Jun Zhu

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Coauteurs

Yinpeng DongTsinghua UniversityAdresse e-mail validée de mails.tsinghua.edu.cn
Tianyu PangPh.D. Candidate in Computer Science, Tsinghua UniversityAdresse e-mail validée de mails.tsinghua.edu.cn
Chongxuan LiTsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
Ning ChenAssistant Researcher, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Jianfei ChenTsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
Ji-Rong WenRenmin University of ChinaAdresse e-mail validée de ruc.edu.cn
Kun XuTsinghua universityAdresse e-mail validée de mails.tsinghua.edu.cn
Shixia LiuAssociate Professor of Tsinghua University, IEEE FellowAdresse e-mail validée de tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Yucen LuoTsinghua UniversityAdresse e-mail validée de google.com
Wei-Ying MaTsinghua UniversityAdresse e-mail validée de air.tsinghua.edu.cn
Jiaxin ShiPostdoctoral Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Chang LiuMicrosoft Research AsiaAdresse e-mail validée de microsoft.com
Minjie XuBloomberg L.P.Adresse e-mail validée de bloomberg.net
Amr AhmedSenior Staff Research Scientist, Google AIAdresse e-mail validée de google.com
Bei ChenMicrosoft Research AsiaAdresse e-mail validée de microsoft.com
Yining WangAssistant professor, Warrington College of Business, University of FloridaAdresse e-mail validée de warrington.ufl.edu

Jun Zhu

Professor of Computer Science, Tsinghua University

Adresse e-mail validée de mail.tsinghua.edu.cn - Page d'accueil

Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	803	2018
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012	496	2012
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing Journal of Machine Learning Research 13 (Aug), 2237-2278, 2012	496	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	374	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	359	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	324	2016
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	309	2017
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	242	2018
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
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	194	2017
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	185	2018
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	182*	2018
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
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	154	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	140	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	139	2018
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	132	2019
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	125	2010
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	118	2019
Sparse topical coding J Zhu, EP Xing UAI, 2012	118	2012

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