126 citations · 241 across the 7 of their papers we have counts for
9 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…
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…
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Xin Luna Dong, Xiang He, Andrey Kan +19
Can one build a knowledge graph (KG) for all products in the world? Knowledge graphs have firmly established themselves as valuable sources of information for search and question a…
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
Namyong Park, Andrey Kan, Xin Luna Dong +2
Given multiple input signals, how can we infer node importance in a knowledge graph (KG)? Node importance estimation is a crucial and challenging task that can benefit a lot of app…
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Yuning Mao, Tong Zhao, Andrey Kan +4
Taxonomies have found wide applications in various domains, especially online for item categorization, browsing, and search. Despite the prevalent use of online catalog taxonomies,…