I am a Computer Science PhD student at New York University advised by Professor Jinyang Li, and I am also a proud member of NYU System Group. I am broadly interested in doing research in distributed computing frameworks. Currently, my primary research work focuses on applying system techniques to improving the performance of machine learning frameworks.
Ph.D. Computer Science (2016.9 - Present)
New York University, New York, NY, United States
B.S. Computer Science (2012.9 - 2016.6)
Nanjing University, Nanjing, Jiangsu, China
University Exchange Program (2015.9 - 2016.4)
University of Waterloo, Waterloo, Ontario, Canada
- Pin Gao, Lingfan Yu (equal contribution), Yongwei Wu, Jinyang Li.
Low Latency RNN Inference with Cellular Batching
Eurosys’18, Porto, Portugal, April 2018.
[paper, talk, slides]
- Cheng Tan, Lingfan Yu, Joshua B. Leners, Michael Walfish.
The Efficient Server Audit Problem, Deduplicated Re-execution, and the Web (Best paper award).
SOSP’17, Shanghai, China, October 2017