Cheng Chen is a Machine Learning Engineer at ByteDance since January 2019, specializing in WDL models training and performance optimization within the Applied Machine Learning team. Prior to this role, Cheng served as a Senior Researcher at Microsoft from July 2013 to December 2018, contributing to the System Research Group and leading the MMdnn project, which developed deep learning model conversion and visualization tools published at ESEC/FSE 2020. Earlier experience includes positions as a Research Assistant at Nanyang Technological University, a Research Intern at Microsoft Research Asia, and a Research and Development Intern at Alibaba Cloud Computing Company. Cheng holds a Master’s Degree in Computer Science from Sun Yat-sen University, completed in 2013.
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