activity
20202026
most citedTemporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration

40 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

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…

cs.LG2023

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…

eess.SP2023★ 22 cited

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…

eess.SP2022★ 1 cited

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…

eess.SP2020★ 40 cited

Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration

Xingyao Wang, Chengyu Liu, Yuwen Li +3

Objective: This paper presents a novel heart sound segmentation algorithm based on Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic inference f…