6 citations · 8 across the 5 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
stat.ME2021★ 2 cited
A General Modeling Framework for Network Autoregressive Processes
Hang Yin, Abolfazl Safikhani, George Michailidis
The paper develops a general flexible framework for Network Autoregressive Processes (NAR), wherein the response of each node linearly depends on its past values, a prespecified li…
cs.LG2021★ 6 cited
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming, Hang Yin, Yixuan Li
Modern neural networks can assign high confidence to inputs drawn from outside the training distribution, posing threats to models in real-world deployments. While much research at…
cs.LG2021
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks
Hang Yin, Xinyue Liu, Xiangnan Kong
Sparse inverse covariance estimation (i.e., edge de-tection) is an important research problem in recent years, wherethe goal is to discover the direct connections between a set ofn…