معرفی
Zitong Yu is an Assistant Professor of Computer Science at Great Bay University, China, leading the YU Vision (YUV) Group. He holds a PhD in Computer Science from the University of Oulu and has conducted postdoctoral research at Nanyang Technological University. His research focuses on computer vision, biometric security, and multimodal learning, with notable contributions to face anti-spoofing, deepfake detection, and remote physiological measurement.
- Postdoctoral Researcher: ROSE Lab, Nanyang Technological University (NTU)
- Visiting Scholar: University of Oxford (2021)
His work bridges theoretical advancements with real-world applications, such as healthcare advisory roles with BioTrillion, USA. Key achievements include organizing international conferences (e.g., IJCB'24 Special Session), serving as Area Chair for BMVC 2024, and contributing to influential datasets like GenFace and DOLOS.
Research interests span facial presentation attack detection, multimodal learning, and generative models for security. He has received awards including the World's Top 2% Scientists (2023-2024) and the Chinese Government Award for Outstanding Self-financed Students Abroad (2021).
Grants include the Natural Science Foundation of China's Young Scientists Fund (300k RMB) and the Guangdong Provincial Regional Joint Fund (300k RMB). His labs and teams focus on advancing trustworthy AI systems through robust and generalizable models.
