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
160 2017 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
110 2017 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
40 2016 GaKCo: A Fast Ga pped k -mer String K ernel Using Co unting R Singh, A Sekhon, K Kowsari, J Lanchantin, B Wang, Y Qi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
28 2017 Deepmask: Masking dnn models for robustness against adversarial samples J Gao, B Wang, Y Qi
arXiv preprint arXiv:1702.06763 22, 2017
18 2017 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
15 2023 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
14 2017 Cascade and fusion: A deep learning approach for camouflaged object sensing K Huang, C Li, J Zhang, B Wang
Sensors 21 (16), 5455, 2021
13 2021 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
11 2020 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
11 2020 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
10 2022 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
9 2018 Pacific Symposium on Biocomputing 2017 J Lanchantin, R Singh, B Wang, Y Qi
World Scientific, Kohala Coast, Hawaii, USA,, 2017
8 2017 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
8 2016 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
8 2016 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
7 2017 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
7 2017 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
6 2018 A difference standardization method for mutual transfer learning H Xu, M Wang, B Wang
International Conference on Machine Learning, 24683-24697, 2022
5 2022