متابعة
Yisen Wang
Yisen Wang
Assistant Professor, Peking University
بريد إلكتروني تم التحقق منه على pku.edu.cn - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Symmetric cross entropy for robust learning with noisy labels‏
Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey‏
ICCV 2019, 2019‏
11282019
Characterizing adversarial subspaces using local intrinsic dimensionality‏
X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ...‏
ICLR2018, 2018‏
8632018
Improving Adversarial Robustness Requires Revisiting Misclassified Examples‏
Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu‏
ICLR2020, 2020‏
8602020
Adversarial Weight Perturbation Helps Robust Generalization‏
D Wu, S Xia, Y Wang‏
NeurIPS 2020, 2020‏
8112020
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
5482019
Normalized Loss Functions for Deep Learning with Noisy Labels‏
X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey‏
ICML2020, 2020‏
5162020
Dimensionality-Driven Learning with Noisy Labels‏
X Ma*, Y Wang*, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ...‏
ICML2018, 2018‏
4802018
On the Convergence and Robustness of Adversarial Training‏
Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu‏
ICML2019, 2019‏
4362019
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets‏
D Wu, Y Wang, ST Xia, J Bailey, X Ma‏
ICLR2020, 2020‏
3992020
Iterative Learning with Open-set Noisy Labels‏
Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia‏
CVPR2018, 2018‏
3772018
Adversarial Neuron Pruning Purifies Backdoored Deep Models‏
D Wu, Y Wang‏
NeurIPS 2021, 2021‏
3102021
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles‏
R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang‏
CVPR2020, 2020‏
2662020
Unlearnable Examples: Making Personal Data Unexploitable‏
H Huang, X Ma, SM Erfani, J Bailey, Y Wang‏
ICLR 2021, 2021‏
1982021
Jailbreak and guard aligned language models with only few in-context demonstrations‏
Z Wei, Y Wang, A Li, Y Mo, Y Wang‏
arXiv preprint arXiv:2310.06387, 2023‏
1782023
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation‏
Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo‏
CVPR 2022, 2022‏
1642022
Improving adversarial robustness via channel-wise activation suppressing‏
Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang‏
ICLR 2021, 2021‏
1442021
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap‏
Y Wang, Q Zhang, Y Wang, J Yang, Z Lin‏
ICLR 2022, 2022‏
1402022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks‏
H Huang, Y Wang, S Erfani, Q Gu, J Bailey, X Ma‏
NeurIPS 2021, 2021‏
1162021
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
115*2017
Leveraged Weighted Loss for Partial Label Learning‏
H Wen, J Cui, H Hang, J Liu, Y Wang, Z Lin‏
ICML 2021, 2021‏
1122021
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مقالات 1–20