{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T09:41:08Z","timestamp":1780652468871,"version":"3.54.1"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013064","name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","doi-asserted-by":"publisher","award":["KYCX24_0609"],"award-info":[{"award-number":["KYCX24_0609"]}],"id":[{"id":"10.13039\/501100013064","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation 2030-Key Project of \u201cNew Generation Artificial Intelligence\u201d","award":["2021ZD0113103"],"award-info":[{"award-number":["2021ZD0113103"]}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20232BAB212022"],"award-info":[{"award-number":["20232BAB212022"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012219","name":"Jiangxi Province Key Laboratory of Multidimensional Intelligent Perception and Control of China","doi-asserted-by":"publisher","award":["2024SSY03161"],"award-info":[{"award-number":["2024SSY03161"]}],"id":[{"id":"10.13039\/501100012219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tase.2024.3486203","type":"journal-article","created":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T18:01:48Z","timestamp":1730311308000},"page":"8502-8518","source":"Crossref","is-referenced-by-count":10,"title":["EEGCiD: EEG Condensation Into Diffusion Model"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6106-6121","authenticated-orcid":false,"given":"Junfu","family":"Chen","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-4563","authenticated-orcid":false,"given":"Dechang","family":"Pi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7678-9528","authenticated-orcid":false,"given":"Xiaoyi","family":"Jiang","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2997-7464","authenticated-orcid":false,"given":"Feng","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4365-0148","authenticated-orcid":false,"given":"Bi","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5239-9816","authenticated-orcid":false,"given":"Yang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(02)00057-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3088897"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2911667"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.3021456"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3206330"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2022.3189385"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT49239.2020.9225592"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9191357"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/PST47121.2019.8949062"},{"key":"ref10","first-page":"143","article-title":"On the feasibility of side-channel attacks with brain\u2013computer interfaces","volume-title":"Proc. 21st USENIX Secur. Symp. (USENIX Secur.)","author":"Martinovic"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109347"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s12984-023-01169-w"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206683"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2020.3042574"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3184818"},{"key":"ref16","article-title":"Dataset distillation","author":"Wang","year":"2018","journal-title":"arXiv:1811.10959"},{"key":"ref17","first-page":"1","article-title":"Dataset condensation with gradient matching","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhao"},{"key":"ref18","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00585"},{"key":"ref20","first-page":"11287","article-title":"Score-based generative modeling in latent space","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vahdat"},{"key":"ref21","first-page":"12438","article-title":"Improved techniques for training score-based generative models","volume-title":"Proc. NIPS","volume":"33","author":"Song"},{"key":"ref22","first-page":"1","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Song"},{"key":"ref23","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01117"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3322046"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614844"},{"key":"ref28","first-page":"1","article-title":"DiffWave: A versatile diffusion model for audio synthesis","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kong"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599257"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW60847.2023.00080"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8036864"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73600-6_8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2915621"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512865"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2019.8914492"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3170369"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2023.3288201"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3446374"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IWW-BCI.2018.8311515"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450031"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/INVENTIVE.2016.7824799"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2926965"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3207494"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3274563"},{"key":"ref46","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Nichol"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01036"},{"key":"ref49","first-page":"5186","article-title":"Dataset distillation with infinitely wide convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Nguyen"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01188"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00759"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01045"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00055"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"ref55","first-page":"1","article-title":"Mental emotional sentiment classification with an EEG-based brain-machine interface","volume-title":"Proc. Int. Conf. Digit. Image Signal Process. (DISP\u201919)","author":"Bird"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00645"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/COINS57856.2023.10189244"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.3006180"},{"key":"ref59","article-title":"Differentially private generative adversarial network","author":"Xie","year":"2018","journal-title":"arXiv:1802.06739"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53654.2022.9945517"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"ref62","first-page":"5378","article-title":"Privacy for free: How does dataset condensation help privacy?","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dong"},{"key":"ref63","first-page":"9813","article-title":"Dataset distillation using neural feature regression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Zhou"},{"key":"ref64","article-title":"Data-efficient neural network training with dataset condensation","author":"Zhao","year":"2022"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104106"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"ref68","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8856\/10839176\/10738504.pdf?arnumber=10738504","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T04:44:25Z","timestamp":1743223465000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10738504\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/tase.2024.3486203","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}