I'm an engineer at Google Brain, working on deep learning models and TensorFlow.
I received my Bachelors (in CS and in Math) from UC Berkeley in Dec '15. During my undergrad, I worked on various big data systems in the AMPLab. My previous life also includes internships at Twitter and Databricks.
I am broadly interested in computer systems.
Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous.
ZipG: A Memory-efficient Graph Store for Interactive Queries.
Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica.
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics.
Shivaram Venkataraman, Zongheng Yang, Michael Franklin, Benjamin Recht, Ion Stoica.
SparkR: Scaling R Programs with Spark.
Shivaram Venkataraman, Zongheng Yang, Davies Liu, Eric Liang, Hossein Falaki, Xiangrui Meng, Reynold Xin, Ali Ghodsi, Michael Franklin, Ion Stoica, Matei Zaharia.
SIGMOD 2016 (industrial track).