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.
Research Areas
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
