Jun Zhu
Jun Zhu
Professor of Computer Science, Tsinghua University
Zweryfikowany adres z mail.tsinghua.edu.cn - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
9652018
MedLDA: maximum margin supervised topic models
J Zhu, A Ahmed, EP Xing
the Journal of machine Learning research 13 (1), 2237-2278, 2012
5072012
MedLDA: maximum margin supervised topic models
J Zhu, A Ahmed, EP Xing
Journal of Machine Learning Research 13 (Aug), 2237-2278, 2012
5072012
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
4092018
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
3752009
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
3492016
Triple Generative Adversarial Nets
C Li, K Xu, J Zhu, B Zhang
NIPS (arXiv preprint arXiv:1703.02291), 2017
3422017
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
3012018
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
2392006
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
2222018
Stochastic Training of Graph Convolutional Networks
J Chen, J Zhu
ICML (arXiv preprint arXiv:1710.10568), 2018
217*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
2142017
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
1802005
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
1732019
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
1702018
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
1582018
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
ICML (arXiv preprint arXiv:1901.08846), 2019
1502019
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
1472014
Efficient decision-based black-box adversarial attacks on face recognition
Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1392019
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
1292010
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