Beilun Wang

发表

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

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2017, AISTATS.

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

Beilun Wang, Yanjun Qi, Chandan Singh, 2017, ArXiv.

Fast and Scalable Joint Estimators for Learning SparseGaussian Graphical Models from Heterogeneous Data with AdditionalKnowledge

Beilun Wang, 2018 .

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

Beilun Wang, Yanjun Qi, Ji Gao, 2017, AISTATS.

A constrained $$\ell $$ℓ1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models

Beilun Wang, Yanjun Qi, Ritambhara Singh, 2016, Machine Learning.

Adding Extra Knowledge in Scalable Learning of Sparse Differential Gaussian Graphical Models

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2019, bioRxiv.

DeepMask: Masking DNN Models for robustness against adversarial samples pdf

Beilun Wang, Yanjun Qi, Ji Gao, 2017, ArXiv.

GaKCo: a Fast Gapped k-mer string Kernel using Counting pdf

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2017, bioRxiv.

Differential Network Learning Beyond Data Samples pdf

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2020, ArXiv.

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks

Beilun Wang, Yanjun Qi, Ritambhara Singh, 2016, PSB.

How Decisions Are Made in Brains: Unpack “Black Box” of CNN With Ms. Pac-Man Video Game

Beilun Wang, Yan Zhang, Rui Ma, 2020, IEEE Access.

Sparse and Low-Rank Tensor Regression via Parallel Proximal Method pdf

Beilun Wang, Jiaqi Zhang, Jiaqi Zhang, 2019, ArXiv.

DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples

Beilun Wang, Yanjun Qi, Ji Gao, 2017, ICLR.

A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models [R package simule version 1.3.0]

Beilun Wang, Yanjun Qi, Zhaoyang Wang, 2018 .

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data

Beilun Wang, Yanjun Qi, Moshe Kam, 2016, ACM Trans. Knowl. Discov. Data.

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

Beilun Wang, Jiaqi Zhang, Beilun Wang, 2019, ArXiv.

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

Beilun Wang, Yanjun Qi, Ji Gao, 2016, ICLR 2017.

Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks pdf

Beilun Wang, Yanjun Qi, Ritambhara Singh, 2016, ArXiv.

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables

Beilun Wang, Sen Wang, Xiaojun Chang, 2020, IJCAI.

Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing

Beilun Wang, Chunshu Li, Kaihong Huang, 2021, Sensors.

Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network

Beilun Wang, Sen Wang, Yan Zhang, 2021, ACM Trans. Sens. Networks.

GaKCo: a Fast Gapped k-mer string Kernel using Counting

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2018 .