Jiyan Yang

Research Scientist

I am a research scientist at Facebook where I focus on developing fast and efficient optimization algorithms for large-scale machine learning problems. Prior to joining Facebook, I received my PhD at Stanford University in 2016. My thesis was about using randomized linear algebra as a tool to develop optimization and machine learning algorithms for large-scale data applications.


Large-scale optimization and machine learning

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Latest Publications

arXiv - September 3, 2020

Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems

Maxim Naumov, John Kim, Dheevatsa Mudigere, Srinivas Sridharan, Xiaodong Wang, Whitney Zhao, Serhat Yilmaz, Changkyu Kim, Hector Yuen, Mustafa Ozdal, Krishnakumar Nair, Isabel Gao, Bor-Yiing Su, Jiyan Yang, Mikhail Smelyanskiy

KDD - August 1, 2020

Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

Qingquan Song, Dehua Cheng, Eric Zhou, Jiyan Yang, Yuandong Tian, Xia Hu

Systems for Machine Learning Workshop at NeurIPS 2018 - December 3, 2018

Training with Low-precision Embedding Tables

Jian Zhang, Jiyan Yang, Hector Yuen