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Shuyan Li

School of Electronics, Electrical Engineering and Computer Science
Shuyan Li

Shuyan Li

School of Electronics, Electrical Engineering and Computer Science

My research focuses on developing foundational computer vision methods and exploring their applications in healthcare. Key research topics include:

  • Unsupervised Learning: Designing self-supervised and clustering techniques to uncover patterns in unlabelled data.
  • Multi-modal Learning: Integrating data from diverse modalities, including images, text, and audio, for comprehensive analysis.
  • Medical Imaging: Advancing disease detection through segmentation, classification, and time-series analysis of medical images.
  • Video Understanding: Developing spatiotemporal models for behavior recognition and dynamic video summarization.

Contact info

  • shuyan.li@qub.ac.uk
  • +44 7536292324

Research Interests

1. EPSRC PhD Scholarship

Application Deadline: February 28, 2025

This scholarship is funded by the UK’s Engineering and Physical Sciences Research Council (EPSRC), supporting innovative PhD projects in computer vision and healthcare applications.

2. CSC PhD Scholarship

Application Deadline: January 21, 2025

A fully funded opportunity for Chinese students through the China Scholarship Council (CSC) in collaboration with Queen’s University Belfast. This scholarship covers tuition fees and provides a living stipend.

3. Always welcome self-funded PhD students and visiting students.

No Application Deadline

Interested applicants should contact me to discuss potential research directions and prepare application materials.

Make a PhD enquiry


Public outreach & key achievements

Key Achievements:

  • I have published extensively in top-tier venues, including CVPR, ICCV, and AAAI, showcasing the impact of my research.
  • I was honored to receive the Athena Postdoctoral Fellowship, funded by the NSF AI Research Center.
  • My doctoral dissertation was awarded the Outstanding Doctoral Dissertation Award by the Shenzhen Artificial Intelligence Society.
  • I was recognized as one of Forbes’ Top 100 Most Influential Chinese in 2024, a significant milestone in my career.
  • I serve as a Guest Editor for the journal Innovation and Technology of Computer Vision.
  • Additionally, I actively review for esteemed journals and conferences such as TPAMI, AAAI, and CVPR.

Public Outreach:

  • I mentor early-career researchers through the Cambridge Trinity College Postdoctoral Mentorship Program, contributing to their academic growth.
  • As the Director of the Tsinghua Alumni Association in the UK, I represent Northern Ireland and foster alumni connections.
  • I also hold the role of Secretary-General for the UK Association of Distinguished Young Scholars, where I actively promote academic collaboration and engagement.

Research students

Name Ben Redden
Years of study 2024 Fall PhD student
Country United Kingdom
   
Name Shurui Xu
Years of study 2025 Spring PhD student
Country China

Discover More

  • Faculty of Engineering and Physical Science
  • Google Scholar:  

 


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