4 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ME2018★ 4 cited
Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data
Chen Wang, Suzhen Wang, Fuyan Shi +1
In biostatistics, propensity score is a common approach to analyze the imbalance of covariate and process confounding covariates to eliminate differences between groups. While ther…
cs.DC2017★ 4 cited
Randomized Load-balanced Routing for Fat-tree Networks
Suzhen Wang, Jingjing Luo, Bruce Kwong-Bun Tong +1
Fat-tree networks have been widely adopted to High Performance Computing (HPC) clusters and to Data Center Networks (DCN). These parallel systems usually have a large number of ser…
stat.ME2015
Sparsest Error Detection via Sparsity Invariant Transformation based Minimization
Suzhen Wang, Sheng Han, Zhiguo Zhang +1
This paper presents a new method, referred to here as the sparsity invariant transformation based minimization, to solve the minimization problem for an over-dete…