Publications

Highlighted research projects:
1. Listen to health: acoustic AI for public respiratory health screening
- Collected the largest respiratory audio dataset (NeurIPS'21) (shared with 400 institutes)
- Designed the first audio-driven COVID-19 predicting model (KDD'20, NPJ Digital Medicine'22) (600+ citations)
- Proposed the first open-source respiratory foundation model (NeurIPS'24)
2. Modelling Electrocardiograms for cardiovascular disease prediction
- Contributed confidence-aware models to diagnose arrhythmia from wearable ECGs (IEEE JBHI'24)
- Multi-modal LLMs for ECG interpolation
3. Mobility tracking and intervention for epidemic control
- Proposed the first personal mobility data enhancement algorithm (AAAI'20)
- Designed personalized mobility intervention strategy to mitigate infection risk (IEEE Big Data'22, KDD'23)
4. Urban environment and public health
- Curated the first open dataset for environmental determinants of health (Scentific Data'23)
- Using remote sensing to understand the urban environment that affects health (SIGSPATIAL'23)
- Modelling and predicting of urban dynamics (UbiComp'19)
5. Decentralized machine learning for privacy-sensitive health data
- Federated learing (KDD'24, ICASSP'23)