{"id":"https://openalex.org/W4401857357","doi":"https://doi.org/10.1145/3637528.3671487","title":"RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery","display_name":"RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401857357","doi":"https://doi.org/10.1145/3637528.3671487"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671487","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and 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/A5022275632","display_name":"Chuxu Zhang","orcid":"https://orcid.org/0000-0002-8349-7926"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuxu Zhang","raw_affiliation_strings":["Brandeis University, Waltham, MA, USA"],"affiliations":[{"raw_affiliation_string":"Brandeis University, Waltham, MA, USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068433690","display_name":"Dongkuan Xu","orcid":"https://orcid.org/0000-0002-1456-9658"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongkuan (DK) Xu","raw_affiliation_strings":["North Carolina State University, Raleigh, NC, USA"],"affiliations":[{"raw_affiliation_string":"North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044455276","display_name":"Kaize Ding","orcid":"https://orcid.org/0000-0001-6684-6752"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaize Ding","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jundong Li","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052706169","display_name":"Mojan Javaheripi","orcid":"https://orcid.org/0000-0003-4062-8807"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mojan Javaheripi","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118646350","display_name":"Subhabrata Mukherjee","orcid":"https://orcid.org/0009-0004-6684-4158"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhabrata Mukherjee","raw_affiliation_strings":["Hippocratic AI, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Hippocratic AI, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210094346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068157871","display_name":"Nitesh V. Chawla","orcid":"https://orcid.org/0000-0003-3932-5956"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitesh V. Chawla","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Temp, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Temp, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5022275632"],"corresponding_institution_ids":["https://openalex.org/I6902469"],"apc_list":null,"apc_paid":null,"fwci":0.695,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7518455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6749","last_page":"6750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9447000026702881,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9447000026702881,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9090999960899353,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961268186569214},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5776298642158508},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5194294452667236},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4589693248271942},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44911348819732666},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.37098175287246704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20047113299369812},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07029446959495544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961268186569214},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5776298642158508},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5194294452667236},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4589693248271942},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44911348819732666},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.37098175287246704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20047113299369812},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07029446959495544}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671487","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1601083748","https://openalex.org/W2134290612","https://openalex.org/W2090042797","https://openalex.org/W2053529155","https://openalex.org/W2752023191","https://openalex.org/W93075631","https://openalex.org/W3005434123","https://openalex.org/W4231842067","https://openalex.org/W2076251662"],"abstract_inverted_index":{"Modern":[0],"machine":[1],"learning":[2,103],"techniques,":[3],"particularly":[4],"deep":[5],"learning,":[6],"have":[7],"showcased":[8],"remarkable":[9],"efficacy":[10],"across":[11,76],"numerous":[12],"knowledge":[13],"discovery":[14],"and":[15,52,71,90,140,147],"data":[16,41],"mining":[17],"applications.":[18],"However,":[19],"the":[20,56,107],"advancement":[21],"of":[22,24,55,80,150],"many":[23,35],"these":[25,65],"methods":[26],"is":[27,67,96],"frequently":[28],"impeded":[29],"by":[30,110],"resource":[31,111],"constraint":[32],"challenges":[33,108],"in":[34,47],"scenarios,":[36],"such":[37],"as":[38],"limited":[39],"labeled":[40],"(data-level),":[42],"small":[43],"model":[44],"size":[45],"requirements":[46],"real-world":[48,81],"computing":[49],"platforms":[50],"(model-level),":[51],"efficient":[53,102],"mapping":[54],"computations":[57],"to":[58,100,105,143],"heterogeneous":[59],"target":[60],"hardware":[61],"(system-level).":[62],"Addressing":[63],"all":[64],"factors":[66],"crucial":[68],"for":[69,127,137],"effectively":[70],"efficiently":[72],"deploying":[73],"developed":[74],"models":[75],"a":[77,97,134],"broad":[78],"spectrum":[79],"systems,":[82,89],"including":[83],"large-scale":[84],"social":[85],"network":[86],"analysis,":[87],"recommendation":[88],"real-time":[91],"anomaly":[92],"detection.":[93],"Therefore,":[94],"there":[95],"critical":[98],"need":[99],"develop":[101],"techniques":[104],"address":[106],"posed":[109],"limitations,":[112],"whether":[113],"from":[114],"data,":[115],"model/algorithm,":[116],"or":[117],"system/hardware":[118],"perspectives.":[119],"The":[120],"proposed":[121],"international":[122],"workshop":[123],"on":[124],"\"<u>R</u>esource-<u>E</u>fficient":[125],"<u>L</u>earning":[126],"<u>K</u>nowledge":[128],"<u>D</u>iscovery":[129],"(RelKD":[130],"2024)\"":[131],"will":[132],"provide":[133],"great":[135],"venue":[136],"academic":[138],"researchers":[139],"industrial":[141],"practitioners":[142],"share":[144],"challenges,":[145],"solutions,":[146],"future":[148],"opportunities":[149],"resource-efficient":[151],"learning.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}