2 citations · 6 across the 5 of their papers we have counts for
5 papers
ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data
Michael Biehler, Hao Yan, Jianjun Shi
Unstructured point clouds with varying sizes are increasingly acquired in a variety of environments through laser triangulation or Light Detection and Ranging (LiDAR). Predicting a…
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction
Xinyu Zhao, Hao Yan, Zhiyong Hu +1
Electrical conduction among cardiac tissue is commonly modeled with partial differential equations, i.e., reaction-diffusion equation, where the reaction term describes cellular st…
Adaptive Change Point Monitoring for High-Dimensional Data
Teng Wu, Runmin Wang, Hao Yan +1
In this paper, we propose a class of monitoring statistics for a mean shift in a sequence of high-dimensional observations. Inspired by the recent U-statistic based retrospective t…
Partially Observable Online Change Detection via Smooth-Sparse Decomposition
Jie Guo, Hao Yan, Chen Zhang +1
We consider online change detection of high dimensional data streams with sparse changes, where only a subset of data streams can be observed at each sensing time point due to limi…
Rapid Detection of Hot-spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
Yujie Zhao, Hao Yan, Sarah E. Holte +2
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, daily/weekly/monthly. In these applications,…