Yuzhe Yang
Assistant Professor
Directs the Health Intelligence Lab on machine learning for health, including AI biomarkers from wearable sensors.
Yuzhe Yang's lab at UCLA works on medical imaging & healthcare AI. 23 papers since 2023, 16 at top venues, mostly ICML and NeurIPS. 5 PhD students and 4 master's students. 6 alumni, most often to ByteDance. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 70%
- PhD students
- 5
- MS students
- 4
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 9 · collecting
- 5 papers2025 · T1 4
- 3 papers2024 · T1 0
- 3 papers2023 · T1 3
T1 venuesOtherVenues: ICML, NeurIPS, Nature, ICLR, Nature Machine Intelligence
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI5 papers
- health2 papers
- biomarkers1 paper
- sensors1 paper
- computational medicine0 papers
Paper list
From the lab homepage.
202612 papers
- MLHCELF: A Family of Encoder-Free ECG-Language Models (opens in a new tab)
- NeurIPS (T1)GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring (opens in a new tab)
- ICML (T1)HEARTS: Benchmarking LLM Reasoning on Health Time Series (opens in a new tab)
- NeurIPS (T1)Inertia-1: An Open Exploration of Wearable Motion Foundation Models (opens in a new tab)
- Nature (T1)Insulin Resistance Prediction from Wearables and Routine Blood Biomarkers (opens in a new tab)
- ICML (T1)OSF: On Pre-training and Scaling of Sleep Foundation Models (opens in a new tab)
- Nature (T1)Passive Heart-Rate Monitoring During Smartphone Use in Everyday Life (opens in a new tab)
- Radiology AdvancesRethinking Radiology AI Benchmarks (opens in a new tab)
- Neural Information Processing Systems (NeurIPS) GenAI4Health WorkshopSignal or Noise? Understanding Generative Models for Real-World Sensor Time Series (opens in a new tab)
- ICML (T1)SleepLM: Natural-Language Intelligence for Human Sleep (opens in a new tab)
- Nature (T1)The Anatomy of a Personal Health Agent (opens in a new tab)
- Nature Machine Intelligence (T1)Towards a Science of Scaling Agent Systems (opens in a new tab)
20255 papers
- Science AdvancesDemographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging (opens in a new tab)
- NeurIPS (T1)RADAR: Benchmarking Language Models on Imperfect Tabular Data (opens in a new tab)
- ICML (T1)Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models (opens in a new tab)
- ICLR (T1)Scaling Wearable Foundation Models (opens in a new tab)
- NeurIPS (T1)SensorLM: Learning the Language of Wearable Sensors (opens in a new tab)
20243 papers
- WACVBigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements (opens in a new tab)
- Nature MedicineDemographic Bias in Misdiagnosis by Computational Pathology Models (opens in a new tab)
- Nature MedicineThe Limits of Fair Medical Imaging AI in Real-World Generalization (opens in a new tab)
Where alumni went6 listed, 20% to industry
Industry 1Academia 4
Most often to
- ByteDance
Also to
- Duke University
- Carnegie Mellon University
- Georgia Tech
Apply to UCLAFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- optional
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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