activity
20242026
most citedA deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life

31 citations · 38 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CE2026

Wearable-informed generative digital avatars predict task-conditioned post-stroke locomotion

Yanning Dai, Chenyu Tang, Ruizhi Zhang +16

Dynamic prediction of locomotor capacity after stroke could enable more individualized rehabilitation, yet current assessments largely provide static impairment scores and do not i…

cs.CL2025

Self-signals Driven Multi-LLM Debate for Efficient and Accurate Reasoning

Xuhang Chen, Zhifan Song, Deyi Ji +2

Large Language Models (LLMs) have exhibited impressive capabilities across diverse application domains. Recent work has explored Multi-LLM Agent Debate (MAD) as a way to enhance pe…

eess.SP2025

Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series

Xuhang Chen, Ihsane Olakorede, Stefan Yu Bögli +8

Artefacts compromise clinical decision-making in the use of medical time series. Pulsatile waveforms offer probabilities for accurate artefact detection, yet most approaches rely o…

cs.HC2024★ 5 cited

An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment

Chenyu Tang, Ruizhi Zhang, Shuo Gao +21

At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of…

eess.AS2024★ 2 cited

Wearable intelligent throat enables natural speech in stroke patients with dysarthria

Chenyu Tang, Shuo Gao, Cong Li +20

Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments. However, seamless, coherent speech remains elusive, and c…

eess.SP2024★ 31 cited

A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life

Chenyu Tang, Wentian Yi, Muzi Xu +6

In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-rel…

cs.CV2024

Deep Learning-Based Longitudinal Prediction of Childhood Myopia Progression Using Fundus Image Sequences and Baseline Refraction Data

Mengtian Kang, Yansong Hu, Shuo Gao +13

Childhood myopia constitutes a significant global health concern. It exhibits an escalating prevalence and has the potential to evolve into severe, irreversible conditions that det…