Selected and recent work across brain–computer interfaces, Physical AI, multimodal learning, and explainable AI. For citation metrics and the latest indexing status, see my Google Scholar profile.
14th International Winter Conference on Brain-Computer Interface (BCI), Accepted Paper
A compact language model adapted to clinical EEG reporting for polishing, summarization, terminology QA, and future EEG–language systems.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
A counterfactual framework that explains fine-grained misclassification at both object and part levels using saliency partition.
Neural Networks
A semantic-prioritized counterfactual framework that improves the relevance and efficiency of region replacement.
13th International Winter Conference on Brain-Computer Interface (BCI)
An expandable EEG network that increases capacity when needed to improve personalized, session-to-session BCI reliability.
13th International Winter Conference on Brain-Computer Interface (BCI)
A flexible representation-learning framework that fuses EEG with video and audio for affective brain–computer interfaces.
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
A continual-learning framework that separates invariant and subject-specific features to reduce catastrophic forgetting across EEG domains.
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
A baseline-guided representation strategy for improving EEG classification robustness under noisy recording conditions.