Currently, I am a second-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.
🔥 News
- 2025.03: 🎉🎉 Two papers were accepted to CVPR’25!
- 2024.10: 🎉🎉 One paper was accepted to WACV’25 (Oral)!
- 2024.07: 🎉🎉 One paper was accepted to ECCV’24!
📝 Publications
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
CVPR 2025
Yu Cao, Zengqun Zhao, Ioannis Patras, Shaogang Gong
Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Ioannis Patras
Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer
WACV 2025 (Oral)
Zengqun Zhao, Yu Cao, Shaogang Gong, Ioannis Patras
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
ECCV 2024 (Poster)
Yu Cao, Shaogang Gong
🎖 Honors and Awards
- 2021.12 Computer Science Dean’s list, University College London, UK.
📖 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.
💻 Internships
- 2024.06 - Now, Research Assistant, Digital Environment Research Institute (QMUL), UK.
- 2023.12 - 2024.05, Research Asistant, Scalpel Limited, UK.