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cs.AI2026
ProCA: Progressive Contrastive Alignment for Robust EEG Visual Decoding
Kanglei Zhou, Chunyan Lan, Dongyang Li +2
Electroencephalogram (EEG) visual decoding aims to recover visual semantics from non-invasive neural time-series signals, for which robust alignment between noisy neural responses…
cs.AI2026
MePo++: Unifying Representation Refinement and Reconciliation for General Continual Learning
Guanglong Sun, Kanglei Zhou, Liyuan Wang +6
General continual learning (GCL) aims to learn from evolving data streams without task identities, explicit boundaries, or repeated access to previous data, making it a realistic y…