Picture for Beilun Wang

Beilun Wang

Label Information Enhanced Fraud Detection against Low Homophily in Graphs

Add code
Feb 21, 2023
Viaarxiv icon

Differential Network Learning Beyond Data Samples

Add code
Apr 24, 2020
Figure 1 for Differential Network Learning Beyond Data Samples
Figure 2 for Differential Network Learning Beyond Data Samples
Figure 3 for Differential Network Learning Beyond Data Samples
Figure 4 for Differential Network Learning Beyond Data Samples
Viaarxiv icon

Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models

Add code
Nov 29, 2019
Figure 1 for Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Figure 2 for Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Figure 3 for Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Figure 4 for Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Viaarxiv icon

Sparse and Low-Rank Tensor Regression via Parallel Proximal Method

Add code
Nov 29, 2019
Figure 1 for Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
Figure 2 for Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
Figure 3 for Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
Figure 4 for Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
Viaarxiv icon

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models

Add code
Jul 17, 2018
Figure 1 for A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Figure 2 for A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Figure 3 for A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Figure 4 for A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
Viaarxiv icon

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

Add code
May 23, 2018
Figure 1 for Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Figure 2 for Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Figure 3 for Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Figure 4 for Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Viaarxiv icon

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

Add code
Mar 20, 2018
Figure 1 for A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Figure 2 for A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Figure 3 for A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
Viaarxiv icon

A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples

Add code
Sep 27, 2017
Figure 1 for A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Figure 2 for A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Figure 3 for A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Figure 4 for A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Viaarxiv icon

A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs

Add code
Sep 21, 2017
Figure 1 for A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs
Figure 2 for A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs
Figure 3 for A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs
Figure 4 for A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs
Viaarxiv icon

GaKCo: a Fast GApped k-mer string Kernel using COunting

Add code
Sep 18, 2017
Figure 1 for GaKCo: a Fast GApped k-mer string Kernel using COunting
Figure 2 for GaKCo: a Fast GApped k-mer string Kernel using COunting
Figure 3 for GaKCo: a Fast GApped k-mer string Kernel using COunting
Figure 4 for GaKCo: a Fast GApped k-mer string Kernel using COunting
Viaarxiv icon