Author

Kang-Lei Zhou

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Open access Aug 2026

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 Spatial-Temporal Graph Convolutional Networks (STGCNs) have achieved promising results by modeling skeletal structures with implicit spatial-temporal representations. However, our empirical study r...

Kang-Lei Zhou, Ruizhi Cai, Hubert P. H. Shum et al. · Pattern Recognition · 0 citations

#artificial intelligence Preprint Sep 2026

Brain-Inspired Hierarchical Modularity for General Continual Learning

Across visual recognition, vision-language understanding, ego-exo video understanding, and embodied vision-language-action learning, this method consistently improves learning under online and uncertain data streams, with gains exceeding 50 percentage points over replay-free alternatives in embodied manipulation.

Hong-Wei Yan, Kang-Lei Zhou, Qi-Hao Cheng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

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 robust alignment between noisy neural responses and stable semantic representations is key to achieving high-performance decoding. Despite recent advances in contrastive learning, robust E...

Kang-Lei Zhou, Chun-Yan Lan, Dong-Yang Li et al. · 0 citations