Google Research

Yu-hui Chen


I joined Google at the end of 2015, starting with Smart Imagery team in Geo. Since Feb 2018, I am a member of Medical Brain and Health Research. My works mainly focus on extracting structural information from images/texts and building up infrastructure for powering the development of ML models. My area of interest include computer vision, natural language processing, signal processing, and machine learning.

I received my Ph.D. in Electrical and Computer Engineering from University of Michigan, working with Prof. Alfred Hero on multi-modality image fusion in biomedical and materials in 2015. The main idea of image fusion is to intelligently combine the information from multiple image modalities for better decision making, e.g. detecting anomaly. I received my B.S. in Electrical Engineering from National Taiwan University from 2005 to 2009, working with Prof. Lin-Shan Lee on speech recognition and information retrieval.

My hometown is Taipei, Taiwan, where I was born and grew up. I came to United States in 2010 for my graduate degree and started to learn and enjoy snowboarding since then. I love music (classical, Rock, and R&B) and play a little bit piano and drums. Badminton is my favorite sport which I play regularly.

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