About Me
I am now a Postdoctoral Researcher at the Computational Health Informatics Lab, University of Oxford, working with Prof David Clifton. Previously, I obtained my PhD degree in Computing and MRes degree (Distinction & Dean's Prize) in Medical Robotics and Image Guided Intervention, supervised by Dr Benny Lo and Prof Guang-Zhong Yang. Prior to that, I obtained BEng degree (Honors Student & National Scholarship) in Electronic Engineering from Fudan University in 2018, supervised by Prof Wei Chen. My research interests focus on integrating pervasive sensing (wearable and ambient sensors) and deep learning for healthcare, to address pressing generalization issues in real-world applications.
[2025-01-02]
   Our CFP for JBHI SI on biomedical sensing frontiers is live, welcome submissions!
[2024-12-02]
   One paper on depth camera based pose estimation got accepted to IEEE TII.
[2024-11-04]
   Selected as outstanding reviewer at BMVC24.
[2024-11-02]
   Two papers on LLM and Time Series Foundation Models got accepted to ML4H24.
[2024-10-28]
   One paper on semi-supervised medical image segmentation got accepted to WACV25.
[2024-10-28]
   Gave a talk to HKUMed on GenAI in Medicine.
[2024-02-20]
   One co-authored survey paper on lower-limb exoskeletons got accepted to IEEE SMC.
[2024-02-06]
   One paper on Motor Imagery EEG got accepted to JBHI and selected as Front Cover.
[2024-01-15]
   Our workshop focusing on wearables and healthcare robotics will be hosted at ICRA24.
[2023-09-12]
   Started as a postdoctoral researcher at Oxford.
[2023-08-23]
   Passed my PhD viva! Many thanks to my supervisors, collaborators, and family!   Thesis
My research interests are mainly focused on three tracks in Wearable/Ambient Intelligence for Digital Health
Generalization-Issue-Oriented   review paper
To examine and address real-world data learning issues, prompting generalizable and trustworthy solutions for digital health.
Dataset Scarcity (label scarcity / imbalanced /...),
Source Heterogeneity (cross-subject / position / modality / dataset /...),
Data&Annotation Quaility (noisy sensor data / annotation bias /...)
Sensing-Modality-Oriented
To harness the full potential of wearable and ambient sensing technologies for the development of healthcare solutions.
Ambient Camera / Egocentric Camera / EEG / EMG / IMU / ECG / Novel Sensing /...
Healthcare-Application-Oriented
To ultimately translate research advancements into tangible benefits for real-world health and wellbeing applications.
Clinical Outcome Prediction / Rehabilitation Monitoring / Human Behaviour Understanding / ...
Last Updated : Jan 2nd 2025 by Xiao (Shawn)