Xiao Gu
Scholar

Xiao Gu

Google Scholar ID: xpXBs0gAAAAJ
University of Oxford
AI for HealthcareBiomedical Signal ProcessingWearable/Ambient IntelligenceDeep Learning
Citations & Impact
All-time
Citations
895
 
H-index
18
 
i10-index
28
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Published papers in IEEE TII, BMVC24, ML4H24, etc.; selected as outstanding reviewer at BMVC24; one co-authored survey paper on lower-limb exoskeletons accepted to IEEE SMC; a paper on Motor Imagery EEG accepted to JBHI and selected as Front Cover; organized a workshop focusing on wearables and healthcare robotics at ICRA24; awarded ICRA student travel grant; published a paper on long-tailed classification under domain shifts at ECCV 2022; won 2nd prize at Imperial Computing PhD Poster Competition; 3rd place in EPIC-Kitchens Action Anticipation CVPR 2022 Challenge.
Research Experience
  • Started as a postdoctoral researcher at Oxford in 2023; involved in multiple research projects and published numerous papers in international conferences and journals.
Education
  • Obtained a PhD degree in Computing in 2023, supervised by Dr Benny Lo and Prof Guang-Zhong Yang FREng CBE; previously obtained an MRes degree (Distinction & Dean's Prize) in Medical Robotics and Image Guided Intervention, also supervised by Dr Benny Lo and Prof Guang-Zhong Yang; BEng degree (Honors Student & National Scholarship) in Electronic Engineering from Fudan University in 2018, supervised by Prof Wei Chen.
Background
  • Currently a Senior Research Associate at the Computational Health Informatics Lab, University of Oxford, working with Prof David Clifton. Also an honorary researcher at Oxford University Hospital and a Junior Research Fellow with Kellogg College, Oxford. Research interests focus on integrating pervasive sensing (wearable and ambient sensors) and deep learning for healthcare, addressing generalization issues in real-world applications.
Miscellany
  • Sets aside one hour per week to mentor underrepresented students or anyone looking for guidance; gave talks on GenAI in Medicine; actively participates in organizing academic conferences and workshops.