Xiangyu Zhu

Xiangyu Zhu is a faculty member at the University of Chinese Academy of Sciences (UCAS), School of Artificial Intelligence, and affiliated with the State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China. His research focuses on Computer Science, Artificial Intelligence, and 3D Face Reconstruction.

His work spans Face Recognition, Image Processing, and Computer Vision, with recent advancements in Masked Face Recognition, 3D Avatar Reconstruction, and Face Anti-Spoofing. He has contributed to Neural Network Architectures for High-Fidelity 3D Face Modeling and Image Fusion.

Xiangyu Zhu has co-authored numerous high-impact publications in journals like IEEE Transactions on Image Processing and conferences such as CVPR and ICCV, including recent works on Diffusion Models, Mamba Networks, and Weakly Aligned Feature Fusion. His research emphasizes Deep Learning and Optimization Techniques for Computer Vision applications.