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.
Interests
Large-scale optimization and machine learning
Related Links
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
arXiv - June 26, 2020
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou
Systems for Machine Learning Workshop at NeurIPS 2018 - December 3, 2018
Training with Low-precision Embedding Tables
Jian Zhang, Jiyan Yang, Hector Yuen