Hongyan Li
School of Intelligence Science and Technology, Peking University, Beijing, China and State Key Laboratory of General Artificial Intelligence
ORCID iDHongyan Li has 1 paper in the ChatPPG research atlas (2026), linked to 1 model, with work using 8 datasets and 7 co-authors in the atlas. Main topics: ppg, ecg, foundation-model, contrastive, ecg-guided, phenome-wide.
Papers
- AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling2026 · KDD 2026
AnyPPG pretrains a PPG encoder (Net1D/ResNet-style, 512-dim) using a CLIP-style cross-modal contrastive objective against a frozen ECG foundation model (ECGFounder) instead of PPG-only self-supervised learning. Pretraining data is 109,909 hours / 58,796 subjects of synchronized PPG+ECG from five clinical sources (MC-MED, PulseDB [MIMIC+VitalDB derived], MESA, HSP, CFS) — largely ICU and sleep-lab, not wearable. At inference only PPG is needed (ECG branch is pretraining scaffolding).
- Venue: KDD 2026 (ACM SIGKDD V.2)
- Subjects: 58796
- Signals: ppg, ecg
Models
Datasets used in this work
- Brno University of Technology Smartphone PPG Database (BUT PPG)
- Cleveland Family Study (CFS): NSRR family sleep-apnea PSG
- Gyro-Acc-PPG (BAMI-I, Wonkwang): 3-channel green wrist PPG + accel + gyro, treadmill
- Human Sleep Project (BDSP): multi-site clinical PSG
- PPG-DaLiA: PPG dataset for motion compensation / HR
- WenXinWuYang: HeartVoice handheld single-lead ECG + finger PPG recordings (private; AnyPPG eval)
- MESA Sleep: NSRR polysomnography + wrist actigraphy (Multi-Ethnic Study of Atherosclerosis)
- UCI Cuff-Less Blood Pressure Estimation (UCI 340; Kachuee 2015)