Liang Xiong

Menlo Park, United States

Liang studied for his Ph.D. in Machine Learning at CMU before joining Facebook as a Research Manager. He builds cutting-edge AI to understand, inspire, and connect people to what's most meaningful. He develops algorithms and systems to learn everything about and around people and optimizes services to help them achieve what they care about. Liang's work involves ranking, retrieval, deep learning, sparse/graph/sequence modeling, reinforcement learning, optimization, large-scale training, and ML platform. His work intersects cutting-edge research and massive real-world applications and impact.

Liang's Publications



Variational Training for Large-Scale Noisy-OR Bayesian Networks

Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth,



Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

Kim Hazelwood, Sarah Bird, David Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang,


The Architectural Implications of Facebook’s DNN-based Personalized Recommendation

Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang,