Preprint All Years 20262025 All Pub. Types Preprint All Venues arXiv All Tags Action Quality AssessmentContinual Action Quality AssessmentContinual LearningContrastive LearningEEGPretrained ModelsRepresentation LearningVisual Decoding All Co-Authors Chunyan LanDongyang LiFrederick W. B. LiGuanglong SunHang SuHongwei YanHubert P. H. ShumJun ZhuLiyuan WangQi ChengQingyi PanShuang CuiXiaohui LiangXingxing ZhangYi Zhong Clear Statistics Export 2026 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 2025 Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization Action Quality Assessment (AQA) quantifies human actions in videos, supporting applications in sports scoring, rehabilitation, and … Kanglei Zhou, Qingyi Pan, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Xiaohui Liang, Liyuan Wang Posted Jan 1, 2025 Preprint / Working Paper arXiv Cite PDF GitHub arXiv
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