Xingjun Ma 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	9098	8997
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James BaileyProfessor, School of Computing and Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Yisen WangAssistant Professor, Peking University在 pku.edu.cn 的电子邮件经过验证
Sarah M. ErfaniAssociate Professor and DECRA Fellow, Computing and Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Sudanthi WijewickremaSenior Research Fellow, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Yu-Gang JiangProfessor, Fudan University. IEEE & IAPR Fellow在 fudan.edu.cn 的电子邮件经过验证
Lingjuan LyuSony AI在 sony.com 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
Michael E. HouleNew Jersey Institute of Technology在 njit.edu 的电子邮件经过验证
Shu-Tao XiaSIGS, Tsinghua University在 sz.tsinghua.edu.cn 的电子邮件经过验证
Hanxun HuangThe University of Melbourne在 student.unimelb.edu.au 的电子邮件经过验证
Jinfeng Yi (易津锋)在 jd.com 的电子邮件经过验证
Yige LiPostdoctoral Fellow, Singapore Management University在 smu.edu.sg 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
Nodens KorenDoctorate D-INFK, ETH Zurich在 inf.ethz.ch 的电子邮件经过验证
Difan ZouThe University of Hong Kong在 cs.hku.hk 的电子邮件经过验证
Shihao ZhaoThe University of Hong Kong在 connect.hku.hk 的电子邮件经过验证
Jingjing ChenFudan University在 my.cityu.edu.hk 的电子邮件经过验证
Feng LuProfessor, Beihang University在 buaa.edu.cn 的电子邮件经过验证
Jiangshan Yu (于江山)Associate Professor, University of Sydney在 sydney.edu.au 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

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Xingjun Ma

School of Computer Science, Fudan University

在 unimelb.edu.au 的电子邮件经过验证 - 首页

Trustworthy AI Machine Learning Vision and Language


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
Symmetric cross entropy for robust learning with noisy labels Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey ICCV 2019, 2019	924	2019
Characterizing adversarial subspaces using local intrinsic dimensionality X Ma, B Li, Y Wang, SM Erfani, S Wijewickrema, G Schoenebeck, D Song, ... ICLR 2018, 2018	795	2018
Improving adversarial robustness requires revisiting misclassified examples Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu ICLR 2020, 2020	725	2020
Reflection backdoor: A natural backdoor attack on deep neural networks Y Liu, X Ma, J Bailey, F Lu ECCV 2020, 2020	512	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 110, 107332, 2021	446	2021
Dimensionality-driven learning with noisy labels X Ma, Y Wang, ME Houle, S Zhou, SM Erfani, ST Xia, S Wijewickrema, ... ICML 2018, 2018	442	2018
Normalized loss functions for deep learning with noisy labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey ICML 2020, 2020	424	2020
On the Convergence and Robustness of Adversarial Training Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu ICML 2019, 2019	395	2019
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Y Li, N Koren, L Lyu, X Lyu, B Li, X Ma ICLR 2021, 2021	375	2021
Iterative learning with open-set noisy labels Y Wang, W Liu, X Ma, J Bailey, H Zha, L Song, ST Xia CVPR 2018, 2018	341	2018
Skip connections matter: On the transferability of adversarial examples generated with resnets D Wu, Y Wang, ST Xia, J Bailey, X Ma ICLR 2020, 2020	335	2020
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection B Zi, M Chang, J Chen, X Ma, YG Jiang ACM MM 2020, 2020	303	2020
Privacy and robustness in federated learning: Attacks and defenses L Lyu, H Yu, X Ma, L Sun, J Zhao, Q Yang, PS Yu IEEE Transactions on Neural Networks and Learning Systems, 2022	299	2022
Clean-Label Backdoor Attacks on Video Recognition Models S Zhao, X Ma, X Zheng, J Bailey, J Chen, YG Jiang CVPR 2020, 2020	281	2020
Towards fair and privacy-preserving federated deep models L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin, H Yu, KS Ng IEEE Transactions on Parallel and Distributed Systems 31 (11), 2524-2541, 2020	257*	2020
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression J He, S Erfani, X Ma, J Bailey, Y Chi, XS Hua NeurIPS 2021, 2021	256	2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Y Li, X Lyu, N Koren, L Lyu, B Li, X Ma NeurIPS 2021, 2021	243	2021
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles R Duan, X Ma, Y Wang, J Bailey, AK Qin, Y Yang CVPR 2020, 2020	219	2020
Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, SM Erfani, J Bailey, Y Wang ICLR 2021, 2021	148	2021
Black-box adversarial attacks on video recognition models L Jiang, X Ma, S Chen, J Bailey, YG Jiang ACM MM 2019, 2019	138	2019

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