Search Results for author: Wennan Chang

Found 7 papers, 3 papers with code

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence

1 code implementation1 Sep 2021 Wennan Chang, Pengtao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao

Compared with existing spatial regression models, our proposed model assumes the existence a few distinct regression models that are estimated based on observations that exhibit similar response-predictor relationships.



no code implementations1 Jan 2021 Pengtao Dang, Wennan Chang, Haiqi Zhu, Changlin Wan, Tong Zhao, Tingbo Guo, Paul Salama, Sha Cao, Chi Zhang

In this work, we first organize the general MLLRR problem into three subproblems based on different low rank properties , and we argue that most of existing efforts focus on only one category, which leaves the other two unsolved.

Recommendation Systems

Geometric All-Way Boolean Tensor Decomposition

1 code implementation NeurIPS 2020 Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang

Boolean tensor has been broadly utilized in representing high dimensional logical data collected on spatial, temporal and/or other relational domains.

Tensor Decomposition

Denoising individual bias for a fairer binary submatrix detection

1 code implementation31 Jul 2020 Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang

Low rank representation of binary matrix is powerful in disentangling sparse individual-attribute associations, and has received wide applications.

Attribute Clustering +2

Supervised clustering of high dimensional data using regularized mixture modeling

no code implementations19 Jul 2020 Wennan Chang, Changlin Wan, Yong Zang, Chi Zhang, Sha Cao

Identifying relationships between molecular variations and their clinical presentations has been challenged by the heterogeneous causes of a disease.

Clustering Computational Efficiency +1

Component-wise Adaptive Trimming For Robust Mixture Regression

no code implementations23 May 2020 Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao

Existing robust mixture regression methods suffer from outliers as they either conduct parameter estimation in the presence of outliers, or rely on prior knowledge of the level of outlier contamination.

Outlier Detection regression

Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation

no code implementations9 Sep 2019 Changlin Wan, Wennan Chang, Tong Zhao, Mengya Li, Sha Cao, Chi Zhang

Boolean matrix factorization (BMF) aims to find an approximation of a binary matrix as the Boolean product of two low rank Boolean matrices, which could generate vast amount of information for the patterns of relationships between the features and samples.

Computational Efficiency Denoising

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