{"id":"https://openalex.org/W4406458810","doi":"https://doi.org/10.1109/bigdata62323.2024.10825061","title":"DistDNAS: Search Efficient Feature Interactions within 2 Hours","display_name":"DistDNAS: Search Efficient Feature Interactions within 2 Hours","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458810","doi":"https://doi.org/10.1109/bigdata62323.2024.10825061"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5052236334","display_name":"Tunhou Zhang","orcid":"https://orcid.org/0000-0001-9590-9433"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tunhou Zhang","raw_affiliation_strings":["Duke University,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103026655","display_name":"Wei Wen","orcid":"https://orcid.org/0000-0003-0027-4821"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Wen","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056063665","display_name":"Igor Fedorov","orcid":"https://orcid.org/0000-0002-7235-4823"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Igor Fedorov","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731599","display_name":"Xi Liu","orcid":"https://orcid.org/0000-0003-2336-8417"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Liu","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047533043","display_name":"Buyun Zhang","orcid":"https://orcid.org/0009-0007-9053-4661"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Buyun Zhang","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013081925","display_name":"Fangqiu Han","orcid":"https://orcid.org/0009-0006-0309-7284"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangqiu Han","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032809354","display_name":"Wen-Yen Chen","orcid":"https://orcid.org/0009-0004-9371-5642"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-Yen Chen","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100537435","display_name":"Yiping Han","orcid":"https://orcid.org/0009-0001-1300-1315"},"institutions":[{"id":"https://openalex.org/I3197470489","display_name":"Alpha Omega Alpha Medical Honor Society","ror":"https://ror.org/057q9nn35","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3197470489"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiping Han","raw_affiliation_strings":["Meta AI,Menlo Park,USA"],"affiliations":[{"raw_affiliation_string":"Meta AI,Menlo Park,USA","institution_ids":["https://openalex.org/I3197470489","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381152","display_name":"Feng Yan","orcid":"https://orcid.org/0000-0001-9840-7754"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Yan","raw_affiliation_strings":["University of Houston,Houston,USA"],"affiliations":[{"raw_affiliation_string":"University of Houston,Houston,USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035225490","display_name":"Hai Li","orcid":"https://orcid.org/0000-0001-7668-569X"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hai Li","raw_affiliation_strings":["Duke University,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Duke University,Durham,USA"],"affiliations":[{"raw_affiliation_string":"Duke University,Durham,USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5052236334"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29988898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1492","last_page":"1499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.998199999332428,"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/T11478","display_name":"Caching and Content Delivery","score":0.998199999332428,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9944000244140625,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9886000156402588,"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":0.6496968865394592},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6031545996665955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496968865394592},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6031545996665955},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2066334462","https://openalex.org/W2076618162","https://openalex.org/W2090883204","https://openalex.org/W2126226055","https://openalex.org/W2393319904","https://openalex.org/W2475334473","https://openalex.org/W2547875792","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2621465063","https://openalex.org/W2793768763","https://openalex.org/W2898085636","https://openalex.org/W2947737663","https://openalex.org/W2951104886","https://openalex.org/W2964081807","https://openalex.org/W2964182926","https://openalex.org/W2964341035","https://openalex.org/W2994749257","https://openalex.org/W3035251378","https://openalex.org/W3041360407","https://openalex.org/W3081190557","https://openalex.org/W3093945404","https://openalex.org/W3094801149","https://openalex.org/W3101704389","https://openalex.org/W3104030692","https://openalex.org/W3104506006","https://openalex.org/W3117684406","https://openalex.org/W3133226988","https://openalex.org/W3153687269","https://openalex.org/W3214158304","https://openalex.org/W4226343359","https://openalex.org/W4286895415","https://openalex.org/W4288083766","https://openalex.org/W4313532727","https://openalex.org/W4320908195","https://openalex.org/W4385245566","https://openalex.org/W4400762160","https://openalex.org/W6729448088","https://openalex.org/W6752515464","https://openalex.org/W6755477022","https://openalex.org/W6758657797","https://openalex.org/W6763737044","https://openalex.org/W6767064347","https://openalex.org/W6791492411","https://openalex.org/W6803494295","https://openalex.org/W6804446743","https://openalex.org/W6811378645","https://openalex.org/W6848592146"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Search":[0],"efficiency":[1,4,164],"and":[2,13,54,60,72,86,101,115,133,192],"serving":[3,73,146],"are":[5],"two":[6],"major":[7],"axes":[8],"in":[9,19,70,169],"building":[10],"feature":[11,26,88,167],"interactions":[12,49,168],"expediting":[14],"the":[15,24,37,41,113,117,135,156,163,174],"model":[16],"development":[17],"process":[18],"recommender":[20,64],"systems.":[21],"Searching":[22],"for":[23],"optimal":[25,120],"interaction":[27,89,96,121,160],"design":[28],"on":[29,40,123,180],"large-scale":[30],"benchmarks":[31],"requires":[32],"extensive":[33],"cost":[34,137],"due":[35],"to":[36,67,83,141,154],"sequential":[38],"workflow":[39],"large":[42],"volume":[43],"of":[44,50,98,119,130,158,165],"data.":[45],"In":[46],"addition,":[47],"fusing":[48],"various":[51],"sources,":[52],"orders,":[53],"mathematical":[55],"operations":[56],"introduces":[57,149],"potential":[58],"conflicts":[59],"additional":[61],"redundancy":[62],"toward":[63],"models,":[65],"leading":[66],"sub-optimal":[68],"trade-offs":[69],"performance":[71],"cost.":[74],"This":[75],"paper":[76],"presents":[77],"DistDNAS":[78,91,111,148,179],"as":[79,103],"a":[80,93,104,128,150,181],"neat":[81],"solution":[82],"brew":[84],"swift":[85],"efficient":[87],"design.":[90],"proposes":[92],"supernet":[94],"incorporating":[95],"modules":[97,122],"varying":[99,124],"orders":[100],"types":[102],"search":[105,109,114,136],"space.":[106],"To":[107,144],"optimize":[108,145],"efficiency,":[110,147],"distributes":[112],"aggregates":[116],"choice":[118],"data":[125],"dates,":[126],"achieving":[127],"speed-up":[129],"over":[131,196],"25\u00d7":[132],"reducing":[134],"from":[138],"2":[139,142],"days":[140],"hours.":[143],"differentiable":[151],"cost-aware":[152],"loss":[153],"penalize":[155],"selection":[157],"redundant":[159],"modules,":[161],"enhancing":[162],"discovered":[166],"serving.":[170],"We":[171],"extensively":[172],"evaluate":[173],"best":[175],"models":[176],"crafted":[177],"by":[178],"1TB":[182],"Criteo":[183],"Terabyte":[184],"dataset.":[185],"Experimental":[186],"evaluations":[187],"demonstrate":[188],"0.001":[189],"AUC":[190],"improvement":[191],"60%":[193],"FLOPs":[194],"saving":[195],"current":[197],"state-of-the-art":[198],"CTR":[199],"models.":[200]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}