引用次数
引用: 8,260
H-指数: 35
I10-指数 : 66
出版物: 102
Efficient equivariant network
He , Lingshen and Chen , Yuxuan and Dong , Yiming and Wang
Advances in Neural Information Processing Systems 34 5290 -5302
10
2021
Student-t Process Regression with Dependent Student-t Noise
Shu-Tao Xia , Yisen Wang , Qingtao Tang
european conference on artificial intelligence 82 -89
3
2016
Unbiased multivariate correlation analysis
James Bailey , Shu-Tao Xia , Simone Romano , Yisen Wang
national conference on artificial intelligence 2754 -2760
19
2017
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Sarah M. Erfani , Grant Schoenebeck , Sudanthi Wijewickrema , Michael E. Houle
arXiv: Learning
579
2018
Dimensionality-Driven Learning with Noisy Labels
Sarah M. Erfani , Sudanthi Wijewickrema , Michael E. Houle , James Bailey
arXiv: Computer Vision and Pattern Recognition
327
2018
On the convergence and robustness of adversarial training
Jinfeng Yi , James Bailey , Bowen Zhou , Quanquan Gu
international conference on machine learning 6586 -6595
252
2019
Decoupled Networks.
Bo Dai , Le Song , Zhiding Yu , James M. Rehg
arXiv: Computer Vision and Pattern Recognition
54
2018
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Yitian Zhao , James Bailey , Feng Lu , Yisen Wang
arXiv: Computer Vision and Pattern Recognition
246
2019
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
James Bailey , Shu-Tao Xia , Yisen Wang , Xingjun Ma
arXiv: Learning
175
2020
Normalized Loss Functions for Deep Learning with Noisy Labels
Sarah Erfani , James Bailey , Simone Romano , Yisen Wang
arXiv: Learning
200
2020
Adversarial Weight Perturbation Helps Robust Generalization
Shu-tao Xia , Yisen Wang , Dongxian Wu
arXiv: Learning
337
2020
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space
James Bailey , Yu-Gang Jiang , Yisen Wang , Xingjun Ma
arXiv: Computer Vision and Pattern Recognition
11
2021
Unlearnable Examples: Making Personal Data Unexploitable
Sarah Monazam Erfani , James Bailey , Yisen Wang , Xingjun Ma
international conference on learning representations
50
2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Shu-Tao Xia , Yisen Wang , Yong Jiang , Xingjun Ma
international conference on learning representations
61
2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks.
Yisen Wang , Zhouchen Lin , Jiansheng Yang , Yifei Wang
arXiv: Learning
21
2021
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Quanshi Zhang , Yisen Wang , Xin Wang , Jie Ren
international conference on learning representations
40
2020
A generic denoising framework via guided principal component analysis
Tao Dai , Zhiya Xu , Haoyi Liang , Ke Gu
Journal of Visual Communication and Image Representation 48 340 -352
6
2017
Self-Attentive Networks for one-shot Image Recognition
Pin Fang , Yisen Wang , Yuan Luo
2019 IEEE International Conference on Multimedia and Expo (ICME) 934 -939
2019
End-to-end coding for TCP
Yong Cui , Lian Wang , Xin Wang , Yisen Wang
IEEE Network 30 ( 2) 68 -73
7
2016
Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior
Yisen Wang , Fangbing Liu , Shu-Tao Xia , Jia Wu
Information Sciences 405 ( 405) 175 -189
9
2017