Yisen Wang
Yisen Wang
Department of Computer Science and Technology, Tsinghua University
Verified email at mails.tsinghua.edu.cn - Homepage
TitleCited byYear
Characterizing adversarial subspaces using local intrinsic dimensionality
X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ...
ICLR2018, 2018
Dimensionality-Driven Learning with Noisy Labels
X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ...
ICML2018, 2018
Iterative Learning with Open-set Noisy Labels
Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia
CVPR2018, 2018
Residual convolutional CTC networks for automatic speech recognition
Y Wang, X Deng, S Pu, Z Huang
arXiv preprint arXiv:1702.07793, 2017
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
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
Decoupled networks
W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
CVPR2018, 2771-2779, 2018
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
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
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
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
A novel consistent random forest framework: Bernoulli random forests
Y Wang, ST Xia, Q Tang, J Wu, X Zhu
IEEE Transactions on Neural Networks and Learning Systems 29 (8), 3510-3523, 2017
Bernoulli random forests: Closing the gap between theoretical consistency and empirical soundness
W Yisen, T Qingtao, ST Xia, J Wu, X Zhu
IJCAI: International Joint Conference on Artificial Intelligence, 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
A novel feature subspace selection method in random forests for high dimensional data
Y Wang, ST Xia
2016 International Joint Conference on Neural Networks (IJCNN), 4383-4389, 2016
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
Student-t Process Regression with Student-t Likelihood.
Q Tang, L Niu, Y Wang, T Dai, W An, J Cai, ST Xia
IJCAI, 2822-2828, 2017
Improving decision trees by Tsallis Entropy Information Metric method
Y Wang, C Song, ST Xia
2016 International Joint Conference on Neural Networks (IJCNN), 4729-4734, 2016
On the Convergence and Robustness of Adversarial Training
Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu
ICML2019, 6586-6595, 2019
Learning deep hidden nonlinear dynamics from aggregate data
Y Wang, B Dai, L Kong, X Ma, SM Erfani, J Bailey, ST Xia, L Song, H Zha
UAI2018, 2018
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