12 citations · 19 across the 5 of their papers we have counts for
6 papers
Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence
Wennan Chang, Pengtao Dang, Changlin Wan +7
In this paper, we propose a Spatial Robust Mixture Regression model to investigate the relationship between a response variable and a set of explanatory variables over the spatial…
Denoising individual bias for a fairer binary submatrix detection
Changlin Wan, Wennan Chang, Tong Zhao +2
Low rank representation of binary matrix is powerful in disentangling sparse individual-attribute associations, and has received wide applications. Existing binary matrix factoriza…
Supervised clustering of high dimensional data using regularized mixture modeling
Wennan Chang, Changlin Wan, Yong Zang +2
Identifying relationships between molecular variations and their clinical presentations has been challenged by the heterogeneous causes of a disease. It is imperative to unveil the…
Geometric All-Way Boolean Tensor Decomposition
Changlin Wan, Wennan Chang, Tong Zhao +2
Boolean tensor has been broadly utilized in representing high dimensional logical data collected on spatial, temporal and/or other relational domains. Boolean Tensor Decomposition…
Component-wise Adaptive Trimming For Robust Mixture Regression
Wennan Chang, Xinyu Zhou, Yong Zang +2
Parameter estimation of mixture regression model using the expectation maximization (EM) algorithm is highly sensitive to outliers. Here we propose a fast and efficient robust mixt…
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation
Changlin Wan, Wennan Chang, Tong Zhao +3
Boolean matrix has been used to represent digital information in many fields, including bank transaction, crime records, natural language processing, protein-protein interaction, e…