3 papers
eess.SP2026
X-LIBS: Interpretable Soil Classification Using Explainable AI and Laser-Induced Breakdown Spectroscopy
Yingchao Huang, Xin Wang
Machine learning (ML) has emerged as a powerful tool for soil analysis using Laser-Induced Breakdown Spectroscopy (LIBS). However, traditional black-box models often lack interpret…
eess.AS2026
LSEAD: A Privacy-Preserving LLM-Based Speech Analysis Framework for Early Alzheimer's Disease Screening
Xin Wang, Yingchao Huang, Yuhan Su +2
Early diagnosis of Alzheimer's disease (AD) is critical for enabling timely interventions that may slow disease progression and improve patient outcomes. There is a growing need fo…
eess.SP2026
Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language Models
Yingchao Huang, Xin Wang, Yuhan Su +1
Cognitive impairment (CI) is a growing public health concern. Early and accurate diagnosis is critical for enabling timely intervention and improving patient outcomes. Speech-based…