{"id":"https://openalex.org/W4390908079","doi":"https://doi.org/10.1109/tpami.2024.3354910","title":"Boosting Factorization Machines via Saliency-Guided Mixup","display_name":"Boosting Factorization Machines via Saliency-Guided Mixup","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390908079","doi":"https://doi.org/10.1109/tpami.2024.3354910","pmid":"https://pubmed.ncbi.nlm.nih.gov/38227418"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3354910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3354910","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033069158","display_name":"Chenwang Wu","orcid":"https://orcid.org/0000-0003-4937-0590"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwang Wu","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, Hefei, China","School of Data Science, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0003-4937-0590","affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Lian","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-3507-9607","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744165","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0001-8094-4180"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Ge","raw_affiliation_strings":["Eller College of Management, University of Arizona, Tucson, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0001-8094-4180","affiliations":[{"raw_affiliation_string":"Eller College of Management, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424288","display_name":"Min Zhou","orcid":"https://orcid.org/0000-0002-4088-1266"},"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":"Min Zhou","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4088-1266","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-4835-4102","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["JD Explore Academy in JD.com, Beijing, China","University of Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7225-5449","affiliations":[{"raw_affiliation_string":"JD Explore Academy in JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]},{"raw_affiliation_string":"University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5583,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90458424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"46","issue":"6","first_page":"4443","last_page":"4459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9916999936103821,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9909999966621399,"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":0.862673282623291},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6875226497650146},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.655783474445343},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5252832174301147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5201333165168762},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5092164278030396},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.496695339679718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47637316584587097},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.46450018882751465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17103862762451172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.862673282623291},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6875226497650146},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.655783474445343},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5252832174301147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5201333165168762},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5092164278030396},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.496695339679718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47637316584587097},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.46450018882751465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17103862762451172},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3354910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3354910","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38227418","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38227418","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.75}],"awards":[{"id":"https://openalex.org/G3179083445","display_name":null,"funder_award_id":"62022077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4799459813","display_name":null,"funder_award_id":"61976198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W153185079","https://openalex.org/W377489325","https://openalex.org/W1562476336","https://openalex.org/W1714176656","https://openalex.org/W1968436459","https://openalex.org/W1973616272","https://openalex.org/W2002834872","https://openalex.org/W2055079831","https://openalex.org/W2180612164","https://openalex.org/W2271840356","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2509678028","https://openalex.org/W2517540742","https://openalex.org/W2579923771","https://openalex.org/W2583200575","https://openalex.org/W2585017256","https://openalex.org/W2604662567","https://openalex.org/W2745024368","https://openalex.org/W2783715804","https://openalex.org/W2788401571","https://openalex.org/W2788522804","https://openalex.org/W2793768763","https://openalex.org/W2798868970","https://openalex.org/W2891672047","https://openalex.org/W2963081790","https://openalex.org/W2963085847","https://openalex.org/W2963323306","https://openalex.org/W2963895309","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2996826556","https://openalex.org/W2996964951","https://openalex.org/W2997130580","https://openalex.org/W3006913750","https://openalex.org/W3007125775","https://openalex.org/W3012754345","https://openalex.org/W3045200674","https://openalex.org/W3081170586","https://openalex.org/W3101432304","https://openalex.org/W3103511443","https://openalex.org/W3104030692","https://openalex.org/W3104669598","https://openalex.org/W3124127519","https://openalex.org/W3125645205","https://openalex.org/W3132126111","https://openalex.org/W3135723262","https://openalex.org/W3138191931","https://openalex.org/W3153279132","https://openalex.org/W3154314696","https://openalex.org/W3154430477","https://openalex.org/W3156766660","https://openalex.org/W3159649695","https://openalex.org/W3164906010","https://openalex.org/W3192638343","https://openalex.org/W3197681757","https://openalex.org/W4224227049","https://openalex.org/W4225305708","https://openalex.org/W4226453472","https://openalex.org/W4281914670","https://openalex.org/W4284706527","https://openalex.org/W4290874950","https://openalex.org/W4293210201","https://openalex.org/W4296604445","https://openalex.org/W4312122891","https://openalex.org/W4324323345","https://openalex.org/W4367046995","https://openalex.org/W6637696809","https://openalex.org/W6685133223","https://openalex.org/W6694517276","https://openalex.org/W6724478308","https://openalex.org/W6732517885","https://openalex.org/W6747846959","https://openalex.org/W6752515464","https://openalex.org/W6755131061","https://openalex.org/W6763262683","https://openalex.org/W6772141929","https://openalex.org/W6773424267","https://openalex.org/W6773668791","https://openalex.org/W6779640401","https://openalex.org/W6782237813","https://openalex.org/W6784078097","https://openalex.org/W6789607517","https://openalex.org/W6791688177","https://openalex.org/W6796051236","https://openalex.org/W6917172014"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W2760891738"],"abstract_inverted_index":{"Factorization":[0,154],"machines":[1],"(FMs)":[2],"are":[3,103,206],"widely":[4],"used":[5],"in":[6,26,124],"recommender":[7],"systems":[8],"due":[9],"to":[10,15,37,73,78,91,127,208],"their":[11,45,134],"adaptability":[12],"and":[13,89,98],"ability":[14],"learn":[16,50],"from":[17],"sparse":[18,27],"data.":[19,174],"However,":[20],"for":[21],"the":[22,34,41,51,59,106,110,165,181,185,189,211,220],"ubiquitous":[23],"non-interactive":[24,121],"features":[25,39,122],"data,":[28],"existing":[29,82],"FMs":[30],"can":[31,169],"only":[32,104],"estimate":[33],"parameters":[35],"corresponding":[36],"these":[38,55,100],"via":[40],"inner":[42],"product":[43],"of":[44,54,109,188],"embeddings.":[46],"Undeniably,":[47],"they":[48],"cannot":[49],"direct":[52,135],"interactions":[53],"features,":[56],"which":[57,192],"limits":[58],"model's":[60],"expressive":[61],"power.":[62],"To":[63],"this":[64],"end,":[65],"we":[66,148,178],"first":[67],"present":[68],"MixFM,":[69],"inspired":[70],"by":[71,105,157,164],"Mixup,":[72],"generate":[74,142,170],"auxiliary":[75],"training":[76],"data":[77,102,218],"boost":[79],"FMs.":[80,195],"Unlike":[81],"augmentation":[83],"strategies":[84],"that":[85,139,180,203,215],"require":[86],"labor":[87],"costs":[88],"expertise":[90],"collect":[92],"additional":[93],"information":[94],"such":[95],"as":[96,161],"position":[97],"fields,":[99],"augmented":[101],"convex":[107],"combination":[108],"raw":[111],"ones":[112],"without":[113],"any":[114],"professional":[115],"knowledge":[116],"support.":[117],"More":[118],"importantly,":[119],"if":[120],"exist":[123],"parent":[125],"samples":[126],"be":[128],"mixed":[129,217],"respectively,":[130],"MixFM":[131,140],"will":[132],"establish":[133],"interactions.":[136],"Second,":[137],"considering":[138],"may":[141],"redundant":[143],"or":[144],"even":[145],"detrimental":[146],"instances,":[147],"further":[149],"put":[150],"forward":[151],"a":[152],"novel":[153],"Machine":[155],"powered":[156],"Saliency-guided":[158],"Mixup":[159],"(denoted":[160],"SMFM).":[162],"Guided":[163],"customized":[166],"saliency,":[167],"SMFM":[168],"more":[171],"informative":[172],"neighbor":[173],"Through":[175],"theoretical":[176],"analysis,":[177],"prove":[179],"proposed":[182],"methods":[183],"minimize":[184],"upper":[186],"bound":[187],"generalization":[190],"error,":[191],"positively":[193],"enhances":[194],"Finally,":[196],"extensive":[197],"experiments":[198],"on":[199],"seven":[200],"datasets":[201],"confirm":[202],"our":[204],"approaches":[205],"superior":[207],"baselines.":[209],"Notably,":[210],"results":[212],"also":[213],"show":[214],"\"poisoning\"":[216],"benefits":[219],"FM":[221],"variants.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}