{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T21:12:35Z","timestamp":1775596355131,"version":"3.50.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"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":["U21B2048"],"award-info":[{"award-number":["U21B2048"]}],"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":["62302382"],"award-info":[{"award-number":["62302382"]}],"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":["62576224"],"award-info":[{"award-number":["62576224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Shenzhen Key Technical Projects","doi-asserted-by":"publisher","award":["CJGJZD20220517141605013"],"award-info":[{"award-number":["CJGJZD20220517141605013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China Post-Doctoral Science Foundation","award":["2024M752584"],"award-info":[{"award-number":["2024M752584"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/tcsvt.2025.3637903","type":"journal-article","created":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:59:56Z","timestamp":1764269996000},"page":"4842-4857","source":"Crossref","is-referenced-by-count":0,"title":["Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7804-3739","authenticated-orcid":false,"given":"Jizhou","family":"Han","sequence":"first","affiliation":[{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, the National Engineering Research Center for Visual Information and Applications, and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2099-0435","authenticated-orcid":false,"given":"Chenhao","family":"Ding","sequence":"additional","affiliation":[{"name":"College of Software Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6750-1403","authenticated-orcid":false,"given":"Yuhang","family":"He","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, the National Engineering Research Center for Visual Information and Applications, and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7854-3417","authenticated-orcid":false,"given":"Songlin","family":"Dong","sequence":"additional","affiliation":[{"name":"Faculty of Microelectronics, Shenzhen University of Advanced Technology, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0737-2240","authenticated-orcid":false,"given":"Qiang","family":"Wang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, the National Engineering Research Center for Visual Information and Applications, and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyuan","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Software Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1793-5836","authenticated-orcid":false,"given":"Yihong","family":"Gong","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, the National Engineering Research Center for Visual Information and Applications, and the College of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01220"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01377"},{"key":"ref3","article-title":"BiDist: Bi-level distillation for few-shot class-incremental learning","author":"Chen","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01227"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00256"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00884"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02316"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1251.003.0020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/tops.12278"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nn.3515"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhh126"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1301"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref14","first-page":"3987","article-title":"Continual learning through synaptic intelligence","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zenke"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3477951"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref18","first-page":"6467","article-title":"Gradient episodic memory for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Lopez-Paz"},{"key":"ref19","first-page":"350","article-title":"Experience replay for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Rolnick"},{"key":"ref20","article-title":"On tiny episodic memories in continual learning","author":"Chaudhry","year":"2019","journal-title":"arXiv:1902.10486"},{"key":"ref21","first-page":"2994","article-title":"Continual learning with deep generative replay","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Shin"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3382513"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3447066"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3421587"},{"key":"ref25","article-title":"Progressive neural networks","author":"Rusu","year":"2016","journal-title":"arXiv:1606.04671"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref27","first-page":"4548","article-title":"Overcoming catastrophic forgetting with hard attention to the task","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Serra"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73013-9_6"},{"key":"ref29","article-title":"Lifelong learning with dynamically expandable networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Yoon"},{"key":"ref30","first-page":"907","article-title":"Reinforced continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"31","author":"Xu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3502837"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3424302"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3417431"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3344574"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3262739"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3196092"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00673"},{"key":"ref39","article-title":"Incremental few-shot learning via vector quantization in deep embedded space","volume-title":"Proc. Int. Conf. Learn. Representat. (ICLR)","author":"Chen"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3200865"},{"key":"ref42","first-page":"27267","article-title":"Margin-based few-shot class-incremental learning with class-level overfitting mitigation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zou"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00748"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01139"},{"key":"ref45","article-title":"On the soft-subnetwork for few-shot class incremental learning","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kang"},{"key":"ref46","article-title":"Warping the space: Weight space rotation for class-incremental few-shot learning","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kim"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3291054"},{"key":"ref48","article-title":"Neural collapse inspired feature-classifier alignment for few-shot class-incremental learning","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Yang"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19806-9_22"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02717"},{"key":"ref51","first-page":"62964","article-title":"Compositional few-shot class-incremental learning","volume-title":"Proc. 41st Int. Conf. Mach. Learn. (ICML)","author":"Zou"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73030-6_7"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3525545"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3492328"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3350913"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03129-8_3"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0702_3"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2015509117"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"issue":"86","key":"ref61","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 Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/11475579\/11270878.pdf?arnumber=11270878","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T20:04:01Z","timestamp":1775592241000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11270878\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":61,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2025.3637903","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4]]}}}