activity
20202026
most citedExploiting Fully Convolutional Network and Visualization Techniques on Spontaneous Speech for Dementia Detection

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Assessing Privacy Preservation and Utility in Online Vision-Language Models

Karmesh Siddharam Chaudhari, Youxiang Zhu, Amy Feng +2

The increasing use of Online Vision Language Models (OVLMs) for processing images has introduced significant privacy risks, as individuals frequently upload images for various util…

cs.CL2025

Cog-TiPRO: Iterative Prompt Refinement with LLMs to Detect Cognitive Decline via Longitudinal Voice Assistant Commands

Kristin Qi, Youxiang Zhu, Caroline Summerour +2

Early detection of cognitive decline is crucial for enabling interventions that can slow neurodegenerative disease progression. Traditional diagnostic approaches rely on labor-inte…

cs.CL2025

Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning

Kristin Qi, Jiali Cheng, Youxiang Zhu +2

Detecting Mild Cognitive Impairment from picture descriptions is critical yet challenging, especially in multilingual and multiple picture settings. Prior work has primarily focuse…

cs.CL2025

UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning

Kristin Qi, Youxiang Zhu, Xiaohui Liang

We present our approach to the PerAnsSumm Shared Task, which involves perspective span identification and perspective-aware summarization in community question-answering (CQA) thre…

eess.AS2024

Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection

Nana Lin, Youxiang Zhu, Xiaohui Liang +2

Mild cognitive impairment (MCI) is a major public health concern due to its high risk of progressing to dementia. This study investigates the potential of detecting MCI with sponta…

eess.AS20202 cited

Exploiting Fully Convolutional Network and Visualization Techniques on Spontaneous Speech for Dementia Detection

Youxiang Zhu, Xiaohui Liang

In this paper, we exploit a Fully Convolutional Network (FCN) to analyze the audio data of spontaneous speech for dementia detection. A fully convolutional network accommodates spe…