{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T20:17:01Z","timestamp":1783714621319,"version":"3.55.0"},"reference-count":220,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62576083"],"award-info":[{"award-number":["62576083"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62432003"],"award-info":[{"award-number":["62432003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U25A20431"],"award-info":[{"award-number":["U25A20431"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province","doi-asserted-by":"publisher","award":["2024-MSBA-49"],"award-info":[{"award-number":["2024-MSBA-49"]}],"id":[{"id":"10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tkde.2026.3692969","type":"journal-article","created":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T19:59:32Z","timestamp":1778788772000},"page":"4938-4957","source":"Crossref","is-referenced-by-count":1,"title":["Data Augmentation for Sequential Recommendation: A Survey"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7402-4553","authenticated-orcid":false,"given":"Yizhou","family":"Dang","sequence":"first","affiliation":[{"name":"Software College, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5419-5286","authenticated-orcid":false,"given":"Enneng","family":"Yang","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Liu","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1709-5056","authenticated-orcid":false,"given":"Guibing","family":"Guo","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7492-0473","authenticated-orcid":false,"given":"Linying","family":"Jiang","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2856-4716","authenticated-orcid":false,"given":"Xingwei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4492-5075","authenticated-orcid":false,"given":"Jianzhe","family":"Zhao","sequence":"additional","affiliation":[{"name":"Software College, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512111"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615058"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2025.3603087"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282907"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709278"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM65498.2025.00021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-024-01240-z"},{"key":"ref10","article-title":"FedGNN: Federated graph neural network for privacy-preserving recommendation","author":"Wu","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3749284"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-023-01986-4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.97"},{"key":"ref14","article-title":"Image data augmentation for deep learning: A survey","author":"Yang","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.84"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26285"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611809"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00248"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0601-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30164-8_251"},{"key":"ref21","article-title":"How does mixup help with robustness and generalization","volume-title":"Proc. ICLR","author":"Zhang","year":"2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1045"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1670"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482242"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3426723"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33258"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/457"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591624"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16601"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3729994"},{"key":"ref32","article-title":"A survey on data-centric recommender systems","author":"Lai","year":"2024"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3627158"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3746280"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3639063"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3736554"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3356051"},{"key":"ref40","article-title":"Contrastive self-supervised sequential recommendation with robust augmentation","author":"Liu","year":"2021"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539381"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482351"},{"key":"ref43","article-title":"Data augmentation strategies for improving sequential recommender systems","author":"Song","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570411"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3522673"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615498"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645661"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611978032.62"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3343345"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3665325"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28669"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645590"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688051"},{"key":"ref56","first-page":"3300","article-title":"Intent contrastive learning based on multi-view augmentation for sequential recommendation","volume-title":"Proc. COLING","author":"Pei","year":"2025"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3727645"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3701551.3703554"},{"key":"ref59","article-title":"Intent-interest disentanglement and item-aware intent contrastive learning for sequential recommendation","author":"Choi","year":"2025"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33287"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608786"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761014"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761220"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498433"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557071"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557268"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591689"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635815"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3653016"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657839"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730099"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3729943"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730036"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00015"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557266"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512090"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591656"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1281"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635773"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679965"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0192"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1145\/3717833"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2025.104231"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730005"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615007"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688110"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651552"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611978032.63"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-026-02700-w"},{"key":"ref90","article-title":"Intent-enhanced data augmentation for sequential recommendation","author":"Chen","year":"2024"},{"key":"ref91","article-title":"Repeated Padding: Simple yet effective data augmentation plugin for sequential recommendation","author":"Dang","year":"2025"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714676"},{"key":"ref93","article-title":"MARS: Modality-aligned retrieval for sequence augmented CTR Prediction","author":"Xiao","year":"2025"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557317"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557468"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25540"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3324312"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-5615-5_38"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1145\/3604436"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2025.107191"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614976"},{"key":"ref102","article-title":"Denoising multi-modal sequential recommenders with contrastive learning","author":"Yao","year":"2023"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608803"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608790"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657682"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i20.30265"},{"key":"ref107","first-page":"996","article-title":"Modeling user fatigue for sequential recommendation","volume-title":"Proc. SIGIR","author":"Nian","year":"2024"},{"key":"ref108","first-page":"8699","article-title":"FedCSR: A federated framework for multi-platform cross-domain sequential recommendation with dual contrastive learning","volume-title":"Proc. COLING","author":"Zheng","year":"2025"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1145\/3749998"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i18.38543"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1145\/3774904.3792171"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463036"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462855"},{"key":"ref114","article-title":"Sequential recommendation with bidirectional chronological augmentation of transformer","author":"Jiang","year":"2021"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608821"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671841"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3546035"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481905"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3582297"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-emnlp.881"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512147"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/218"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462908"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1145\/3611008"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583479"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0127"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00067"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730101"},{"key":"ref129","article-title":"AsarRec: Adaptive sequential augmentation for robust self-supervised sequential recommendation","author":"Zhang","year":"2025"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1145\/3773966.3778000"},{"key":"ref131","article-title":"Learnable model augmentation self-supervised learning for sequential recommendation","author":"Hao","year":"2022"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3330426"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591727"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3357498"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679803"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615134"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612709"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28736"},{"key":"ref139","article-title":"Diffusion-based contrastive learning for sequential recommendation","author":"Cui","year":"2024"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679655"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1145\/3773966.3777978"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730044"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761396"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i18.38535"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i17.38481"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730010"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00060"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449873"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/jstsp.2026.3653160"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651532"},{"key":"ref151","article-title":"LLMSeR: Enhancing sequential recommendation via LLM-based data augmentation","author":"Sun","year":"2025"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i12.33374"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761427"},{"key":"ref154","article-title":"LLM-I2I: Boost your small Item2Item recommendation model with large language model","author":"Feng","year":"2025"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1145\/3762182"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583263"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1145\/3706633"},{"key":"ref158","article-title":"Data augmentation instead of explicit regularization","author":"Hern\u00e1ndez-Garc\u0131\u00e1","year":"2018"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i18.38544"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i17.38489"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1145\/3796521"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2026.3668240"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00205"},{"key":"ref165","article-title":"Learning partially aligned item representation for cross-domain sequential recommendation","author":"Yin","year":"2024"},{"key":"ref166","article-title":"Mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2018"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610644"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610236"},{"key":"ref169","article-title":"Pay attention to sequence split: Uncovering the impacts of sub-sequence splitting on sequential recommendation models","author":"Dang","year":"2026"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2026.3663633"},{"key":"ref171","article-title":"Can recommender systems teach themselves? A recursive self-improving framework with fidelity control","author":"Zhang","year":"2026"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-92-0263-8_22"},{"key":"ref173","article-title":"ARM: Augment-REINFORCE-merge gradient for stochastic binary networks","author":"Yin","year":"2018"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103154"},{"key":"ref175","article-title":"Auto-encoding variational Bayes","author":"Kingma","year":"2013"},{"key":"ref176","first-page":"904","article-title":"DaRec: A disentangled alignment framework for large language model and recommender system","volume-title":"Proc. IEEE Int. Conf. Data Eng.","author":"Xihong","year":"2025"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00081"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.394"},{"key":"ref179","first-page":"3833","article-title":"Rethinking pre-training and self-training","volume":"33","author":"Zoph","year":"2020","journal-title":"in Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3548160"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00472"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00255"},{"key":"ref183","article-title":"AgentHPO: Large language model agent for hyper-parameter optimization","volume-title":"Proc. Conf. Parsimony Learn.","author":"Liu","year":"2025"},{"key":"ref184","article-title":"OptiMindTune: A multi-agent framework for intelligent hyperparameter optimization","author":"Madiraju","year":"2025"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599769"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475665"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1145\/3670685"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2025.128364"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00033"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1145\/3712001"},{"key":"ref192","first-page":"1528","article-title":"A Kernel theory of modern data augmentation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dao","year":"2019"},{"issue":"245","key":"ref193","first-page":"1","article-title":"A group-theoretic framework for data augmentation","volume":"21","author":"Chen","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref194","article-title":"Negative data augmentation","author":"Sinha","year":"2021"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214048"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1145\/3485766"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2025.3585077"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258220"},{"key":"ref199","article-title":"Predictive models in sequential recommendations: Bridging performance laws with data quality insights","author":"Shen","year":"2024"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-030718-104938"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1145\/3664928"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671786"},{"key":"ref203","first-page":"29935","article-title":"Data augmentation can improve robustness","volume":"34","author":"Rebuffi","year":"2021","journal-title":"in Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583341"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3729917"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680602"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00020"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00359"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00221"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.7287\/peerj.453v0.1\/reviews\/2"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482016"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635814"},{"key":"ref213","article-title":"Coarse-to-fine dynamic uplift modeling for real-time video recommendation","author":"Meng","year":"2024"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680626"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671473"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-017-9539-5"},{"key":"ref217","article-title":"A survey on data security in large language models","author":"Chen","year":"2025"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657828"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657807"},{"key":"ref220","article-title":"A survey of LLM $\\backslash \\times$\u2216\u00d7 data","author":"Zhou","year":"2025"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11591437\/11517208.pdf?arnumber=11517208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T19:40:54Z","timestamp":1783712454000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11517208\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":220,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2026.3692969","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}