https://openalex.org/W4254420769","https://openalex.org/W4285719527","https://openalex.org/W6681414149"],"related_works":["https://openalex.org/W2330905700","https://openalex.org/W2371671011","https://openalex.org/W1634269331","https://openalex.org/W2589694705","https://openalex.org/W4252608911","https://openalex.org/W2006647471","https://openalex.org/W2121341427","https://openalex.org/W2947377870","https://openalex.org/W2098273855","https://openalex.org/W2355484651"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,158,227],"study":[4],"solder":[5,129],"paste":[6,130],"inspection":[7],"(SPI),":[8],"an":[9,102],"important":[10],"stage":[11],"that":[12,55,113,136,176,199,226],"is":[13,54,88,101,112,171,180],"used":[14],"in":[15,42,47,60,76,109,209],"the":[16,40,45,63,73,81,114,128,165,177,185,210],"semiconductor":[17],"manufacturing":[18],"industry,":[19],"where":[20,84,164],"abnormal":[21],"boards":[22,46,74],"should":[23],"be":[24,120],"detected.":[25],"A":[26,50,106],"highly":[27],"accurate":[28],"SPI":[29,111,178,186],"can":[30,228,235],"substantially":[31,69],"reduce":[32,39,229],"human":[33],"expert":[34],"involvement,":[35],"as":[36,38],"well":[37],"waste":[41],"disposing":[43],"of":[44,57,65,72,145,167,231,240],"good":[48],"condition.":[49],"key":[51],"difference":[52],"today":[53],"because":[56],"increasing":[58],"demand":[59],"board":[61,66,92],"customization,":[62],"number":[64],"types":[67],"increases":[68],"and":[70,147,182,206],"quantity":[71],"produced":[75],"each":[77,91],"type":[78,93],"decreases.":[79],"Thus,":[80],"previous":[82],"approaches":[83],"a":[85,137,143,160,190,195],"fine-tuned":[86],"model":[87],"developed":[89],"for":[90,117,188],"are":[94],"no":[95],"longer":[96],"viable.":[97],"Intrinsically,":[98],"our":[99,215],"problem":[100],"anomaly":[103],"detection":[104],"problem.":[105],"major":[107],"specialty":[108],"today\u2019s":[110],"target":[115,169],"tasks":[116,146,150,170],"prediction":[118],"cannot":[119],"fully":[121],"pre-determined":[122],"due":[123],"to":[124,140,154,203,237],"context":[125],"changes":[126],"during":[127],"printing":[131],"stage.":[132],"Our":[133],"experiences":[134],"show":[135,225],"conventional":[138],"approach":[139,216],"first":[141],"define":[142],"set":[144],"train":[148],"these":[149],"offline":[151],"will":[152],"lead":[153],"low":[155],"accuracy.":[156],"Here,":[157],"propose":[159,194],"novel":[161],"multi-task":[162],"approach,":[163],"performance":[166],"all":[168],"ensured":[172],"simultaneously.":[173],"We":[174,193,213,224],"note":[175],"process":[179],"streamlined":[181],"automatic,":[183],"allowing":[184],"time":[187],"only":[189],"few":[191],"seconds.":[192],"fast":[196],"clustering":[197],"algorithm":[198],"reuses":[200],"existing":[201],"models":[202],"avoid":[204],"retraining":[205],"fine":[207],"tune":[208],"inference":[211],"phase.":[212],"evaluate":[214],"using":[217],"3-month":[218],"data":[219],"collected":[220],"from":[221],"production":[222],"lines.":[223],"81.28%":[230],"false":[232],"alarms.":[233],"This":[234],"translate":[236],"annual":[238],"savings":[239],"$11.3":[241],"million.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
