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Beilun Wang
Beilun Wang
PhD student of Computer Science, University of Virginia
Bestätigte E-Mail-Adresse bei virginia.edu
Titel
Zitiert von
Zitiert von
Jahr
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
1332017
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
842017
A theoretical framework for robustness of (deep) classifiers under adversarial noise
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1612.00334, 2016
372016
A theoretical framework for robustness of (deep) classifiers against adversarial examples
B Wang, J Gao, Y Qi
arXiv preprint arXiv:1612.00334, 2016
35*2016
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
132017
A constrained ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models
B Wang, R Singh, Y Qi
Machine Learning 106 (9), 1381-1417, 2017
122017
Deepmask: Masking dnn models for robustness against adversarial samples
J Gao, B Wang, Y Qi
arXiv preprint arXiv:1702.06763 22, 2017
112017
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
82018
Pacific Symposium on Biocomputing 2017
J Lanchantin, R Singh, B Wang, Y Qi
World Scientific, Kohala Coast, Hawaii, USA,, 2017
82017
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables.
J Zhang, M Wang, Q Li, S Wang, X Chang, B Wang
IJCAI, 2964-2972, 2020
72020
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
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
72016
Deep gdashboard: Visualizing and understanding genomic sequences using deep neural networks
J Lanchantin, R Singh, B Wang, Y Qi
72016
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
62017
Deepcloak: Masking DNN models for robustness against adversarial samples
J Gao, B Wang, Y Qi
arXiv preprint arXiv:1702.06763, 2017
52017
Cascade and fusion: A deep learning approach for camouflaged object sensing
K Huang, C Li, J Zhang, B Wang
Sensors 21 (16), 5455, 2021
42021
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
42018
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
32020
A Difference Standardization Method for Mutual Transfer Learning
H Xu, M Wang, B Wang
International Conference on Machine Learning, 24683-24697, 2022
12022
Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network
B Wang, J Zhang, Y Zhang, M Wang, S Wang
ACM Transactions on Sensor Networks (TOSN) 17 (3), 1-33, 2021
12021
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