GAO Wen

GAO Wen is a professor at Peking University, affiliated with the School of Electronic and Computer Engineering. His research focuses on multimedia technology. He holds the title of Professor, is a doctoral supervisor, and an IEEE Fellow. Additionally, he is an academician of the Chinese Academy of Engineering and holds a Doctorate from the University of Tokyo, Japan. He serves as Director of the Digital Media Research Institute, the National Engineering Laboratory of Digital Video Codec Technology, and the Digital Media Center at Peking University.

Wen Gao is a researcher at Peking University and Pengcheng Laboratory, specializing in multimedia, video coding, video processing, and computer vision. His work focuses on advancing image and video analysis through innovative techniques such as pre-trained image processing transformers, person re-identification using GANs, and robust local descriptors for image retrieval. He has also contributed to face recognition through methods like local Gabor binary patterns and histogram of Gabor phase patterns. His research includes federated learning for healthcare, speech emotion recognition, and illumination normalization for face recognition. Gao's publications highlight his expertise in deep learning, vision transformers, and AI alignment.