276 citations · 288 across the 6 of their papers we have counts for
10 papers
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran +2
Several techniques for multivariate time series anomaly detection have been proposed recently, but a systematic comparison on a common set of datasets and metrics is lacking. This…
POLA: Online Time Series Prediction by Adaptive Learning Rates
Wenyu Zhang
Online prediction for streaming time series data has practical use for many real-world applications where downstream decisions depend on accurate forecasts for the future. Deployme…
Robust Domain-Free Domain Generalization with Class-aware Alignment
Wenyu Zhang, Mohamed Ragab, Ramon Sagarna
While deep neural networks demonstrate state-of-the-art performance on a variety of learning tasks, their performance relies on the assumption that train and test distributions are…
HALO: Learning to Prune Neural Networks with Shrinkage
Skyler Seto, Martin T. Wells, Wenyu Zhang
Deep neural networks achieve state-of-the-art performance in a variety of tasks by extracting a rich set of features from unstructured data, however this performance is closely tie…
Modeling a Nonlinear Biophysical Trend Followed by Long-Memory Equilibrium with Unknown Change Point
Wenyu Zhang, Maryclare Griffin, David S. Matteson
Measurements of many biological processes are characterized by an initial trend period followed by an equilibrium period. Scientists may wish to quantify features of the two period…
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Wenyu Zhang, Skyler Seto, Devesh K. Jha
Learning accurate models of the physical world is required for a lot of robotic manipulation tasks. However, during manipulation, robots are expected to interact with unknown workp…