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

SIGKDD - August 14, 2021

Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters

Yuzhen Huang, Xiaohan Wei, Xing Wang, Jiyan Yang, Bor-Yiing Su, Shivam Bharuka, Dhruv Choudhary, Zewei Jiang, Hai Zheng, Jack Langman

MLSys - April 8, 2021

CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery

Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Michael G. Rabbat, Brandon Lucia, Carole-Jean Wu

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