{"id":"https://openalex.org/W2808113502","doi":"https://doi.org/10.24963/ijcai.2018/446","title":"Trajectory-User Linking via Variational AutoEncoder","display_name":"Trajectory-User Linking via Variational AutoEncoder","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808113502","doi":"https://doi.org/10.24963/ijcai.2018/446","mag":"2808113502"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/446","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/446","pdf_url":"https://www.ijcai.org/proceedings/2018/0446.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0446.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048618271","display_name":"Qiang Gao","orcid":"https://orcid.org/0000-0002-9621-5414"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Gao","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086447943","display_name":"Goce Trajcevski","orcid":"https://orcid.org/0000-0002-8839-6278"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Goce Trajcevski","raw_affiliation_strings":["Iowa State University, Ames"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University, Ames","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014223717","display_name":"Kunpeng Zhang","orcid":"https://orcid.org/0000-0002-1474-3169"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunpeng Zhang","raw_affiliation_strings":["University of Maryland, College park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034789908","display_name":"Ting Zhong","orcid":"https://orcid.org/0000-0002-8163-3146"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhong","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076831677","display_name":"Fengli Zhang","orcid":"https://orcid.org/0000-0003-2300-8817"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Zhang","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":113,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3212","last_page":"3218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9112205505371094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7833784818649292},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6771294474601746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6025545597076416},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6021783351898193},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.522648811340332},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5152595043182373},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4948121905326843},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4650847315788269},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42091408371925354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38189154863357544}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9112205505371094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833784818649292},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6771294474601746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025545597076416},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6021783351898193},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.522648811340332},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5152595043182373},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4948121905326843},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4650847315788269},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42091408371925354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38189154863357544},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/446","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/446","pdf_url":"https://www.ijcai.org/proceedings/2018/0446.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/446","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/446","pdf_url":"https://www.ijcai.org/proceedings/2018/0446.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1383494442","display_name":null,"funder_award_id":"ZYGX2015J072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1611024203","display_name":"CPS: Synergy: Collaborative Research: Mapping and Querying Underground Infrastructure Systems","funder_award_id":"1646107","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1693602316","display_name":"III: Large: Collaborative Research: Moving Objects Databases for Exploration of Virtual and Real Environments","funder_award_id":"1213038","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3001223930","display_name":null,"funder_award_id":"61472064","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4292040920","display_name":null,"funder_award_id":"CNS 1646107","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4531568404","display_name":"\u4e91\u5b58\u50a8\u4e2d\u9690\u79c1\u4fdd\u62a4\u5bc6\u6587\u6570\u636e\u68c0\u7d22\u7b97\u6cd5\u7684\u7814\u7a76","funder_award_id":"61472064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G455074156","display_name":null,"funder_award_id":"No.61502087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5310022367","display_name":null,"funder_award_id":"ZYGX2015J072","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5453742210","display_name":null,"funder_award_id":"61602097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6793254732","display_name":null,"funder_award_id":"61502087","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7147332168","display_name":null,"funder_award_id":"No.61602097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7801762914","display_name":null,"funder_award_id":"No.61472064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7843649663","display_name":null,"funder_award_id":"61502087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7848767230","display_name":null,"funder_award_id":"III 1213038 and CNS 1646107","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7911672437","display_name":null,"funder_award_id":"N00014-14-10215","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G995465189","display_name":null,"funder_award_id":"III 1213038","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808113502.pdf","grobid_xml":"https://content.openalex.org/works/W2808113502.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W592244745","https://openalex.org/W1924770834","https://openalex.org/W1959608418","https://openalex.org/W2064675550","https://openalex.org/W2108501770","https://openalex.org/W2119717200","https://openalex.org/W2126194848","https://openalex.org/W2136317921","https://openalex.org/W2210838531","https://openalex.org/W2267126114","https://openalex.org/W2385600359","https://openalex.org/W2397229659","https://openalex.org/W2399880602","https://openalex.org/W2539781657","https://openalex.org/W2591674338","https://openalex.org/W2593227599","https://openalex.org/W2594538354","https://openalex.org/W2735642330","https://openalex.org/W2741206673","https://openalex.org/W2741267865","https://openalex.org/W2741686395","https://openalex.org/W2743289629","https://openalex.org/W2754087160","https://openalex.org/W2785128315","https://openalex.org/W2949416428","https://openalex.org/W2963223306","https://openalex.org/W2963600562","https://openalex.org/W2963664914","https://openalex.org/W2963858765","https://openalex.org/W2964020599","https://openalex.org/W2964222296","https://openalex.org/W3022187094","https://openalex.org/W4295177495","https://openalex.org/W4320013936","https://openalex.org/W6755811877","https://openalex.org/W6791858558","https://openalex.org/W6803771590","https://openalex.org/W6834709193","https://openalex.org/W6868275021","https://openalex.org/W6868564194"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W2988134182"],"abstract_inverted_index":{"Trajectory-User":[0],"Linking":[1],"(TUL)":[2],"is":[3],"an":[4],"essential":[5],"task":[6],"in":[7,95,108,144,148],"Geo-tagged":[8],"social":[9],"media":[10],"(GTSM)":[11],"applications,":[12],"enabling":[13],"personalized":[14],"Point":[15],"of":[16,56,128],"Interest":[17],"(POI)":[18],"recommendation":[19],"and":[20,68,121,125,141],"activity":[21],"identification.":[22],"Existing":[23],"works":[24],"on":[25],"mining":[26],"mobility":[27,94],"patterns":[28],"often":[29,65],"model":[30],"trajectories":[31,63,129],"using":[32],"Markov":[33],"Chains":[34],"(MC)":[35],"or":[36,48],"recurrent":[37],"neural":[38,97],"networks":[39],"(RNN)":[40],"--":[41],"either":[42],"assuming":[43],"independence":[44],"between":[45],"non-adjacent":[46],"locations":[47],"following":[49],"a":[50,80,96],"shallow":[51],"generation":[52],"process.":[53],"However,":[54],"most":[55],"them":[57],"ignore":[58],"the":[59,76,92,112,123],"fact":[60],"that":[61,104,137],"human":[62,93],"are":[64],"sparse,":[66],"high-dimensional":[67,131],"may":[69],"contain":[70],"embedded":[71],"hierarchical":[72,124],"structures.":[73],"We":[74],"tackle":[75],"TUL":[77],"problem":[78,115],"with":[79,100,130],"semi-supervised":[81],"learning":[82],"framework,":[83],"called":[84],"TULVAE":[85,110,138],"(TUL":[86],"via":[87],"Variational":[88],"AutoEncoder),":[89],"which":[90],"learns":[91],"generative":[98],"architecture":[99],"stochastic":[101],"latent":[102,132],"variables":[103],"span":[105],"hidden":[106],"states":[107],"RNN.":[109],"alleviates":[111],"data":[113,120],"sparsity":[114],"by":[116],"leveraging":[117],"large-scale":[118],"unlabeled":[119],"represents":[122],"structural":[126],"semantics":[127],"variables.":[133],"Our":[134],"experiments":[135],"demonstrate":[136],"improves":[139],"efficiency":[140],"linking":[142],"performance":[143],"real":[145],"GTSM":[146],"datasets,":[147],"comparison":[149],"to":[150],"existing":[151],"methods.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}