Xue Bai
About Xue Bai
Xue Bai is a Machine Learning Researcher at Adobe, specializing in computer vision and computational photography. With a career spanning over a decade in various roles at Adobe and other organizations, Bai has contributed significantly to machine learning research since 2019.
Work at Adobe
Xue Bai has been a Machine Learning Researcher at Adobe since December 2019, contributing to various machine learning research projects. Prior to this role, Bai held multiple positions at Adobe, including Senior Research & Innovation Engineer from 2015 to 2017 and Computer Scientist from 2010 to 2015. Bai also completed two research internships at Adobe Systems Inc. in Seattle, WA, one in 2008 for two months and another in 2009 for four months. This extensive experience at Adobe highlights Bai's long-term commitment to the company and its research initiatives.
Education and Expertise
Xue Bai earned a Bachelor of Science degree in Electrical Engineering from Shanghai Jiao Tong University, where studies took place from 2001 to 2005. Bai furthered education by obtaining a Ph.D. in Electrical and Computer Engineering from the University of Minnesota, completing the program from 2005 to 2010. Bai specializes in computer vision and computational photography, applying this expertise in various research roles.
Background
Before joining Adobe, Xue Bai worked as a Principal Research Scientist at MEGVII旷视 from 2017 to 2019 in Redmond, WA. Bai's career began at Adobe Systems Inc. as a Research Intern in 2008, followed by another internship in 2009. Bai's professional journey reflects a strong foundation in research and development within the technology sector, particularly in machine learning and computer vision.
Research Contributions
Since joining Adobe, Xue Bai has been actively involved in machine learning research projects. Bai's focus on computer vision and computational photography has contributed to advancements in these fields. The work at Adobe Research emphasizes the application of machine learning techniques to enhance digital imaging and related technologies.