35 citations · 37 across the 4 of their papers we have counts for
4 papers
Structured Nonparametric Variational Inference for Dependent Latent Modeling
Yuda Shao, Zhiling Gu, Shan Yu
Variational inference (VI) is a core engine of modern AI, enabling scalable approximate Bayesian learning and uncertainty-aware training of large probabilistic and generative model…
TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data
Zhiling Gu, Shan Yu, Guannan Wang +2
Surface-based data is commonly observed in diverse practical applications spanning various fields. In this paper, we introduce a novel nonparametric method to discover the underlyi…
Comparing and Integrating US COVID-19 Data from Multiple Sources with Anomaly Detection and Repairing
Guannan Wang, Zhiling Gu, Xinyi Li +5
Over the past few months, the outbreak of Coronavirus disease (COVID-19) has been expanding over the world. A reliable and accurate dataset of the cases is vital for scientists to…
Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
Li Wang, Guannan Wang, Lei Gao +5
Epidemic modeling is an essential tool to understand the spread of the novel coronavirus and ultimately assist in disease prevention, policymaking, and resource allocation. In this…