Search Results for author: Dongxia Wu

Found 6 papers, 3 papers with code

Multi-fidelity Hierarchical Neural Processes

1 code implementation10 Jun 2022 Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu

MF-HNP is flexible enough to handle non-nested high dimensional data at different fidelity levels with varying input and output dimensions.

Epidemiology Gaussian Processes

A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations

1 code implementation19 Aug 2021 Mingren Shen, Guanzhao Li, Dongxia Wu, Yudai Yaguchi, Jack C. Haley, Kevin G. Field, Dane Morgan

The system provides analysis of features observed in TEM including both static and dynamic properties using the YOLO-based defect detection module coupled to a geometry analysis module and a dynamic tracking module.

Defect Detection object-detection +1

Multi defect detection and analysis of electron microscopy images with deep learning

no code implementations19 Aug 2021 Mingren Shen, Guanzhao Li, Dongxia Wu, YuHan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan

Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalable to large numbers of images or real-time analysis.

Defect Detection

Deep Bayesian Active Learning for Accelerating Stochastic Simulation

no code implementations5 Jun 2021 Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu

The results demonstrate that STNP outperforms the baselines in the offline learning setting and LIG achieves the state-of-the-art for Bayesian active learning.

Active Learning

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