22 citations · 23 across the 8 of their papers we have counts for
8 papers
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
Qianggang Ding, Xingyao Wang, Rui Feng +19
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person fo…
Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations
Hongxiang Gao, He-yang Xu, Yuwen Li +6
Cardiologists interpret electrocardiograms by localizing waveform components, measuring rhythm and interval patterns, and translating these structured observations into diagnostic…
Knowledge-Guided Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Label-Conditioned Contrastive Alignment
Xinran Liu, Yuwen Li, Hongxiang Gao +4
Adult and pediatric electrocardiogram (ECG) interpretation relies on age-sensitive criteria, and models pretrained mainly on adult ECGs often transfer poorly to pediatric populatio…
Label-Conditioned Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Curriculum-Gated Contrastive Alignment
Xinran Liu, Yuwen Li, Hongxiang Gao +4
Automated pediatric electrocardiogram (ECG) interpretation remains challenging because developmental differences in heart rate, intervals, and waveforms limit the transferability o…
Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses
He-Yang Xu, Hongxiang Gao, Yuwen Li +2
The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from rhythm fluctuations to subtle waveform deformations that evolve across time and fr…
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
Hongxiang Gao, Xiangyao Wang, Zhenghua Chen +5
Automatic emotion recognition based on multichannel Electroencephalography (EEG) holds great potential in advancing human-computer interaction. However, several significant challen…
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
Hongxiang Gao, Xingyao Wang, Zhenghua Chen +3
Electrocardiogram (ECG) monitoring is one of the most powerful technique of cardiovascular disease (CVD) early identification, and the introduction of intelligent wearable ECG devi…
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
Xingyao Wang, Yuwen Li, Hongxiang Gao +3
Precise segmentation is a vital first step to analyze semantic information of cardiac cycle and capture anomaly with cardiovascular signals. However, in the field of deep semantic…