{"id":"https://openalex.org/W4410538502","doi":"https://doi.org/10.14778/3717755.3717762","title":"Revisiting CNNs for Trajectory Similarity Learning","display_name":"Revisiting CNNs for Trajectory Similarity Learning","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4410538502","doi":"https://doi.org/10.14778/3717755.3717762"},"language":"en","primary_location":{"id":"doi:10.14778/3717755.3717762","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3717755.3717762","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","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/A5071328994","display_name":"Zhihao Chang","orcid":"https://orcid.org/0000-0003-0194-6693"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihao Chang","raw_affiliation_strings":["School of Software Technology, Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085979284","display_name":"Linzhu Yu","orcid":"https://orcid.org/0000-0002-1063-3990"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linzhu Yu","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319239","display_name":"Huan Li","orcid":"https://orcid.org/0000-0003-0084-1662"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["Hangzhou High-Tech Zone (Binjiang), Institute of Blockchain and Data Security and Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou High-Tech Zone (Binjiang), Institute of Blockchain and Data Security and Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064646829","display_name":"Sai Wu","orcid":"https://orcid.org/0000-0002-1866-9197"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Wu","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389224","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0001-7457-4486"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011200911","display_name":"Dongxiang Zhang","orcid":"https://orcid.org/0000-0002-9964-2470"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiang Zhang","raw_affiliation_strings":["Hangzhou High-Tech Zone (Binjiang), Institute of Blockchain and Data Security and Zhejiang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou High-Tech Zone (Binjiang), Institute of Blockchain and Data Security and Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071328994"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60258996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":"4","first_page":"1013","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7168242931365967},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6355445384979248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5256686806678772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.485173761844635},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18231049180030823}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7168242931365967},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6355445384979248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5256686806678772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.485173761844635},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18231049180030823},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3717755.3717762","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3717755.3717762","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"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":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1531910981","https://openalex.org/W1567097384","https://openalex.org/W1864972570","https://openalex.org/W1995487411","https://openalex.org/W2064675550","https://openalex.org/W2106053110","https://openalex.org/W2118371392","https://openalex.org/W2124299914","https://openalex.org/W2147880780","https://openalex.org/W2155295407","https://openalex.org/W2167225252","https://openalex.org/W2751600782","https://openalex.org/W2788937720","https://openalex.org/W2789485833","https://openalex.org/W2795016801","https://openalex.org/W2952493731","https://openalex.org/W3034526875","https://openalex.org/W3116657254","https://openalex.org/W3167652394","https://openalex.org/W3170317974","https://openalex.org/W3173572290","https://openalex.org/W3193053432","https://openalex.org/W3199795887","https://openalex.org/W4206397113","https://openalex.org/W4289533834","https://openalex.org/W4290945198","https://openalex.org/W4296666858","https://openalex.org/W4317502107","https://openalex.org/W4386591590","https://openalex.org/W4393158238"],"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/W4323768008"],"abstract_inverted_index":{"Similarity":[0],"search":[1,48],"is":[2,40],"a":[3,43,110,141],"fundamental":[4],"but":[5],"expensive":[6],"operator":[7],"in":[8,88,165],"querying":[9],"trajectory":[10,39,57,83,116,166],"data,":[11,58],"due":[12],"to":[13,65,91,128,146,170],"its":[14],"quadratic":[15],"complexity":[16],"of":[17,56,68,81,106,112,134,143,150,175],"distance":[18],"computation.":[19],"To":[20],"mitigate":[21],"the":[22,53,66,78,103,148,171,177,183],"computational":[23],"burden":[24],"for":[25,34,46,115],"long":[26],"trajectories,":[27,135],"neural":[28],"networks":[29],"have":[30,61],"been":[31,62],"widely":[32],"employed":[33],"similarity":[35,47,117,167],"learning":[36],"and":[37,125,131,179,196],"each":[38],"encoded":[41],"as":[42,84],"high-dimensional":[44],"vector":[45],"with":[49,186],"linear":[50],"complexity.":[51],"Given":[52],"sequential":[54,85,130],"nature":[55],"previous":[59],"efforts":[60],"primarily":[63],"devoted":[64],"utilization":[67],"RNNs":[69],"or":[70],"Transformers.":[71],"In":[72,137],"this":[73],"paper,":[74],"we":[75,139],"argue":[76],"that":[77,160],"common":[79],"practice":[80],"treating":[82],"data":[86],"results":[87,153],"excessive":[89],"attention":[90],"capturing":[92],"long-term":[93],"global":[94],"dependency":[95],"between":[96],"two":[97],"sequences.":[98],"Instead,":[99],"our":[100],"investigation":[101],"reveals":[102],"pivotal":[104],"role":[105],"local":[107],"similarity,":[108],"prompting":[109],"revisit":[111],"simple":[113,172],"CNNs":[114],"learning.":[118],"We":[119],"introduce":[120],"ConvTraj,":[121,176],"incorporating":[122],"both":[123],"1D":[124],"2D":[126],"convolutions":[127],"capture":[129],"geo-distribution":[132],"features":[133],"respectively.":[136,198],"addition,":[138],"conduct":[140],"series":[142],"theoretical":[144],"analyses":[145],"justify":[147],"effectiveness":[149],"ConvTraj.":[151],"Experimental":[152],"on":[154,182],"four":[155],"real-world":[156],"large-scale":[157],"datasets":[158],"demonstrate":[159],"ConvTraj":[161],"achieves":[162],"state-of-the-art":[163],"accuracy":[164],"search.":[168],"Owing":[169],"network":[173],"structure":[174],"training":[178],"inference":[180],"speed":[181],"Porto":[184],"dataset":[185],"1.6":[187],"million":[188],"trajectories":[189],"are":[190],"increased":[191],"by":[192],"at":[193],"least":[194],"240x":[195],"2.16x,":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}