Jun Zhu

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Citations	9927	7781
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Yinpeng DongTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Tianyu PangPh.D. Candidate in Computer Science, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Ning ChenAssistant Researcher, Tsinghua UniversityVerified email at tsinghua.edu.cn
Chongxuan LiTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Jianfei ChenTsinghua UniversityVerified email at mail.tsinghua.edu.cn
Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
Kun XuTsinghua universityVerified email at mails.tsinghua.edu.cn
Shixia LiuAssociate Professor of Tsinghua University, IEEE FellowVerified email at tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityVerified email at tsinghua.edu.cn
Wei-Ying MaTsinghua UniversityVerified email at air.tsinghua.edu.cn
Yucen LuoTsinghua UniversityVerified email at google.com
Jiaxin ShiPostdoctoral Researcher, Microsoft ResearchVerified email at microsoft.com
Chang LiuMicrosoft Research AsiaVerified email at microsoft.com
Minjie XuBloomberg L.P.Verified email at bloomberg.net
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Bei ChenMicrosoft Research AsiaVerified email at microsoft.com
Yining WangAssistant professor, Warrington College of Business, University of FloridaVerified email at warrington.ufl.edu

Jun Zhu

Professor of Computer Science, Tsinghua University

Verified email at mail.tsinghua.edu.cn - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li CVPR (arXiv preprint arXiv:1710.06081, 2017), 2018	755	2018
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012	494	2012
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing Journal of Machine Learning Research 13 (Aug), 2237-2278, 2012	494	2012
Statsnowball: a statistical approach to extracting entity relationships J Zhu, Z Nie, X Liu, B Zhang, JR Wen Proceedings of the 18th international conference on World wide web, 101-110, 2009	375	2009
Defense against adversarial attacks using high-level representation guided denoiser F Liao, M Liang, Y Dong, T Pang, J Zhu, X Hu CVPR (arXiv preprint arXiv:1712.02976), 2018	343	2018
Towards Better Analysis of Deep Convolutional Neural Networks M Liu, J Shi, Z Li, C Li, J Zhu, S Liu IEEE Transactions on Visualization & Computer Graphics, 2016	318	2016
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	299	2017
Simultaneous record detection and attribute labeling in web data extraction J Zhu, Z Nie, JR Wen, B Zhang, WY Ma Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	238	2006
Adversarial Attack on Graph Structured Data H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song ICML (arXiv preprint arXiv:1806.02371), 2018	229	2018
Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics 1 (1), 48-56, 2017	184	2017
2d conditional random fields for web information extraction J Zhu, Z Nie, JR Wen, B Zhang, WY Ma Proceedings of the 22nd international conference on Machine learning, 1044-1051, 2005	179	2005
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 331, 2018	177	2018
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	168*	2018
Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018	148	2018
Bayesian inference with posterior regularization and applications to infinite latent svms J Zhu, N Chen, EP Xing The Journal of Machine Learning Research 15 (1), 1799-1847, 2014	138	2014
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning Y Luo, J Zhu, M Li, Y Ren, B Zhang CVPR (arXiv preprint arXiv:1711.00258), 2018	132	2018
Predictive subspace learning for multi-view data: a large margin approach N Chen, J Zhu, E P Xing Advances in Neural Information Processing Systems (NeurIPS), 2010	124	2010
Sparse topical coding J Zhu, EP Xing UAI, 2012	117	2012
Evading defenses to transferable adversarial examples by translation-invariant attacks Y Dong, T Pang, H Su, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	115	2019
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	107	2019

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