Currently, I am a first-year PhD student in Computer Science at the Computer Vision Group in the School of Electronic Engineering and Computer Science at the Queen Mary University of London, under the supervision of Prof. Shaogang Gong.

My research aim is to answer the question: In what ways can large language models be optimally utilized to facilitate multimodal learning in fine-grained unsupervised domain adaptation and domain generalization? Consequently, I am deeply interested in generative models, multimodal, and domain generalization.

πŸ”₯ News

  • 2024.07: Β πŸŽ‰πŸŽ‰ One paper is accepted to ECCV’24!
  • 2024.06: Β πŸŽ‰πŸŽ‰ One paper is available at arXiv!

πŸ“ Publications

ECCV 2024
ECCV2024

Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion, ECCV 2024

Yu Cao, Shaogang Gong

Project | Code (available soon)

arXiv
arXiv

Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer

Zengqun Zhao, Yu Cao, Shaogang Gong, Ioannis Patras

Code

πŸŽ– Honors and Awards

  • 2021.12 Computer Science Dean’s list, University College London, UK.

πŸ“– Educations

  • *2023.09 - Now, PhD, Queen Mary University of London (QMUL), London, UK.
  • 2020.09 - 2021.09, Master (Distinct GPA 4.0), University College London (UCL), London, UK.
  • 2016.09 - 2020.09, Bachelor (First-Class Honours, GPA 4.0), University of Liverpool, Liverpool, UK.

πŸ’» Internships

  • 2024.06 - Now, Research Assistant, Digital Environment Research Institute (QMUL), UK.
  • 2023.12 - 2024.05, Research Asistant, Scalpel Limited, UK.