| 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 | 152 | 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 | 103 | 2017 |
| A theoretical framework for robustness of (deep) classifiers against adversarial examples B Wang, J Gao, Y Qi arXiv preprint arXiv:1612.00334, 2016 | 39* | 2016 |
| A theoretical framework for robustness of (deep) classifiers under adversarial noise B Wang, J Gao, Y Qi arXiv preprint arXiv:1612.00334, 2016 | 39 | 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 | 26 | 2017 |
| Deepmask: Masking dnn models for robustness against adversarial samples J Gao, B Wang, Y Qi arXiv preprint arXiv:1702.06763 22, 2017 | 17 | 2017 |
| 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 | 13 | 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 | 11 | 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 | 9 | 2020 |
| 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 | 9 | 2020 |
| 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 |
| 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 | 5 | 2022 |
| 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 | 5 | 2018 |
| 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 | 3 | 2023 |
| A Difference Standardization Method for Mutual Transfer Learning H Xu, M Wang, B Wang International Conference on Machine Learning, 24683-24697, 2022 | 3 | 2022 |
