1 citations · 2 across the 5 of their papers we have counts for
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Learning Dynamic Neural Evidence Representations for Time-Adaptive Brain-Computer Interfaces
Beining Cao, Ziyi Zhao, Xiaowei Jiang +5
Brain-computer interfaces (BCIs) decode neural activity into commands, yet most existing systems rely on fixed-window decoding that may result in redundant observation or unreliabl…
iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration
Xiaowei Jiang, Daniel Leong, Beining Cao +5
Interpretable representation learning remains a key challenge in modern neural computation, particularly when models are expected not only to perform but also to explain their reas…
SASLO: A Scene-Aware Spatial Layout Optimization System for AR-SSVEP
Beining Cao, Xiaowei Jiang, Charlie Li-Ting Tsai +3
Steady-state visual evoked potential (SSVEP) is widely used in brain-computer interfaces (BCIs) due to its reliability. With the integration of augmented reality (AR), AR-SSVEP ena…
BrainStack: Neuro-MoE with Functionally Guided Expert Routing for EEG-Based Language Decoding
Ziyi Zhao, Jinzhao Zhou, Xiaowei Jiang +6
Decoding linguistic information from electroencephalography (EEG) remains challenging due to the brain's distributed and nonlinear organization. We present BrainStack, a functional…