Huawen Hu

Margin-Regularized Structured Semantic Alignment for Brain-Language Correspondence

This work proposes a margin-regularized structured semantic alignment framework that directly aligns brain embeddings with text embeddings in a shared semantic space, enabling retrieval-based decoding and enables explicit modeling of the correspondence between neural representations and language semantics.