Follow
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
1572017
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
1072017
A theoretical framework for robustness of (deep) classifiers against adversarial examples
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1612.00334, 2016
43*2016
A theoretical framework for robustness of (deep) classifiers under adversarial noise
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1612.00334, 2016
392016
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
272017
Deepmask: Masking dnn models for robustness against adversarial samples
J Gao, B Wang, Y Qi
arXiv preprint arXiv:1702.06763 22, 2017
182017
Label information enhanced fraud detection against low homophily in graphs
Y Wang, J Zhang, Z Huang, W Li, S Feng, Z Ma, Y Sun, D Yu, F Dong, ...
Proceedings of the ACM Web Conference 2023, 406-416, 2023
142023
A constrained 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models
B Wang, R Singh, Y Qi
Machine Learning 106, 1381-1417, 2017
142017
Cascade and fusion: A deep learning approach for camouflaged object sensing
K Huang, C Li, J Zhang, B Wang
Sensors 21 (16), 5455, 2021
132021
How decisions are made in brains: Unpack “black box” of CNN with Ms. Pac-Man video game
B Wang, R Ma, J Kuang, Y Zhang
IEEE Access 8, 142446-142458, 2020
112020
Quadratic sparse gaussian graphical model estimation method for massive variables
J Zhang, M Wang, Q Li, S Wang, X Chang, B Wang
International Joint Conference on Artificial Intelligence-Pacific Rim …, 2020
112020
Fast and scalable learning of sparse changes in high-dimensional gaussian graphical model structure
B Wang, Y Qi
International Conference on Artificial Intelligence and Statistics, 1691-1700, 2018
92018
TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system
B Wang, H Xu, C Li, Y Li, M Wang
Knowledge-Based Systems 257, 109903, 2022
82022
Pacific Symposium on Biocomputing 2017
J Lanchantin, R Singh, B Wang, Y Qi
World Scientific, Kohala Coast, Hawaii, USA,, 2017
82017
Deep gdashboard: Visualizing and understanding genomic sequences using deep neural networks
J Lanchantin, R Singh, B Wang, Y Qi
arXiv preprint arXiv:1608.03644, 2016
82016
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
82016
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
72017
A fast and scalable joint estimator for learning multiple related sparse gaussian graphical models
B Wang, J Gao, Y Qi
Artificial Intelligence and Statistics, 1168-1177, 2017
72017
A fast and scalable joint estimator for integrating additional knowledge in learning multiple related sparse Gaussian graphical models
B Wang, A Sekhon, Y Qi
International Conference on Machine Learning, 5161-5170, 2018
62018
A difference standardization method for mutual transfer learning
H Xu, M Wang, B Wang
International Conference on Machine Learning, 24683-24697, 2022
52022
The system can't perform the operation now. Try again later.
Articles 1–20