Preprint All Years 2026 All Pub. Types Preprint All Venues arXiv All Tags Brain-Inspired LearningContinual LearningContrastive LearningEEGPretrained ModelsRepresentation LearningVisual Decoding All Co-Authors Chunyan LanDongyang LiGuanglong SunHang SuHongwei YanJun ZhouJun ZhuLiyuan WangQi ChengQian LiShuang CuiWeiyi DongYi Zhong Clear Statistics Export 2026 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 MePo++: Unifying Representation Refinement and Reconciliation for General Continual Learning General continual learning (GCL) aims to learn from evolving data streams without task identities, explicit boundaries, or repeated … Guanglong Sun, Kanglei Zhou, Liyuan Wang, Qi Cheng, Hongwei Yan, Shuang Cui, Hang Su, Jun Zhu, Yi Zhong Posted Sep 4, 2026 Preprint / Working Paper arXiv Cite PDF arXiv GitHub ProCA: Progressive Contrastive Alignment for Robust EEG Visual Decoding Electroencephalogram (EEG) visual decoding aims to recover visual semantics from non-invasive neural time-series signals, for which … Kanglei Zhou, Chunyan Lan, Dongyang Li, Jun Zhu, Liyuan Wang Posted Sep 4, 2026 Preprint / Working Paper arXiv Cite PDF arXiv
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