3 papers
cs.LG2025
Structured Contrastive Learning for Interpretable Latent Representations
Zhengyang Shen, Hua Tu, Mayue Shi
Neural networks exhibit severe brittleness to semantically irrelevant transformations. A mere 75ms electrocardiogram (ECG) phase shift degrades latent cosine similarity from 1.0 to…
cs.CE2025
CardioRAG: A Retrieval-Augmented Generation Framework for Multimodal Chagas Disease Detection
Zhengyang Shen, Xuehao Zhai, Hua Tu +1
Chagas disease affects nearly 6 million people worldwide, with Chagas cardiomyopathy representing its most severe complication. In regions where serological testing capacity is lim…
cs.CE2025
COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity Monitoring
Zhengyang Shen, Bo Gao, Mayue Shi
Chronic obesity management requires continuous monitoring of energy balance behaviors, yet traditional self-reported methods suffer from significant underreporting and recall bias,…