Search Results for author: Kaiwen Wang

Found 5 papers, 2 papers with code

Partitioned Active Learning for Heterogeneous Systems

no code implementations14 May 2021 Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue

Active learning is a subfield of machine learning that focuses on improving the data collection efficiency of expensive-to-evaluate systems.

Active Learning

Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning

1 code implementation19 Dec 2020 Kaiwen Wang, Travis Dick, Maria-Florina Balcan

We provide the first utility guarantees for differentially private top-down decision tree learning in both the single machine and distributed settings.

NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis

1 code implementation12 Dec 2020 Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue

Finite element analysis (FEA) has been widely used to generate simulations of complex and nonlinear systems.

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations

no code implementations31 May 2018 Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu

The weighted feature maps are combined to produce a heatmap that highlights the important regions in the image for predicting the target concept.

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography

no code implementations16 May 2018 Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu

Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells.

Classification General Classification +2

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