Dehua Cheng

Menlo Park, United States

Dehua works on machine learning problems in the field of personalization, which includes model training, compression, and AutoML. Prior to joining Facebook, Dehua graduated with a PhD in Computer Science at the University of Southern California, with a focus on machine learning.

Dehua's Publications

June 30, 2019

RESEARCH

NLP

Variational Training for Large-Scale Noisy-OR Bayesian Networks

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

June 30, 2019

February 21, 2020

RESEARCH

Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection

Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu,

February 21, 2020