{"id":"https://openalex.org/W4285268749","doi":"https://doi.org/10.1109/tkde.2022.3185115","title":"Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting","display_name":"Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285268749","doi":"https://doi.org/10.1109/tkde.2022.3185115"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3185115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3185115","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/A5039265497","display_name":"Longyuan Li","orcid":"https://orcid.org/0000-0003-4172-7532"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Longyuan Li","raw_affiliation_strings":["State Key Lab of Advanced Optical Communication System and Network, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Advanced Optical Communication System and Network, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087158377","display_name":"Junchi Yan","orcid":"https://orcid.org/0000-0001-9639-7679"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junchi Yan","raw_affiliation_strings":["Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102900748","display_name":"Yunhao Zhang","orcid":"https://orcid.org/0000-0003-3575-1122"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101751726","display_name":"Jihai Zhang","orcid":"https://orcid.org/0000-0003-4242-5341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihai Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024848448","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0002-6774-9863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Bao","raw_affiliation_strings":["Shanghai Weidi Information Technology Co. Ltd., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Weidi Information Technology Co. Ltd., Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049511682","display_name":"Yaohui Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohui Jin","raw_affiliation_strings":["State Key Lab of Advanced Optical Communication System and Network, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Advanced Optical Communication System and Network, MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039265497"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.7848,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8456093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980000257492065,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980000257492065,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8261028528213501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8067061901092529},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6437368392944336},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.613006055355072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5842605233192444},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5384374260902405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5247499942779541},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4644691050052643},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42549777030944824},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41953346133232117},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.418449729681015},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3785093426704407}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8261028528213501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067061901092529},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6437368392944336},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.613006055355072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5842605233192444},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5384374260902405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5247499942779541},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4644691050052643},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42549777030944824},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41953346133232117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.418449729681015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3785093426704407},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3185115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3185115","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":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1978429096","display_name":null,"funder_award_id":"U19B2035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3359817731","display_name":null,"funder_award_id":"61972250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6341294658","display_name":null,"funder_award_id":"72061127003","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":101,"referenced_works":["https://openalex.org/W628731042","https://openalex.org/W1594866779","https://openalex.org/W1959608418","https://openalex.org/W2017377889","https://openalex.org/W2019887055","https://openalex.org/W2028944227","https://openalex.org/W2035632263","https://openalex.org/W2038819732","https://openalex.org/W2069849731","https://openalex.org/W2074991364","https://openalex.org/W2088095316","https://openalex.org/W2124689612","https://openalex.org/W2132782512","https://openalex.org/W2168175751","https://openalex.org/W2396881363","https://openalex.org/W2509830164","https://openalex.org/W2528047932","https://openalex.org/W2560231143","https://openalex.org/W2603648311","https://openalex.org/W2604401003","https://openalex.org/W2604792366","https://openalex.org/W2605191235","https://openalex.org/W2742491462","https://openalex.org/W2745238137","https://openalex.org/W2753919178","https://openalex.org/W2773625660","https://openalex.org/W2788849864","https://openalex.org/W2789172526","https://openalex.org/W2793483732","https://openalex.org/W2808800115","https://openalex.org/W2894845372","https://openalex.org/W2895363383","https://openalex.org/W2899771611","https://openalex.org/W2904751523","https://openalex.org/W2914034186","https://openalex.org/W2915966351","https://openalex.org/W2945524222","https://openalex.org/W2947626232","https://openalex.org/W2947722222","https://openalex.org/W2949377321","https://openalex.org/W2949468773","https://openalex.org/W2954512644","https://openalex.org/W2958796454","https://openalex.org/W2962718388","https://openalex.org/W2963842982","https://openalex.org/W2964253689","https://openalex.org/W2964669873","https://openalex.org/W2966493540","https://openalex.org/W2970891497","https://openalex.org/W2977606681","https://openalex.org/W2980994438","https://openalex.org/W2999318011","https://openalex.org/W3000630830","https://openalex.org/W3034938233","https://openalex.org/W3082548640","https://openalex.org/W3092866682","https://openalex.org/W3105445034","https://openalex.org/W3112335585","https://openalex.org/W3122471732","https://openalex.org/W3147894994","https://openalex.org/W3171884590","https://openalex.org/W3175600543","https://openalex.org/W4213041519","https://openalex.org/W4214533690","https://openalex.org/W4230410911","https://openalex.org/W4244548826","https://openalex.org/W4252475223","https://openalex.org/W4288083420","https://openalex.org/W4292483811","https://openalex.org/W4294102323","https://openalex.org/W4299551643","https://openalex.org/W4300672471","https://openalex.org/W4385245566","https://openalex.org/W6640963894","https://openalex.org/W6675448251","https://openalex.org/W6679436768","https://openalex.org/W6685145238","https://openalex.org/W6687045409","https://openalex.org/W6731714541","https://openalex.org/W6732261332","https://openalex.org/W6735826779","https://openalex.org/W6738351041","https://openalex.org/W6739901393","https://openalex.org/W6740952796","https://openalex.org/W6746729860","https://openalex.org/W6747604542","https://openalex.org/W6751628313","https://openalex.org/W6752307458","https://openalex.org/W6754779804","https://openalex.org/W6756040250","https://openalex.org/W6756831654","https://openalex.org/W6762981976","https://openalex.org/W6763045174","https://openalex.org/W6764679822","https://openalex.org/W6764798969","https://openalex.org/W6765671628","https://openalex.org/W6765787381","https://openalex.org/W6766065261","https://openalex.org/W6767610075","https://openalex.org/W6774057418","https://openalex.org/W7015881123"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4311431240","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W2768320620"],"abstract_inverted_index":{"Time-series":[0],"and":[1,13,82,87,99,121,157,179],"event":[2,88,131,180],"sequences":[3],"are":[4],"widely":[5],"collected":[6],"data":[7,18,57,159],"types":[8,55],"in":[9,23,115],"real-world":[10],"applications.":[11],"Modeling":[12],"forecasting":[14,83,174],"of":[15,31,47,56,65,84,130,146,176],"such":[16],"temporal":[17,117],"play":[19],"an":[20,24,134],"important":[21],"role":[22],"informed":[25],"decision-making":[26],"process.":[27],"A":[28],"major":[29],"limitation":[30],"previous":[32],"methods":[33],"is":[34],"that":[35,162],"they":[36],"either":[37],"focus":[38],"on":[39,142,155],"time-series":[40,86,178],"or":[41],"events,":[42],"rather":[43],"than":[44],"the":[45,48,53,63,68,75,113,128,143],"combination":[46],"two":[49,54],"worlds.":[50],"In":[51,70],"fact,":[52],"often":[58],"provide":[59],"complementary":[60],"information,":[61],"emphasizing":[62],"necessity":[64],"jointly":[66],"modeling":[67,81],"both.":[69],"this":[71],"paper,":[72],"we":[73,106,138],"propose":[74],"RNN-ODE":[76],"collaborative":[77],"model":[78,141],"for":[79,102],"joint":[80],"heterogeneous":[85],"sequence":[89],"data,":[90],"which":[91],"combines":[92],"several":[93],"useful":[94],"techniques":[95],"from":[96],"both":[97,177],"Bayesian":[98],"deep":[100,116],"learning":[101],"its":[103],"interpretability.":[104],"Specifically,":[105],"devise":[107],"a":[108],"tailored":[109],"encoder":[110],"to":[111],"combine":[112],"advances":[114],"point":[118],"processes":[119],"models":[120],"variational":[122],"recurrent":[123],"neural":[124],"networks.":[125],"To":[126],"predict":[127],"probability":[129],"occurrence":[132],"over":[133],"arbitrary":[135],"continuous-time":[136],"horizon,":[137],"base":[139],"our":[140,167],"mathematical":[144],"foundation":[145],"Neural":[147],"Ordinary":[148],"Differential":[149],"Equations":[150],"(NODE).":[151],"Extensive":[152],"experimental":[153],"results":[154],"simulations":[156],"real":[158],"sets":[160],"show":[161],"compared":[163],"with":[164],"existing":[165],"methods,":[166],"integrated":[168],"approach":[169],"can":[170],"achieve":[171],"more":[172],"competitive":[173],"performance":[175],"sequences.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
