{"id":"https://openalex.org/W4389076429","doi":"https://doi.org/10.1109/tkde.2023.3332929","title":"Spatial-Temporal Interval Aware Individual Future Trajectory Prediction","display_name":"Spatial-Temporal Interval Aware Individual Future Trajectory Prediction","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389076429","doi":"https://doi.org/10.1109/tkde.2023.3332929"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3332929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3332929","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5070435059","display_name":"Yiheng Jiang","orcid":"https://orcid.org/0000-0001-6737-0389"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","Department of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-6737-0389","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045527959","display_name":"Yongjian Yang","orcid":"https://orcid.org/0000-0002-0056-3626"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","Department of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-0056-3626","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056077366","display_name":"Yuanbo Xu","orcid":"https://orcid.org/0000-0001-8370-5011"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","Department of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-8370-5011","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033953325","display_name":"En Wang","orcid":"https://orcid.org/0000-0001-6112-2923"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","Department of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-6112-2923","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering for the Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.25,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98712665,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"10","first_page":"5374","last_page":"5387"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.824021577835083},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.5952228307723999},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5861925482749939},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4977889060974121},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.44783806800842285},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4303799867630005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40601807832717896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3534439206123352},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34211185574531555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32121771574020386},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.13131648302078247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1078512966632843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.824021577835083},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.5952228307723999},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5861925482749939},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4977889060974121},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.44783806800842285},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4303799867630005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40601807832717896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3534439206123352},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34211185574531555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32121771574020386},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.13131648302078247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1078512966632843},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3332929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3332929","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2017921654","https://openalex.org/W2080320419","https://openalex.org/W2087692915","https://openalex.org/W2108920354","https://openalex.org/W2508716390","https://openalex.org/W2510184840","https://openalex.org/W2539781657","https://openalex.org/W2611791389","https://openalex.org/W2734755249","https://openalex.org/W2741249238","https://openalex.org/W2745534091","https://openalex.org/W2783272285","https://openalex.org/W2788997749","https://openalex.org/W2807891923","https://openalex.org/W2809112621","https://openalex.org/W2896457183","https://openalex.org/W2907639449","https://openalex.org/W2963367478","https://openalex.org/W2964052347","https://openalex.org/W2964302946","https://openalex.org/W2980121336","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3012632375","https://openalex.org/W3012907770","https://openalex.org/W3034912136","https://openalex.org/W3040157551","https://openalex.org/W3080292238","https://openalex.org/W3105196786","https://openalex.org/W3105472188","https://openalex.org/W3128267727","https://openalex.org/W3130684690","https://openalex.org/W3155806510","https://openalex.org/W3164797320","https://openalex.org/W3173650575","https://openalex.org/W3174615132","https://openalex.org/W3177183540","https://openalex.org/W4285602503","https://openalex.org/W4289533859","https://openalex.org/W4376277369","https://openalex.org/W4385245566","https://openalex.org/W6632885370","https://openalex.org/W6677852491","https://openalex.org/W6688089849","https://openalex.org/W6692935382","https://openalex.org/W6697714055","https://openalex.org/W6779902714","https://openalex.org/W6793987055","https://openalex.org/W6798107787","https://openalex.org/W6846302023"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W2032260263","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2035891203","https://openalex.org/W4379524643","https://openalex.org/W3031223029","https://openalex.org/W3167704465"],"abstract_inverted_index":{"The":[0],"past":[1],"flourishing":[2],"years":[3],"of":[4,12,198,271,326,343],"sequential":[5,318],"location-based":[6],"services":[7],"began":[8],"with":[9,214,277],"the":[10,13,24,59,63,103,118,123,138,149,158,166,171,178,183,192,196,226,236,324,339],"introduction":[11],"Self-Attention":[14],"Network":[15],"(SAN),":[16],"which":[17,107],"quickly":[18],"superseded":[19],"CNN":[20],"or":[21,33,67],"RNN":[22],"as":[23],"state-of-the-art":[25,317],"backbone.":[26],"Recent":[27],"works":[28],"utilize":[29],"modified":[30],"attention":[31,184],"mechanisms":[32],"neural":[34],"network":[35],"layers":[36,218,270],"to":[37,41,58,92,156,164,191,289,298],"process":[38],"spatial-temporal":[39,100,180,240],"factors":[40],"realize":[42],"fine-grained":[43],"individual":[44],"behavior":[45],"pattern":[46,160],"modeling.":[47],"However,":[48],"we":[49,73,202,251,336],"argue":[50],"these":[51],"methods":[52],"can":[53,142,186,234],"be":[54,143],"further":[55],"improved":[56],"due":[57],"significant":[60],"increase":[61],"in":[62,242],"model's":[64],"parameter":[65],"scale":[66],"computational":[68,115],"burden.":[69],"In":[70],"this":[71,249],"paper,":[72],"first":[74],"exploit":[75],"two":[76],"lightweight":[77],"approaches,":[78],"Rotary":[79],"Time":[80],"Aware":[81,88],"Position":[82],"Encoder":[83],"(RoTAPE)":[84],"and":[85,97,125,137,161,219,275,312,329,341,345,351],"multi-head":[86],"Interval":[87],"Attention":[89],"Block":[90],"(IAAB),":[91],"impel":[93],"SAN":[94,188],"by":[95,146],"efficiently":[96],"effectively":[98],"capturing":[99],"intervals":[101,141,181,230,238],"among":[102],"user's":[104],"visited":[105],"locations,":[106],"require":[108],"neither":[109],"extra":[110],"parameters":[111],"nor":[112],"a":[113,133,204],"high":[114],"cost.":[116],"On":[117,170],"one":[119],"hand,":[120,173],"RoTAPE":[121,344],"encodes":[122],"day-":[124],"hour-level":[126],"timestamps":[127],"into":[128,182,239],"sequence":[129],"representation":[130],"simultaneously":[131],"via":[132],"sinusoidal":[134],"encoding":[135],"matrix,":[136],"corresponding":[139],"time":[140,168,199],"explicitly":[144],"captured":[145],"SAN.":[147],"Specifically,":[148],"multi-level":[150],"temporal":[151],"differences":[152],"are":[153],"mutually":[154],"independent":[155],"reflect":[157],"periodical":[159],"jointly":[162],"complete":[163],"measure":[165],"absolute":[167],"interval.":[169],"other":[172],"IAAB,":[174,328],"point-":[175],"wise":[176],"injecting":[177],"historical":[179,229,237],"map,":[185],"promote":[187],"attaching":[189],"importance":[190],"spatial":[193],"relations":[194,241],"under":[195,332],"constraints":[197],"conditions.":[200],"Then,":[201],"design":[203],"novel":[205],"MLP-based":[206],"module,":[207],"Spatial-Temporal":[208],"Relation":[209],"Memory":[210,331],"(STR":[211],"Memory),":[212],"implemented":[213],"fully":[215],"connected":[216],"linear":[217],"matrix":[220],"transpose":[221],"operations.":[222],"STR":[223,278,330],"Memory,":[224],"endowing":[225],"interactions":[227],"inside":[228],"along":[231],"different":[232],"directions,":[233],"convert":[235],"future":[243],"trajectories":[244],"for":[245],"accurate":[246],"predictions.":[247],"To":[248],"end,":[250],"propose":[252],"an":[253],"end-to-end":[254],"mobility":[255],"trajectory":[256],"prediction":[257],"framework,":[258],"namely":[259],"STiSAN":[260,304],"<inline-formula":[261,305],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[262,306],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[263,307],"notation=\"LaTeX\">$^+$</tex-math></inline-formula>":[264,308],",":[265],"employing":[266],"RoTAPE,":[267,327],"stacking":[268],"multiple":[269],"IAAB-based":[272],"encoder-decoder":[273],"architecture,":[274],"coupling":[276],"Memory.":[279],"We":[280],"conducted":[281],"numerous":[282],"experiments":[283],"on":[284],"six":[285],"public":[286],"LBSN":[287],"datasets":[288],"evaluate":[290],"our":[291,303,333],"proposed":[292],"algorithm.":[293],"From":[294],"Next":[295],"Location":[296],"Recommendation":[297],"Multi-location":[299],"Future":[300],"Trajectory":[301],"Prediction,":[302],"gains":[309],"average":[310],"15.05%":[311],"18.35%":[313],"improvements":[314],"against":[315],"several":[316],"models,":[319],"respectively.":[320],"Ablation":[321],"studies":[322],"demonstrate":[323],"effectiveness":[325],"framework.":[334],"Moreover,":[335],"separately":[337],"validate":[338],"extensibility":[340],"interpretability":[342],"IAAB":[346],"through":[347],"non-sampled":[348],"metric":[349],"evaluation":[350],"visualization.":[352]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":23}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
