7 citations · 13 across the 6 of their papers we have counts for
6 papers
Multivariate Regression of Mixed Responses for Evaluation of Visualization Designs
Xiaoning Kang, Xiaoyu Chen, Ran Jin +2
Information visualization significantly enhances human perception by graphically representing complex data sets. The variety of visualization designs makes it challenging to effici…
Interactive and Iterative Discovery of Entity Network Subgraphs
Hao Wu, Maoyuan Sun, Jilles Vreeken +3
Graph mining to extract interesting components has been studied in various guises, e.g., communities, dense subgraphs, cliques. However, most existing works are based on notions of…
Forecasting the Flu: Designing Social Network Sensors for Epidemics
Huijuan Shao, K. S. M. Tozammel Hossain, Hao Wu +5
Early detection and modeling of a contagious epidemic can provide important guidance about quelling the contagion, controlling its spread, or the effective design of countermeasure…
Generating Realistic Synthetic Population Datasets
Hao Wu, Yue Ning, Prithwish Chakraborty +3
Modern studies of societal phenomena rely on the availability of large datasets capturing attributes and activities of synthetic, city-level, populations. For instance, in epidemio…
Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data
Hao Wu, Xinwei Deng, Naren Ramakrishnan
Modeling data with multivariate count responses is a challenging problem due to the discrete nature of the responses. Existing methods for univariate count responses cannot be easi…
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models
Hao Wu, Maoyuan Sun, Peng Mi +3
Modern visual analytic tools promote human-in-the-loop analysis but are limited in their ability to direct the user toward interesting and promising directions of study. This probl…