Weiguang Wang — accepted AI-conference papers

2026

Rethinking Self-Training Based Cross-Subject Domain Adaptation for SSVEP Classification

Weiguang Wang, Yingjie Gao, Guangyuan Xu

ICASSP 2026oral

Steady-state visually evoked potentials (SSVEP)-based brain-computer interfaces (BCIs) are widely used due to their high signal-to-noise ratio and user-friendliness. Accurate decoding of SSVEP signals is crucial for interpreting user intentions in BCI applications. However, signal variability across…

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2025

The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models

Xinyi Liu, Weiguang Wang, Hangfeng He

EMNLP 2025

With the growing adoption of Large Language Models (LLMs) for open-ended tasks, accurately assessing epistemic uncertainty, which reflects a model’s lack of knowledge, has become crucial to ensuring reliable outcomes. However, quantifying epistemic uncertainty in such tasks is challenging due to the

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