Author

Ying-lei Huang

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Preprint Aug 2026

LSEAD: A Privacy-Preserving LLM-Based Speech Analysis Framework for Early Alzheimer's Disease Screening

Experimental results demonstrate that LSEAD provides a practical, secure, and scalable approach for early AD screening, and shows that LLM-based embeddings generalize well across datasets and improve AD classification accuracy by up to 5 percent over existing methods.

Xin Wang, Ying-lei Huang, Yuhan Su et al. · 0 citations

Jul 2026

Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language Models

This work establishes a new state-of-the-art for CI identification, with the proposed method demonstrating superior cross-dataset generalization and the power of an LLM-based multimodal framework that fuses linguistic and acoustic data to enable robust, scalable, and non-invasive screening.

Ying-lei Huang, Xin Wang, Yuhan Su et al. · arXiv.org · 0 citations