Yisen Wang

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Soavtorji

Yifei WangPostdoc, MIT CSAILPreverjeni e-poštni naslov na mit.edu
Xingjun MaSchool of Computer Science, Fudan UniversityPreverjeni e-poštni naslov na unimelb.edu.au
James BaileyProfessor, School of Computing and Information Systems, University of MelbournePreverjeni e-poštni naslov na unimelb.edu.au
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchPreverjeni e-poštni naslov na pku.edu.cn
Dongxian WuBytedancePreverjeni e-poštni naslov na bytedance.com
Quanquan GuAssociate Professor of Computer Science, UCLAPreverjeni e-poštni naslov na cs.ucla.edu
Bo LiUniversity of Illinois at Urbana–ChampaignPreverjeni e-poštni naslov na illinois.edu
Mingjie LiPostdoc Researcher, CISPAPreverjeni e-poštni naslov na pku.edu.cn
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligencePreverjeni e-poštni naslov na mbzuai.ac.ae
Weiyang LiuMax Planck Institute for Intelligent SystemsPreverjeni e-poštni naslov na tuebingen.mpg.de
Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenPreverjeni e-poštni naslov na cuhk.edu.cn
Dawn SongProfessor of Computer Science, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Xingquan (Hill) ZhuIEEE Fellow, Dept. of Electrical Eng. and Comp. Science, Florida Atlantic UniversityPreverjeni e-poštni naslov na fau.edu
Qionghai DaiTsinghua UniversityPreverjeni e-poštni naslov na tsinghua.edu.cn
Zhi-Hua ZhouNanjing UniversityPreverjeni e-poštni naslov na nju.edu.cn

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Yisen Wang

Assistant Professor, Peking University

Preverjeni e-poštni naslov na pku.edu.cn - Domača stran

Machine Learning Self-Supervised Learning Large Language Models Safety


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Symmetric cross entropy for robust learning with noisy labels Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey ICCV 2019, 2019	1150	2019
Improving Adversarial Robustness Requires Revisiting Misclassified Examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR2020, 2020	869	2020
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, ME Houle, ... ICLR2018, 2018	869	2018
Adversarial Weight Perturbation Helps Robust Generalization D Wu, S Xia, Y Wang NeurIPS 2020, 2020	812	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	550	2019
Normalized Loss Functions for Deep Learning with Noisy Labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey ICML2020, 2020	522	2020
Dimensionality-Driven Learning with Noisy Labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML2018, 2018	481	2018
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML2019, 2019	440	2019
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets D Wu, Y Wang, ST Xia, J Bailey, X Ma ICLR2020, 2020	403	2020
Iterative Learning with Open-set Noisy Labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR2018, 2018	383	2018
Adversarial Neuron Pruning Purifies Backdoored Deep Models D Wu, Y Wang NeurIPS 2021, 2021	322	2021
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang CVPR2020, 2020	266	2020
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	217	2023
Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, SM Erfani, J Bailey, Y Wang ICLR 2021, 2021	202	2021
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	171	2022
Improving adversarial robustness via channel-wise activation suppressing Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang ICLR 2021, 2021	142	2021
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	139	2022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks H Huang, Y Wang, S Erfani, Q Gu, J Bailey, X Ma NeurIPS 2021, 2021	117	2021
Leveraged Weighted Loss for Partial Label Learning H Wen, J Cui, H Hang, J Liu, Y Wang, Z Lin ICML 2021, 2021	117	2021
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	116*	2017

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