Beilun Wang
Beilun Wang
PhD student of Computer Science, University of Virginia
Verified email at virginia.edu
Title
Cited by
Cited by
Year
Deep motif dashboard: Visualizing and understanding genomic sequences using deep neural networks
J Lanchantin, R Singh, B Wang, Y Qi
Pacific Symposium on Biocomputing 2017, 254-265, 2017
652017
A theoretical framework for robustness of (deep) classifiers under adversarial noise
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1612.00334, 2016
282016
Deepcloak: Masking deep neural network models for robustness against adversarial samples
J Gao, B Wang, Z Lin, W Xu, Y Qi
arXiv preprint arXiv:1702.06763, 2017
252017
A theoretical framework for robustness of (deep) classifiers against adversarial examples
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1612.00334, 2016
23*2016
Deepmask: Masking dnn models for robustness against adversarial samples
J Gao, B Wang, Y Qi
arXiv preprint arXiv:1702.06763 22, 2017
82017
GaKCo: A Fast Gapped k-mer String Kernel Using Counting
R Singh, A Sekhon, K Kowsari, J Lanchantin, B Wang, Y Qi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
62017
A constrained 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models
B Wang, R Singh, Y Qi
Machine Learning 106 (9-10), 1381-1417, 2017
52017
A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs
C Singh, B Wang, Y Qi
arXiv preprint arXiv:1709.04090, 2017
42017
Kernelized information-theoretic metric learning for cancer diagnosis using high-dimensional molecular profiling data
F Xiong, M Kam, L Hrebien, B Wang, Y Qi
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 1-23, 2016
32016
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
B Wang, A Sekhon, Y Qi
arXiv preprint arXiv:1806.00548, 2018
22018
Fast and scalable learning of sparse changes in high-dimensional gaussian graphical model structure
B Wang, A Sekhon, Y Qi
arXiv preprint arXiv:1710.11223, 2017
22017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1702.02715, 2017
22017
Differential Network Learning Beyond Data Samples
A Sekhon, B Wang, Z Wang, Y Qi
arXiv preprint arXiv:2004.11494, 2020
2020
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
J Zhang, B Wang
arXiv preprint arXiv:1912.01450, 2019
2019
Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
J Zhang, B Wang
arXiv preprint arXiv:1911.12965, 2019
2019
JointNets: an End-to-end R package for sparse Gaussian graphical model
Z Wang, B Wang, A Sekhon, Y Qi
2019
Adding Extra Knowledge in Scalable Learning of Sparse Differential Gaussian Graphical Models
A Sekhon, B Wang, Y Qi
bioRxiv, 716852, 2019
2019
ATheoretical FRAMEWORK FOR ROBUSTNESS OF (DEEP) CLASSIFIERS AGAINST ADVERSARIAL SAMPLES
B Wang, J Gao, Y Qi
Supplementaray Document for GaKCo: a Fast Gapped k-mer string Kernel using Counting
R Singh, A Sekhon, J Lanchantin, K Kowsari, B Wang, Y Qi
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