Zengqun Zhao
PhD Student
Multimedia and Vision Research Group
School of Electronic Engineering and Computer Science
Queen Mary University of London
Email: zengqun.zhao [at] qmul (dot) ac (dot) uk
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About
I am currently a third-year PhD student in Computer Science at Queen Mary University of London (QMUL), working with
Prof.
Ioannis Patras and funded by the Queen Mary Principal's Scholarship.
I am also fortunate to be collaborating closely with Dr.
Ziquan Liu
and Prof.
Shaogang Gong.
Previously, I obtained my MSc degree in Control Science and Engineering from
Nanjing University of Information Science & Technology (NUIST), where I worked with
Prof.
Qingshan Liu.
My research interests are centred on Computer Vision,
with a focus on Diffusion Models (2024—present),
AI Fairness (2024—present),
Vision Language Models (2022—present),
and Facial Expression Recognition (2019—present).
Outside of my research, I am passionate about music, particularly rock music. I enjoy exploring various genres, including progressive rock,
post rock, Britpop, gothic rock, funk rock, shoegaze, and so on. I like playing guitar and singing. In addition to music,
I love staying active through hiking, cycling, and fitness.
Publications
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
Zengqun Zhao,
Ziquan Liu,
Yu Cao,
Shaogang Gong,
Ioannis Patras
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
Yu Cao,
Zengqun Zhao,
Ioannis Patras,
Shaogang Gong
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer
Zengqun Zhao,
Yu Cao,
Shaogang Gong,
Ioannis Patras
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025 (Oral)
Prompting Visual-Language Models for Dynamic Facial Expression Recognition
Zengqun Zhao,
Ioannis Patras
British Machine Vision Conference (BMVC), 2023
Former-DFER: Dynamic Facial Expression Recognition Transformer
Zengqun Zhao,
Qingshan Liu
ACM International Conference on Multimedia (ACM MM), 2021
Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild
Zengqun Zhao,
Qingshan Liu,
Shanmin Wang
IEEE Transactions on Image Processing (TIP), 2021
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
Zengqun Zhao,
Qingshan Liu,
Feng Zhou
AAAI Conference on Artificial Intelligence (AAAI), 2021
Experiences
Research Intern
Apr 2025 - Present, London Research Center, Huawei UKRD
- Working on video diffusion models.
Teaching Assistant
Jan 2023 - Apr 2025, Queen Mary University of London
- Machine Learning (2023, 2024 Autumn), Module Lead: Prof. Ioannis Patras
- Deep Learning and Computer Vision (2024, 2025 Spring), Module Lead: Prof. Shaogang Gong
Jan 2024 - Mar 2024, University College London
- Affective Computing and Human-Robot Interaction, Module Lead: Prof. Nadia Berthouze
Research Intern
Jul 2021 - Sep 2021, DAMO Academy, Alibaba Group
- Working on efficient face detection and recognition.
