Yisen Wang

Cited by

	All	Since 2016
Citations	1030	1026
h-index	15	15
i10-index	19	19

580

290

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435

2017201820192020202139 101 288 573 9

Co-authors

Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Xingjun MaLecturer@Deakin University, Honorary@University of MelbourneVerified email at unimelb.edu.au
Michael E. HouleNational Institute of Informatics, JapanVerified email at nii.ac.jp
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
JIA WUMacquarie UniversityVerified email at mq.edu.au
Weiyang LiuUniversity of Cambridge, MPI TübingenVerified email at cam.ac.uk
Hongyuan Zha 査宏远School of Data Science, The Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Quanquan GuAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Dongxian WuTsinghua University, PhD candidateVerified email at mails.tsinghua.edu.cn
Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
Simone RomanoX-Scientist at Huawei, X-Applied Scientist at Microsoft, X-Researcher at NII Tokyo, PhD fromVerified email at simoneromano.com
Vinh NguyenDeep Learning @NVIDIAVerified email at nvidia.com
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE & IAPR; ex-VP of Samsung ResearchVerified email at pku.edu.cn

Yisen Wang

Assistant Professor, Peking University

Verified email at pku.edu.cn - Homepage

Machine Learning Deep Learning Adversarial Learning Graph Learning


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Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ... ICLR2018, 2018	262	2018
Dimensionality-Driven Learning with Noisy Labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML2018, 2018	139	2018
Iterative Learning with Open-set Noisy Labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR2018, 2018	115	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	67	2019
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML2019, 2019	57	2019
Residual convolutional CTC networks for automatic speech recognition Y Wang, X Deng, S Pu, Z Huang arXiv preprint arXiv:1702.07793, 2017	49	2017
Improving Adversarial Robustness Requires Revisiting Misclassified Examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR2020, 2020	39	2020
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	33	2019
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	26	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	24	2020
Decoupled networks W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song CVPR2018, 2771-2779, 2018	23	2018
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	22	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	20	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	17*	2017
Normalized Loss Functions for Deep Learning with Noisy Labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey ICML2020, 2020	16	2020
Hilbert-Based Generative Defense for Adversarial Examples Y Bai, Y Feng, Y Wang, T Dai, ST Xia, Y Jiang ICCV 2019, 2019	13	2019
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	12*	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	10	2017
Bernoulli random forests: Closing the gap between theoretical consistency and empirical soundness W Yisen, T Qingtao, ST Xia, J Wu, X Zhu IJCAI2016, 2016	10	2016
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang CVPR2020, 2020	9	2020

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