22 citations · 46 across the 4 of their papers we have counts for
4 papers
Dynamic Graph Representation Learning for Depression Screening with Transformer
Ai-Te Kuo, Haiquan Chen, Yu-Hsuan Kuo +1
Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental…
Detecting Outliers in Data with Correlated Measures
Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer
Advances in sensor technology have enabled the collection of large-scale datasets. Such datasets can be extremely noisy and often contain a significant amount of outliers that resu…
Differentially Private Hierarchical Count-of-Counts Histograms
Yu-Hsuan Kuo, Cho-Chun Chiu, Daniel Kifer +2
We consider the problem of privately releasing a class of queries that we call hierarchical count-of-counts histograms. Count-of-counts histograms partition the rows of an input ta…
A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data
Hongjian Wang, Zhenhui Li, Yu-Hsuan Kuo +1
The increased availability of large-scale trajectory data around the world provides rich information for the study of urban dynamics. For example, New York City Taxi Limousine Comm…