About Me
Hi! I am Yvonne, a PhD student in the Mobile System Group at the University of Cambridge, supervised by Prof. Cecilia Mascolo. My research journey is generously supported by Nokia Bell Labs.
My research interests focus on building human-centered systems, incorporating wearable sensing technologies and advanced learning algorithms. Specifically, my work include:
- Accessible Health Sensing: Exploring novel sensing modalities without specialized equipment, such as earables, to enable fitness and well-being monitoring.
- AI for Sequential & Multimodal Data: Advancing the development of foundation models using self-supervised learning techniques to analyze fine-grained, person-generated sequential and multimodal data.
- Trustworthy Deep Learning:: Improving the robustness and generalization in deep learning for more reliable health outcome predictions.
News
- I started start the Internship at MSRA-shanghai hosted by Prof.Lili Qiu from Oct,2024.
- Our paper Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking has been accepted by NeurIPS 2024.
- Our paper StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast has been accepted by CIKM 2024.
- Our paper UDAMA: Unsupervised Domain Adaptation Through Multi Discriminator Adversarial Training With Noisy Labels Improves Cardio Fitness Prediction has been accepted by Machine Learning for Healthcare 2023.
- I received the travel award (by DeepMind) MLHC’23!
Contact Me
- My email address is yw573{at}cam{dot}ac{uk}.
- My full CV is here.