{"id":"https://openalex.org/W7152386431","doi":"https://doi.org/10.1145/3774904.3792298","title":"KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling","display_name":"KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152386431","doi":"https://doi.org/10.1145/3774904.3792298"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792298","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792298","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792298","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mingming Zhang","orcid":"https://orcid.org/0009-0008-0434-5053"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China and Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-0434-5053","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China and Ant Group, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133284694","display_name":"Pengfei Shi","orcid":"https://orcid.org/0009-0006-0156-0079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengfei Shi","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-0156-0079","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junbo Zhao","orcid":"https://orcid.org/0000-0002-3637-2936"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Zhao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3637-2936","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ningtao Wang","orcid":"https://orcid.org/0009-0005-6577-5047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ningtao Wang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-6577-5047","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133301029","display_name":"Feng Zhao","orcid":"https://orcid.org/0009-0001-2239-2071"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-2239-2071","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133277208","display_name":"Guandong Sun","orcid":"https://orcid.org/0009-0007-4882-9183"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guandong Sun","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-4882-9183","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068558622","display_name":"Yulin Kang","orcid":"https://orcid.org/0000-0002-8150-4854"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yulin Kang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8150-4854","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xing Fu","orcid":"https://orcid.org/0000-0002-3536-2779"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Fu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3536-2779","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiqing Xiao","orcid":"https://orcid.org/0009-0007-4889-644X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Xiao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-4889-644X","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0002-6159-619X"},"institutions":[{"id":"https://openalex.org/I4210135679","display_name":"Antea Group (France)","ror":"https://ror.org/03kfw6k71","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210101086","https://openalex.org/I4210135679"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["Ant Group, Hangzhou, USA"],"raw_orcid":"https://orcid.org/0000-0002-6159-619X","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, USA","institution_ids":["https://openalex.org/I4210135679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133271970","display_name":"Ruizhe Gao","orcid":"https://orcid.org/0009-0007-3690-3147"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruizhe Gao","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-3690-3147","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7091","last_page":"7100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.19280000030994415,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.19280000030994415,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12490","display_name":"Software Engineering and Design Patterns","score":0.08579999953508377,"subfield":{"id":"https://openalex.org/subfields/3303","display_name":"Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.07890000194311142,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/scalability","display_name":"Scalability","score":0.4465999901294708},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.39480000734329224},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3625999987125397},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3467999994754791},{"id":"https://openalex.org/keywords/systems-architecture","display_name":"Systems architecture","score":0.31859999895095825},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.289900004863739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823999881744385},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3467999994754791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29899999499320984},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C100463513","wikidata":"https://www.wikidata.org/wiki/Q5227322","display_name":"Data model (GIS)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792298","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792298","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792298","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792298","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2035186724","https://openalex.org/W2046518304","https://openalex.org/W2125621954","https://openalex.org/W2172246201","https://openalex.org/W2295598076","https://openalex.org/W2899743487","https://openalex.org/W2945020349","https://openalex.org/W3146803896","https://openalex.org/W3164006073","https://openalex.org/W4200630877","https://openalex.org/W4246226690","https://openalex.org/W6964336388"],"related_works":[],"abstract_inverted_index":{"Predictive":[0],"modeling":[1,199],"on":[2,39,140],"web-scale":[3],"tabular":[4,203],"data":[5,179],"presents":[6],"significant":[7],"scalability":[8,44],"challenges":[9],"for":[10,113,198],"industrial":[11,147],"applications,":[12],"often":[13],"involving":[14],"billions":[15,151],"of":[16,20,27,45,152],"instances":[17],"and":[18,34,43,61,144,188],"hundreds":[19],"heterogeneous":[21],"numerical":[22],"features.":[23],"The":[24,99],"inherent":[25],"complexities":[26],"these":[28,135],"features\u2014characterized":[29],"by":[30],"anisotropy,":[31],"heavy-tailed":[32],"distributions,":[33],"non-stationarity\u2014not":[35],"only":[36],"impose":[37],"bottlenecks":[38],"the":[40,97,127,178],"training":[41],"efficiency":[42],"mainstream":[46],"models":[47],"like":[48,172],"Gradient":[49],"Boosting":[50],"Decision":[51],"Trees":[52],"(GBDTs),":[53],"but":[54],"also":[55],"compel":[56],"practitioners":[57],"into":[58],"laborious,":[59],"inefficient,":[60],"expert-dependent":[62],"manual":[63],"feature":[64,116,123],"engineering.":[65],"To":[66],"systematically":[67],"address":[68],"this":[69],"challenge,":[70],"we":[71],"introduce":[72],"KMLP,":[73],"a":[74,82,88,91,186,194],"novel":[75],"hybrid":[76],"deep":[77,190],"architecture.":[78],"KMLP":[79,156,184],"synergistically":[80],"integrates":[81],"shallow":[83],"Kolmogorov-Arnold":[84],"Network":[85],"(KAN)":[86],"as":[87,96,177,185],"front-end":[89,101],"with":[90,150],"Gated":[92],"Multilayer":[93],"Perceptron":[94],"(gMLP)":[95],"backbone.":[98],"KAN":[100],"leverages":[102],"its":[103],"learnable":[104],"activation":[105],"functions":[106],"to":[107],"automatically":[108],"model":[109],"complex":[110],"non-linear":[111],"transformations":[112],"each":[114],"input":[115],"in":[117],"an":[118,145],"end-to-end":[119],"manner,":[120],"thereby":[121],"automating":[122],"representation":[124],"learning.":[125],"Subsequently,":[126],"gMLP":[128],"backbone":[129],"efficiently":[130],"captures":[131],"high-order":[132],"interactions":[133],"among":[134],"refined":[136],"representations.":[137],"Extensive":[138],"experiments":[139],"multiple":[141],"public":[142],"benchmarks":[143],"ultra-large-scale":[146],"web":[148,202],"dataset":[149],"samples":[153],"demonstrate":[154],"that":[155,165],"achieves":[157],"state-of-the-art":[158],"(SOTA)":[159],"performance.":[160],"Crucially,":[161],"our":[162],"findings":[163],"reveal":[164],"KMLP's":[166],"performance":[167],"advantage":[168],"over":[169],"strong":[170],"baselines":[171],"GBDTs":[173],"becomes":[174],"more":[175],"pronounced":[176],"scale":[180],"increases.":[181],"This":[182],"validates":[183],"scalable":[187],"adaptive":[189],"learning":[191],"paradigm,":[192],"offering":[193],"promising":[195],"path":[196],"forward":[197],"large-scale,":[200],"dynamic":[201],"data.":[204]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-10T00:00:00"}
