{"id":"https://openalex.org/W4412877218","doi":"https://doi.org/10.1145/3711896.3736886","title":"Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization","display_name":"Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877218","doi":"https://doi.org/10.1145/3711896.3736886"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736886","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736886","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736886","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736886","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058426743","display_name":"Jianwen Sun","orcid":"https://orcid.org/0000-0002-0951-1072"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianwen Sun","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026054637","display_name":"Qirong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirong Chen","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085496384","display_name":"Zhenya Huang","orcid":"https://orcid.org/0000-0003-1661-0420"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenya Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067786139","display_name":"Zhihai Hu","orcid":"https://orcid.org/0009-0002-0605-1194"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihai Hu","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013955296","display_name":"Ruxia Liang","orcid":"https://orcid.org/0000-0003-3262-3088"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruxia Liang","raw_affiliation_strings":["School of Computer Science, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074111945","display_name":"Xiaoxuan Shen","orcid":"https://orcid.org/0000-0002-6663-5821"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Shen","raw_affiliation_strings":["Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058426743"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15364908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2735","last_page":"2746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7555082440376282},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6765053272247314},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.6656635999679565},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.577784538269043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4880012571811676},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44875890016555786},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.44071394205093384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3718159794807434},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.1797124147415161},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09418967366218567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0910765528678894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555082440376282},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6765053272247314},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.6656635999679565},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.577784538269043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4880012571811676},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44875890016555786},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.44071394205093384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3718159794807434},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.1797124147415161},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09418967366218567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0910765528678894},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736886","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736886","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736886","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736886","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736886","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736886","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1146368105","display_name":null,"funder_award_id":"2023AFA020","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1661763918","display_name":null,"funder_award_id":"62293554","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3332081033","display_name":null,"funder_award_id":"2022ZD011710","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4005546462","display_name":null,"funder_award_id":"2022ZD0117103","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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"},{"id":"https://openalex.org/F4320321174","display_name":"Housing and Building National Research Center","ror":"https://ror.org/03562m240"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320323173","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877218.pdf","grobid_xml":"https://content.openalex.org/works/W4412877218.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1976895497","https://openalex.org/W2040882980","https://openalex.org/W2064675550","https://openalex.org/W2111645292","https://openalex.org/W2130642192","https://openalex.org/W2514897959","https://openalex.org/W2899283552","https://openalex.org/W2913933519","https://openalex.org/W3184908771","https://openalex.org/W4224436784","https://openalex.org/W4249145587","https://openalex.org/W4288039037","https://openalex.org/W4295808856","https://openalex.org/W4307359761","https://openalex.org/W4321442061","https://openalex.org/W4324296987","https://openalex.org/W4382318135","https://openalex.org/W4387807824","https://openalex.org/W4395114706","https://openalex.org/W4396758684","https://openalex.org/W6600137863"],"related_works":["https://openalex.org/W2372415543","https://openalex.org/W2354205711","https://openalex.org/W2808717917","https://openalex.org/W2377292223","https://openalex.org/W2366584243","https://openalex.org/W2376563992","https://openalex.org/W2360006733","https://openalex.org/W75036202","https://openalex.org/W4304590249","https://openalex.org/W2366368367"],"abstract_inverted_index":{"Memory":[0],"behavior":[1,59,238],"modeling":[2,60],"is":[3,61,109,199,215,271],"a":[4,67,104,149,154,212],"key":[5],"topic":[6],"in":[7,30,52,58,93,148,245],"cognitive":[8,44],"psychology":[9],"and":[10,27,96,132,145,181,188,207,227],"education.":[11],"Traditional":[12],"approaches":[13],"use":[14,57],"experimental":[15],"data":[16,198,225],"to":[17,81,111,201,221],"build":[18],"memory":[19,76,102,122,237,261],"equations,":[20,103,123,262],"but":[21,39],"these":[22],"models":[23],"often":[24],"lack":[25],"precision":[26],"are":[28],"debated":[29],"form.":[31],"Recently,":[32],"data-driven":[33],"methods":[34,180,244],"have":[35,50],"improved":[36],"predictive":[37,246],"accuracy":[38,256],"struggle":[40],"with":[41,153],"interpretability,":[42],"limiting":[43],"insights.":[45],"Although":[46],"knowledge-informed":[47],"neural":[48,83,134,146,189,219],"networks":[49,147],"succeeded":[51],"fields":[53],"like":[54],"physics,":[55],"their":[56],"still":[62],"limited.":[63],"This":[64],"paper":[65],"proposes":[66],"Self-evolving":[68],"Psychology-informed":[69],"Neural":[70],"Network":[71],"(SPsyINN),":[72],"which":[73],"leverages":[74],"classical":[75,101,121],"equations":[77],"as":[78,90],"knowledge":[79,130,162],"modules":[80,206],"constrain":[82],"network":[84,135,220],"training.":[85],"To":[86],"address":[87],"challenges":[88],"such":[89],"the":[91,97,125,129,133,138,165,171,177,218,251],"difficulty":[92],"quantifying":[94],"descriptors":[95],"limited":[98],"interpretability":[99],"of":[100,128,185],"genetic":[105,142,186],"symbolic":[106,143],"regression":[107,144],"algorithm":[108],"introduced":[110],"conduct":[112],"evolutionary":[113],"searches":[114],"for":[115,169,266],"more":[116,259],"optimal":[117],"expressions":[118],"based":[119],"on":[120,233],"enabling":[124],"mutual":[126],"progress":[127],"module":[131,214],"module.":[136],"Specifically,":[137],"proposed":[139],"approach":[140],"combines":[141],"parallel":[150],"training":[151,172],"framework,":[152],"dynamic":[155],"joint":[156],"optimization":[157,179,209],"loss":[158],"function":[159],"ensuring":[160],"effective":[161,203],"alignment":[163],"between":[164,205],"two":[166],"modules.":[167],"Then,":[168],"addressing":[170],"efficiency":[173],"differences":[174],"arising":[175],"from":[176],"distinct":[178],"computational":[182],"hardware":[183],"requirements":[184],"algorithms":[187],"networks,":[190],"an":[191],"asynchronous":[192],"interaction":[193],"mechanism":[194],"mediated":[195],"by":[196],"proxy":[197],"developed":[200],"facilitate":[202],"communication":[204],"improve":[208,228],"efficiency.":[210],"Finally,":[211],"denoising":[213],"integrated":[216],"into":[217],"enhance":[222],"robustness":[223],"against":[224],"noise":[226],"generalization":[229],"performance.":[230],"Experimental":[231],"results":[232],"five":[234],"large-scale":[235],"real-world":[236],"demonstrate":[239],"that":[240],"SPsyINN":[241],"outperforms":[242],"state-of-the-art":[243],"accuracy.":[247],"Ablation":[248],"studies":[249],"confirm":[250],"model's":[252],"co-evolution":[253],"capability,":[254],"improving":[255],"while":[257],"discovering":[258],"interpretable":[260],"showing":[263],"its":[264],"potential":[265],"psychological":[267],"research.":[268],"Our":[269],"code":[270],"released":[272],"at:":[273],"https://github.com/JiaqiDijon/SPsyINN":[274]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}