6 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.LG2018
Generative Model for Heterogeneous Inference
Honggang Zhou, Yunchun Li, Hailong Yang +2
Generative models (GMs) such as Generative Adversary Network (GAN) and Variational Auto-Encoder (VAE) have thrived these years and achieved high quality results in generating new s…
cs.LG2018★ 2 cited
Using Deep Neural Network Approximate Bayesian Network
Jie Jia, Honggang Zhou, Yunchun Li
We present a new method to approximate posterior probabilities of Bayesian Network using Deep Neural Network. Experiment results on several public Bayesian Network datasets shows t…
cs.DC2018★ 6 cited
BigRoots: An Effective Approach for Root-cause Analysis of Stragglers in Big Data System
Honggang Zhou, Yunchun Li, Hailong Yang +2
Stragglers are commonly believed to have a great impact on the performance of big data system. However, the reason to cause straggler is complicated. Previous works mostly focus on…