collaborators

16 papers

cs.LG2026

CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation

Hamza Shafiq, Hung Manh Pham, Bin Zhu +3

Electrocardiography (ECG), photoplethysmography (PPG), and phonocardiography (PCG) provide complementary views of the same cardiac cycle, yet existing cardiac foundation models are…

cs.LG2026

Unlocking In-Context Learning in Audio-Language Models from Decentralized Medical Audio

Ran Piao, Tsai-Ning Wang, Martijn den Dekker +4

Clinical audio diagnosis in low-resource settings requires models that identify conditions from minimal examples without large annotated corpora. We propose Federated Self-Contextu…

cs.AI2026

VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data

Di Zhu, Yu Yvonne Wu, Hong Jia +3

Wearable devices enable continuous monitoring of physiological signals such as ECG and PPG, but existing mHealth systems are largely limited to task-specific prediction pipelines o…

cs.CL2026

PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning

Hung Manh Pham, Jinyang Wu, Xiao Ma +6

Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable setti…

cs.SD2026

Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding

Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour +1

Pre-trained audio models excel at detecting acoustic patterns in auscultation sounds but often fail to grasp their clinical significance, limiting their use and performance in diag…

cs.SD2026

Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification

Tsai-Ning Wang, Herman Teun den Dekker, Lin-Lin Chen +2

Automated respiratory audio analysis promises scalable, non-invasive disease screening, yet progress is limited by scarce labeled data and costly expert annotation. Zero-shot infer…