15 citations · 23 across the 7 of their papers we have counts for
7 papers
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
Chen Wang, Chengyuan Deng, Suzhen Wang
The paper presents Imbalance-XGBoost, a Python package that combines the powerful XGBoost software with weighted and focal losses to tackle binary label-imbalanced classification t…
Forwarding and Optical Indices in an All-Optical BCube Network
Suzhen Wang, Jingjing Luo, Yuan-Hsun Lo +1
BCube is a highly scalable and cost-effective networking topology, which has been widely applied to modular datacenters. Optical technologies based on Wavelength Division Multiplex…
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…
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…
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…
New Accumulative Score Function Based Bound For Sparsity Level of L1 Minimization
Sheng Han, Suzhen Wang, Zhiguo Zhang
This paper discusses a fundamental problem in compressed sensing: the sparse recoverability of L1 minimization with an arbitrary sensing matrix. We develop an new accumulative scor…