{"id":"https://openalex.org/W2963832024","doi":"https://doi.org/10.1145/3292500.3330679","title":"AutoCross","display_name":"AutoCross","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2963832024","doi":"https://doi.org/10.1145/3292500.3330679","mag":"2963832024"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330679","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-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/A5102175763","display_name":"Yuanfei Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuanfei Luo","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023244067","display_name":"Mengshuo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengshuo Wang","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397092","display_name":"Hao Zhou","orcid":"https://orcid.org/0009-0009-3536-7623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Zhou","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072484211","display_name":"Quanming Yao","orcid":"https://orcid.org/0000-0001-8944-8618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quanming Yao","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032604295","display_name":"Wei-Wei Tu","orcid":"https://orcid.org/0000-0002-2407-0252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei-Wei Tu","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046260304","display_name":"Yuqiang Chen","orcid":"https://orcid.org/0000-0002-5543-2500"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqiang Chen","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100527530","display_name":"Wenyuan Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenyuan Dai","raw_affiliation_strings":["4Paradigm Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"4Paradigm Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102175763"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.9458,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.99167378,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1936","last_page":"1945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980000257492065,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9972000122070312,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7893271446228027},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6843379735946655},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.6755271553993225},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6622347831726074},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6563776135444641},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6163122653961182},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5973477959632874},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5124486088752747},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.509919285774231},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47285130620002747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4704916477203369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4678322374820709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4223175644874573},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08991160988807678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893271446228027},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6843379735946655},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.6755271553993225},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6622347831726074},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6563776135444641},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6163122653961182},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5973477959632874},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5124486088752747},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.509919285774231},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47285130620002747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4704916477203369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4678322374820709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4223175644874573},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08991160988807678},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3292500.3330679","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3330679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-99596","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-99596","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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-99596","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-99596","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":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1208489","https://openalex.org/W1547726827","https://openalex.org/W1602011302","https://openalex.org/W1964509623","https://openalex.org/W1970210633","https://openalex.org/W1985759455","https://openalex.org/W2025605741","https://openalex.org/W2064853889","https://openalex.org/W2067650768","https://openalex.org/W2070996757","https://openalex.org/W2082621278","https://openalex.org/W2083780116","https://openalex.org/W2106398669","https://openalex.org/W2135511047","https://openalex.org/W2140190241","https://openalex.org/W2154241802","https://openalex.org/W2161336914","https://openalex.org/W2295985801","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2793768763","https://openalex.org/W2952449615","https://openalex.org/W2963334428","https://openalex.org/W2964182926","https://openalex.org/W2998574808","https://openalex.org/W3031047561","https://openalex.org/W3104030692","https://openalex.org/W3123656117","https://openalex.org/W4234400701","https://openalex.org/W4236372824","https://openalex.org/W4250802407","https://openalex.org/W4256361765"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W4301122218","https://openalex.org/W2374150061","https://openalex.org/W2081340182","https://openalex.org/W2369703001","https://openalex.org/W2372323577","https://openalex.org/W2321432690"],"abstract_inverted_index":{"Feature":[0],"crossing":[1,28],"captures":[2],"interactions":[3],"among":[4],"categorical":[5],"features":[6],"and":[7,74,81,108,120,127,144],"is":[8,60,96,132],"useful":[9],"to":[10,33,40,77,103],"enhance":[11,138],"learning":[12,90],"from":[13,37],"tabular":[14],"data":[15],"in":[16,47,112],"real-world":[17,121],"businesses.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,68],"present":[23],"AutoCross,":[24],"an":[25],"automatic":[26],"feature":[27],"tool":[29],"provided":[30],"by":[31,64],"4Paradigm":[32],"its":[34],"customers,":[35],"ranging":[36],"banks,":[38],"hospitals,":[39],"Internet":[41],"corporations.":[42],"By":[43],"performing":[44],"beam":[45],"search":[46],"a":[48],"tree-structured":[49],"space,":[50],"AutoCross":[51,135],"enables":[52],"efficient":[53],"generation":[54],"of":[55,129,141],"high-order":[56],"cross":[57],"features,":[58],"which":[59],"not":[61],"yet":[62],"visited":[63],"existing":[65],"works.":[66],"Additionally,":[67],"propose":[69],"successive":[70],"mini-batch":[71],"gradient":[72],"descent":[73],"multi-granularity":[75],"discretization":[76],"further":[78],"improve":[79],"efficiency":[80,128],"effectiveness,":[82],"while":[83],"ensuring":[84],"simplicity":[85],"so":[86],"that":[87,134],"no":[88],"machine":[89],"expertise":[91],"or":[92],"tedious":[93],"hyper-parameter":[94],"tuning":[95],"required.":[97],"Furthermore,":[98],"the":[99,105,125,139],"algorithms":[100],"are":[101],"designed":[102],"reduce":[104],"computational,":[106],"transmitting,":[107],"storage":[109],"costs":[110],"involved":[111],"distributed":[113],"computing.":[114],"Experimental":[115],"results":[116],"on":[117],"both":[118,142],"benchmark":[119],"business":[122],"datasets":[123],"demonstrate":[124],"effectiveness":[126],"AutoCross.":[130],"It":[131],"shown":[133],"can":[136],"significantly":[137],"performance":[140],"linear":[143],"deep":[145],"models.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2019-07-30T00:00:00"}