About me
Fei Yang receives his PhD in computer science from State University of New Jersey. He has worked at Microsoft, Facebook, TAL Education Group, and did internships at Adobe Lab and Bell Lab. His research focuses on computer vision and machine learning, including face recognition and tracking, expression analysis and synthesis, large-scale image and video classification, etc. He built the first version of Facebook’s large-scale image understanding system, which analyzes billions of images every day. He has published more than 30 academic papers, and holds more than 10 patents. He joined Kuaishou Multimedia Understanding Team in 2021.
杨非分别于清华大学、中科院计算所和美国新泽西州立大学获得计算机专业的本科、硕士和博士学位。他曾就职于微软公司、Facebook，好未来教育集团，并曾在在Adobe实验室和贝尔实验室实习。他的研究领域为计算机视觉和机器学习，包括人脸识别与跟踪、表情分析与合成、大规模图像识别、物体检测等。他曾搭建Facebook最早的大规模图像理解系统，每天对数十亿张图像进行分类、检测和分析。发表学术论文30余篇，申请国内外专利10余项。于2021年加入快手多媒体内容理解部。