{"id":"https://openalex.org/W7125908222","doi":"https://doi.org/10.1145/3793856","title":"TUL-IB: Enhancing Explainability in Trajectory User Linking with Information Bottleneck","display_name":"TUL-IB: Enhancing Explainability in Trajectory User Linking with Information Bottleneck","publication_year":2026,"publication_date":"2026-01-28","ids":{"openalex":"https://openalex.org/W7125908222","doi":"https://doi.org/10.1145/3793856"},"language":"en","primary_location":{"id":"doi:10.1145/3793856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3793856","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5081130877","display_name":"Mengyuan Li","orcid":"https://orcid.org/0000-0001-5519-7689"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Li","raw_affiliation_strings":["Center for Applied Statistics, School of Statistics, Innovation Platform, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5519-7689","affiliations":[{"raw_affiliation_string":"Center for Applied Statistics, School of Statistics, Innovation Platform, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109582199","display_name":"Kaiqi Zhao","orcid":"https://orcid.org/0000-0002-0984-1629"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Zhao","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0984-1629","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103184515","display_name":"Jun Zhu","orcid":"https://orcid.org/0009-0007-6049-3280"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["Center for Applied Statistics, School of Statistics, Innovation Platform, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-6049-3280","affiliations":[{"raw_affiliation_string":"Center for Applied Statistics, School of Statistics, Innovation Platform, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123227241","display_name":"Xiaoling Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Lu","raw_affiliation_strings":["Center for Applied Statistics, School of Statistics, Innovation Platform, Renmin University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1854-2532","affiliations":[{"raw_affiliation_string":"Center for Applied Statistics, School of Statistics, Innovation Platform, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414639","display_name":"Yuanyuan Zhang","orcid":"https://orcid.org/0009-0000-2320-0169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhang","raw_affiliation_strings":["Beijing Baixingkefu Network Technology Co., Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-2320-0169","affiliations":[{"raw_affiliation_string":"Beijing Baixingkefu Network Technology Co., Ltd., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100297913","display_name":"Yalei Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yalei Du","raw_affiliation_strings":["Beijing Baixingkefu Network Technology Co., Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-7491-8163","affiliations":[{"raw_affiliation_string":"Beijing Baixingkefu Network Technology Co., Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09959211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"3","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.6200000047683716,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.6200000047683716,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.0885000005364418,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.07050000131130219,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/trajectory","display_name":"Trajectory","score":0.7584999799728394},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7580999732017517},{"id":"https://openalex.org/keywords/waypoint","display_name":"Waypoint","score":0.6761000156402588},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5371999740600586},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.5120999813079834},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.5094000101089478},{"id":"https://openalex.org/keywords/trajectory-optimization","display_name":"Trajectory optimization","score":0.49059998989105225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591000199317932},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7584999799728394},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7580999732017517},{"id":"https://openalex.org/C2781271823","wikidata":"https://www.wikidata.org/wiki/Q138081","display_name":"Waypoint","level":2,"score":0.6761000156402588},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.5120999813079834},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.5094000101089478},{"id":"https://openalex.org/C173246807","wikidata":"https://www.wikidata.org/wiki/Q7833062","display_name":"Trajectory optimization","level":3,"score":0.49059998989105225},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30140000581741333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3793856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3793856","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1321730271","display_name":null,"funder_award_id":"72171229","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2071702404","https://openalex.org/W2144499799","https://openalex.org/W2170166043","https://openalex.org/W2741206673","https://openalex.org/W2768256553","https://openalex.org/W2808113502","https://openalex.org/W2917322567","https://openalex.org/W2972810968","https://openalex.org/W2998991762","https://openalex.org/W4206972921","https://openalex.org/W4225977739","https://openalex.org/W4306316985","https://openalex.org/W4306928144","https://openalex.org/W4311651014","https://openalex.org/W4312347724","https://openalex.org/W4321485355","https://openalex.org/W4385070828","https://openalex.org/W4391853581"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"trajectory":[1,12,88,109,143,181],"modeling":[2],"has":[3],"garnered":[4],"significant":[5],"attention":[6],"across":[7],"various":[8],"applications,":[9],"particularly":[10],"in":[11,116,147],"user":[13],"linking":[14],"(TUL),":[15],"which":[16,94,129],"aims":[17],"to":[18,52,69,83,133,141,158],"associate":[19],"trajectories":[20,154],"with":[21,65],"specific":[22],"users":[23],"by":[24],"analyzing":[25],"complex":[26],"mobility":[27],"patterns.":[28],"Despite":[29],"its":[30],"advancements,":[31],"the":[32,54,71,134,160],"lack":[33],"of":[34,56,87],"explainability":[35,55],"remains":[36],"a":[37,45,99],"critical":[38],"challenge.":[39],"In":[40],"this":[41],"article,":[42],"we":[43,95,119,130],"propose":[44],"general":[46],"Information":[47],"Bottleneck":[48],"framework,":[49],"TUL-IB,":[50],"designed":[51],"enhance":[53],"TUL":[57],"models":[58],"for":[59,93,128],"both":[60,104],"sequence":[61],"and":[62,108,138],"graph":[63,135,144],"data,":[64],"tractable":[66],"optimization":[67],"bounds":[68],"solve":[70],"TUL-IB":[72,78,97,132],"objective.":[73],"We":[74],"further":[75],"demonstrate":[76,169],"that":[77,155,170],"can":[79],"be":[80],"effectively":[81],"applied":[82],"two":[84],"distinct":[85],"types":[86],"data:":[89],"(1)":[90],"waypoint":[91],"trajectories,":[92,127],"extend":[96],"into":[98,180],"dual-view":[100],"approach,":[101],"TUL-DV-IB,":[102],"integrating":[103],"driving":[105],"behavior":[106],"sequences":[107],"road":[110],"graphs.":[111],"To":[112],"ensure":[113],"temporal":[114],"continuity":[115],"subsequence":[117],"selection,":[118],"employ":[120],"dynamic":[121],"programming":[122],"during":[123],"post-processing;":[124],"(2)":[125],"staypoint":[126],"adapt":[131],"node":[136],"level":[137],"apply":[139],"it":[140],"global":[142],"model,":[145],"resulting":[146],"TUL-GTG-IB.":[148],"This":[149],"adaptation":[150],"identifies":[151],"key":[152],"neighboring":[153],"significantly":[156],"contribute":[157],"explaining":[159],"user-linking":[161,182],"results.":[162],"Experimental":[163],"results":[164],"on":[165],"three":[166],"real-world":[167],"datasets":[168],"our":[171],"method":[172],"outperforms":[173],"existing":[174],"explainable":[175],"approaches,":[176],"providing":[177],"deeper":[178],"insights":[179],"models.":[183]},"counts_by_year":[],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2026-01-29T00:00:00"}
