Yisen Wang

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	总计	2018 年至今
引用	5141	5084
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i10 指数	49	44

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Xingjun MaAssociate Professor, School of Computer Science, Fudan University在 unimelb.edu.au 的电子邮件经过验证
James BaileyProfessor, School of Computing and Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung Research在 pku.edu.cn 的电子邮件经过验证
Yifei Wang (王一飞)PhD candidate, Peking University在 pku.edu.cn 的电子邮件经过验证
Dongxian WuPostdoctoral Researcher, University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
Quanquan GuAssociate Professor of Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Michael E. HoulePrincipal Fellow, School of Computing and Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Bo LiUniversity of Illinois at Urbana–Champaign在 illinois.edu 的电子邮件经过验证
Le SongBiomap, Mohamed bin Zayed University of Artificial Intelligence在 biomap.com 的电子邮件经过验证
Weiyang LiuUniversity of Cambridge & Max Planck Institute for Intelligent Systems在 cam.ac.uk 的电子邮件经过验证
Dawn SongProfessor of Computer Science, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Hongyuan ZhaThe Chinese University of Hong Kong, Shenzhen在 cuhk.edu.cn 的电子邮件经过验证
Xingquan (Hill) ZhuIEEE Fellow, Dept. of Electrical Eng. and Comp. Science, Florida Atlantic University在 fau.edu 的电子邮件经过验证
Zhi-Hua ZhouNanjing University在 nju.edu.cn 的电子邮件经过验证

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Yisen Wang

Assistant Professor, Peking University

在 pku.edu.cn 的电子邮件经过验证 - 首页

Machine Learning Self-Supervised Learning Adversarial Learning Graph Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ... ICLR2018, 2018	625	2018
Symmetric cross entropy for robust learning with noisy labels Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey ICCV 2019, 2019	567	2019
Improving Adversarial Robustness Requires Revisiting Misclassified Examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR2020, 2020	442	2020
Adversarial Weight Perturbation Helps Robust Generalization D Wu, S Xia, Y Wang NeurIPS 2020, 2020	407	2020
Dimensionality-Driven Learning with Noisy Labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML2018, 2018	346	2018
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML2019, 2019	281	2019
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	272	2019
Iterative Learning with Open-set Noisy Labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR2018, 2018	261	2018
Normalized Loss Functions for Deep Learning with Noisy Labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey ICML2020, 2020	233	2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets D Wu, Y Wang, ST Xia, J Bailey, X Ma ICLR2020, 2020	206	2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang CVPR2020, 2020	142	2020
Residual convolutional CTC networks for automatic speech recognition Y Wang, X Deng, S Pu, Z Huang arXiv preprint arXiv:1702.07793, 2017	88	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	82	2017
Adversarial Neuron Pruning Purifies Backdoored Deep Models D Wu, Y Wang NeurIPS 2021, 2021	80	2021
Improving adversarial robustness via channel-wise activation suppressing Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang ICLR 2021, 2021	72	2021
Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, SM Erfani, J Bailey, Y Wang ICLR 2021, 2021	67	2021
Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song CVPR2018, 2771-2779, 2018	58	2018
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? D Zhang, K Ahuja, Y Xu, Y Wang, A Courville ICML 2021, 2021	53	2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks H Huang, Y Wang, S Erfani, Q Gu, J Bailey, X Ma NeurIPS 2021, 2021	49	2021
A unified approach to interpreting and boosting adversarial transferability X Wang, J Ren, S Lin, X Zhu, Y Wang, Q Zhang ICLR 2021, 2020	49	2020

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