| Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ... ICLR2018, 2018 | 191 | 2018 |
| Dimensionality-Driven Learning with Noisy Labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML2018, 2018 | 95 | 2018 |
| Iterative Learning with Open-set Noisy Labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR2018, 2018 | 79 | 2018 |
| Residual convolutional CTC networks for automatic speech recognition Y Wang, X Deng, S Pu, Z Huang arXiv preprint arXiv:1702.07793, 2017 | 46 | 2017 |
| On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML2019, 6586-6595, 2019 | 34 | 2019 |
| Symmetric cross entropy for robust learning with noisy labels Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey ICCV, 322-330, 2019 | 27 | 2019 |
| A novel consistent random forest framework: Bernoulli random forests Y Wang, ST Xia, Q Tang, J Wu, X Zhu TNNLS & IJCAI2016, 2017 | 24* | 2017 |
| Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song CVPR2018, 2771-2779, 2018 | 19 | 2018 |
| Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems X Ma, Y Niu, L Gu, Y Wang, Y Zhao, J Bailey, F Lu Pattern Recognition, 2019 | 17 | 2019 |
| Collaborative representation cascade for single-image super-resolution Y Zhang, Y Zhang, J Zhang, D Xu, Y Fu, Y Wang, X Ji, Q Dai IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (5), 845-860, 2017 | 17 | 2017 |
| A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification Y Wang, ST Xia, J Wu Knowledge-Based Systems 120, 34-42, 2017 | 17 | 2017 |
| Improving Adversarial Robustness Requires Revisiting Misclassified Examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR2020, 2020 | 14 | 2020 |
| Unifying attribute splitting criteria of decision trees by Tsallis entropy Y Wang, ST Xia ICASSP: 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 14* | 2017 |
| Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets D Wu, Y Wang, ST Xia, J Bailey, X Ma ICLR2020, 2020 | 11 | 2020 |
| End-to-end coding for TCP Yong Cui, Lian Wang, Xin Wang, Yisen Wang, Fengyuan Ren, Shu-Tao Xia IEEE Network 30 (2), 68-73, 2016 | 10* | 2016 |
| Hilbert-Based Generative Defense for Adversarial Examples Y Bai, Y Feng, Y Wang, T Dai, ST Xia, Y Jiang ICCV, 4784-4793, 2019 | 7 | 2019 |
| A generic denoising framework via guided principal component analysis T Dai, Z Xu, H Liang, K Gu, Q Tang, Y Wang, W Lu, ST Xia Journal of Visual Communication and Image Representation 48, 340-352, 2017 | 7 | 2017 |
| Link sign prediction by variational bayesian probabilistic matrix factorization with student-t prior Y Wang, F Liu, ST Xia, J Wu Information Sciences 405, 175-189, 2017 | 7 | 2017 |
| Student-t Process Regression with dependent Student-t noise Q Tang, Y Wang, ST Xia ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 August-2 …, 2016 | 7 | 2016 |
| Unbiased Multivariate Correlation Analysis Y Wang, S Romano, V Nguyen, J Bailey, X Ma, ST Xia AAAI: Proceedings of the Thirty-First AAAI Conference on Artificial …, 2017 | 6 | 2017 |
Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
