{"id":"https://openalex.org/W7202357253","doi":"https://doi.org/10.1109/hpsc69479.2026.00026","title":"Ddg: Domain-Knowledge Distilled Dual-Gating for Event-Driven Stock Prediction","display_name":"Ddg: Domain-Knowledge Distilled Dual-Gating for Event-Driven Stock Prediction","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7202357253","doi":"https://doi.org/10.1109/hpsc69479.2026.00026"},"language":"en","primary_location":{"id":"doi:10.1109/hpsc69479.2026.00026","doi":"https://doi.org/10.1109/hpsc69479.2026.00026","is_oa":true,"landing_page_url":"https://doi.org/10.1109/hpsc69479.2026.00026","pdf_url":null,"source":{"id":"https://openalex.org/S7407086278","display_name":"IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 12th International Conference on High Performance and Smart Computing (HPSC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/hpsc69479.2026.00026","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066877549","display_name":"Tian Gou","orcid":"https://orcid.org/0009-0004-6700-5524","observed_orcids":["https://orcid.org/0009-0004-6700-5524"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Gou","raw_affiliation_strings":["Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005949495","display_name":"Z. C. Sun","orcid":"https://orcid.org/0009-0000-0467-5521","observed_orcids":["https://orcid.org/0009-0000-0467-5521"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenglie Sun","raw_affiliation_strings":["Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147072573","display_name":"Jingqi Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingqi Sun","raw_affiliation_strings":["Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147113321","display_name":"Hanwen Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanwen Wang","raw_affiliation_strings":["Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147065193","display_name":"Yangang Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangang Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049116195","display_name":"Boyao Zhang","orcid":"https://orcid.org/0000-0002-2670-2444","observed_orcids":["https://orcid.org/0000-0002-2670-2444"]},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyao Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}]}],"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":0.56239501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":1.0,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12123","display_name":"Financial Analysis and Corporate Governance","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dual-gating","display_name":"dual gating","score":0.7260000109672546},{"id":"https://openalex.org/keywords/industry-chain","display_name":"industrial chain","score":0.6520000100135803},{"id":"https://openalex.org/keywords/economic-linkages","display_name":"economic linkages","score":0.9900000095367432},{"id":"https://openalex.org/keywords/temporal-priors","display_name":"temporal priors","score":0.7960000038146973},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.6470000147819519},{"id":"https://openalex.org/keywords/financial-time-series","display_name":"financial time series","score":0.3330000042915344}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42160001397132874},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2913999855518341},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2779429693","wikidata":"https://www.wikidata.org/wiki/Q274959","display_name":"Distilled water","level":2,"score":0.2395000010728836},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.23270000517368317},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.19850000739097595},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.19509999454021454},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.19509999454021454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpsc69479.2026.00026","doi":"https://doi.org/10.1109/hpsc69479.2026.00026","is_oa":true,"landing_page_url":"https://doi.org/10.1109/hpsc69479.2026.00026","pdf_url":null,"source":{"id":"https://openalex.org/S7407086278","display_name":"IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 12th International Conference on High Performance and Smart Computing (HPSC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/hpsc69479.2026.00026","doi":"https://doi.org/10.1109/hpsc69479.2026.00026","is_oa":true,"landing_page_url":"https://doi.org/10.1109/hpsc69479.2026.00026","pdf_url":null,"source":{"id":"https://openalex.org/S7407086278","display_name":"IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 12th International Conference on High Performance and Smart Computing (HPSC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W43456956","https://openalex.org/W148329840","https://openalex.org/W761890246","https://openalex.org/W2033910434","https://openalex.org/W2101718392","https://openalex.org/W2109553965","https://openalex.org/W2128778916","https://openalex.org/W2164320228","https://openalex.org/W2175561235","https://openalex.org/W2177464891","https://openalex.org/W2249333166","https://openalex.org/W2401258151","https://openalex.org/W2610886376","https://openalex.org/W2626778328","https://openalex.org/W2758738247","https://openalex.org/W2769274274","https://openalex.org/W2770030227","https://openalex.org/W2791859701","https://openalex.org/W2798413829","https://openalex.org/W2890844091","https://openalex.org/W2892285611","https://openalex.org/W2898654780","https://openalex.org/W2979586175","https://openalex.org/W2999309192","https://openalex.org/W3024673672","https://openalex.org/W3048234700","https://openalex.org/W3096604274","https://openalex.org/W3112066496","https://openalex.org/W3113269512","https://openalex.org/W3121644661","https://openalex.org/W3121664121","https://openalex.org/W3121865372","https://openalex.org/W3122666126","https://openalex.org/W3123842350","https://openalex.org/W3133777397","https://openalex.org/W3166324779","https://openalex.org/W3196836501","https://openalex.org/W4382239610","https://openalex.org/W4385571869","https://openalex.org/W4393160226","https://openalex.org/W4401545746","https://openalex.org/W4402670431","https://openalex.org/W4412939561","https://openalex.org/W4415797765","https://openalex.org/W7133234950"],"related_works":["https://openalex.org/W2789464212","https://openalex.org/W4411638971","https://openalex.org/W7165558969","https://openalex.org/W6922748902","https://openalex.org/W2281227663","https://openalex.org/W3022069277","https://openalex.org/W2321546581","https://openalex.org/W2615271757","https://openalex.org/W7161290030","https://openalex.org/W7055563814"],"abstract_inverted_index":{"External":[0],"event-driven":[1],"stock":[2],"prediction":[3],"is":[4],"difficult":[5],"due":[6],"to":[7,32,37],"low":[8],"signal-to-noise":[9],"ratios,":[10],"sparse":[11],"event-asset":[12,71],"relations,":[13],"and":[14,23,35,44,84,125,132,144],"lagged":[15],"responses.":[16],"Existing":[17],"deep":[18],"models":[19],"usually":[20],"fuse":[21],"text":[22],"price":[24],"series":[25],"in":[26,130],"black-box":[27],"architectures,":[28],"making":[29],"them":[30],"prone":[31],"spurious":[33],"correlations":[34],"unable":[36],"explicitly":[38],"model":[39],"which":[40],"assets":[41],"are":[42,107],"affected":[43],"when":[45],"the":[46,137,141,145],"impact":[47],"appears.":[48],"We":[49],"propose":[50],"DDG,":[51],"a":[52],"domain-informed":[53],"framework":[54],"that":[55],"converts":[56],"empirical":[57],"financial":[58,157],"evidence":[59],"into":[60],"differentiable":[61],"inductive":[62],"biases.":[63],"DDG":[64],"contains":[65],"two":[66,142],"components:":[67],"CRD":[68],"learns":[69,93],"an":[70],"relevance":[72],"gate":[73],"using":[74,96],"structural":[75],"priors":[76,98,106],"derived":[77],"from":[78,100],"LLM-based":[79],"extraction":[80],"of":[81,140,147],"industry":[82],"chains":[83],"economic":[85],"linkages":[86],"under":[87],"strict":[88],"timestamp":[89],"constraints,":[90],"while":[91,152],"TDK":[92],"an$H=5$response":[94],"distribution":[95],"temporal":[97],"summarized":[99],"event-study":[101],"abnormal":[102],"return":[103],"patterns.":[104],"Both":[105],"injected":[108],"only":[109],"during":[110],"training":[111],"through":[112],"soft":[113,149],"regularization,":[114],"introducing":[115],"no":[116],"additional":[117],"dependencies":[118],"at":[119],"inference.":[120],"Experiments":[121],"on":[122],"ACL18,":[123],"CMIN-US,":[124],"CMIN-CN":[126],"show":[127],"consistent":[128,155],"gains":[129],"ACC":[131],"MCC.":[133],"Ablations":[134],"further":[135],"verify":[136],"complementary":[138],"roles":[139],"branches":[143],"effectiveness":[146],"training-phase":[148],"prior":[150],"injection,":[151],"improving":[153],"interpretability":[154],"with":[156],"intuition.":[158]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-14T00:00:00"}
