Google Research

Feng Yang


Feng Yang is a Staff Software Engineer at Google Research, where he leads the AIM Engine team. He was a postdoctoral researcher at Illumination&Imaging Lab, Robotics Institute, CMU, supervised by Prof. Srinivasa Narasimhan. He interned at Intel Research Center, Beijing advised by Eric Li and Nokia Research, Palo Alto, CA advised by Kari Pulli. He was a Research Assistant with the Broadband Network and Digital Multimedia Laboratory, Tsinghua University, advised by Prof. Qionghai Dai, member of Chinese Academy of Engineering and Audiovisual Communications Laboratory, EPFL, advised by Prof. Martin Vetterli, President of EPFL and member the US National Academy of Engineering. His research interests include deep learning, image quality assessment, digital rights management, image and video synthesis, image and video processing, computational photography, video streaming, distributed video coding, sampling theories, and mobile sensing. Most recently, he is working on building the next generation image/video processing, serving and storage system with AI. A lot of his algorithms are landed in Google's products and significantly increased the company's revenue and reduced cost. Feng Yang received the B.Eng. and M.Eng. degrees in automatic control from Tsinghua University, Beijing, China, in 2004 and 2007, respectively. He won Outstanding master thesis of Tsinghua University. He got Ph.D. degree in communication systems at the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland in 2012. He won Fritz Kutter Award for best PhD thesis. He holds several patents and some of them sold to Rambus Inc.

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