Zengqun Zhao
I am a final-year PhD student in Computer Science at Queen Mary University of London (QMUL), working with Prof. Ioannis Patras and supported by the Queen Mary Principal's Scholarship. I also collaborate closely with Dr. Ziquan Liu and Prof. Shaogang Gong. Previously, I earned an MSc in Control Science and Engineering from Nanjing University of Information Science & Technology (NUIST), where I worked with Prof. Qingshan Liu.
My research spans human facial behaviour understanding, vision-language models, and generative models. My current work focuses on generative video models, particularly long and temporally consistent video generation, real-time autoregressive video generation, and controllable generation conditioned on text, audio, and actions.
Outside of research, I am passionate about rock music, especially progressive rock, post-rock, Britpop, gothic rock, funk rock, and shoegaze. I enjoy playing guitar and singing, as well as staying active through hiking, cycling, and fitness.
- Worked on audio-driven video diffusion and codec avatars.
- Worked on diffusion models and video generation.
- Machine Learning (Autumn 2023, 2024) — Module Lead: Prof. Ioannis Patras
- Deep Learning and Computer Vision (Spring 2024, 2025) — Module Lead: Prof. Shaogang Gong
- Affective Computing and Human-Robot Interaction — Module Lead: Prof. Nadia Berthouze
- Worked on lightweight face detection and recognition.