455 citations · 685 across the 20 of their papers we have counts for
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RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction
Yuwei Zhang, Tong Xia, Aaqib Saeed +1
The high incidence and mortality rates associated with respiratory diseases underscores the importance of early screening. Machine learning models can automate clinical consultatio…
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang, Tong Xia, Yuan Lu +2
Electrocardiogram (ECG) interpretation requires specialized expertise, often involving synthesizing insights from ECG signals with complex clinical queries posed in natural languag…
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
Jialu Tang, Tong Xia, Yuan Lu +2
Interpreting electrocardiograms (ECGs) and generating comprehensive reports remain challenging tasks in cardiology, often requiring specialized expertise and significant time inves…
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation
Tong Xia, Abhirup Ghosh, Xinchi Qiu +1
Federated Learning (FL) enables model development by leveraging data distributed across numerous edge devices without transferring local data to a central server. However, existing…
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
Yuwei Zhang, Tong Xia, Jing Han +6
Respiratory audio, such as coughing and breathing sounds, has predictive power for a wide range of healthcare applications, yet is currently under-explored. The main problem for th…