Brain-Inspired Learning All Years 20272026 All Pub. Types Conference PaperJournal ArticlePreprint All Venues arXivICLRPR All Tags Brain-Inspired LearningContinual LearningHighlightsSkeleton-based Action Recognition All CCF CCF ACCF B All CORE CORE A* All JCR JCR Q1 All Co-Authors Chunyan LanFrederick W. B. LiGuanglong SunHongwei YanHubert P. H. ShumJun ZhouLiyuan WangQi ChengQian LiRuizhi CaiWeiyi DongXiaohui LiangYi Zhong Clear Statistics Export 2027 NeuroPath: Brain-Inspired Dual-Pathway Graph Convolutional Networks for Skeleton-Based Action Recognition Skeleton-based action recognition aims to recognize human actions from sequences of human joint coordinates. Most existing … Kanglei Zhou, Ruizhi Cai, Hubert P. H. Shum, Frederick W. B. Li, Xiaohui Liang Posted Aug 18, 2026 Journal Article PR IF 9.1 (Q1) CCF B Cite PDF DOI arXiv 2026 FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning General continual learning (GCL) challenges intelligent systems to learn from single-pass, non-stationary data streams without clear … Hongwei Yan, Guanglong Sun, Kanglei Zhou, Qian Li, Liyuan Wang, Yi Zhong Posted Jan 21, 2026 Conference Paper ICLR Core A* CCF A Cite PDF GitHub arXiv OpenReview Brain-Inspired Hierarchical Modularity for General Continual Learning Continual learning, the ability to learn from sequential experience while retaining and adapting prior knowledge, is central to … Hongwei Yan, Kanglei Zhou, Qi Cheng, Weiyi Dong, Chunyan Lan, Guanglong Sun, Jun Zhou, Qian Li, Yi Zhong, Liyuan Wang Posted Sep 21, 2026 Preprint / Working Paper arXiv Cite PDF arXiv
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