Jun Zhu
Jun Zhu
Professor of Computer Science, Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
Cited by
Cited by
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
MedLDA: maximum margin supervised topic models
J Zhu, A Ahmed, EP Xing
the Journal of machine Learning research 13 (1), 2237-2278, 2012
MedLDA: maximum margin supervised topic models
J Zhu, A Ahmed, EP Xing
Journal of Machine Learning Research 13 (Aug), 2237-2278, 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
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
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
Triple Generative Adversarial Nets
C Li, K Xu, J Zhu, B Zhang
NIPS (arXiv preprint arXiv:1703.02291), 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
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
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
Stochastic Training of Graph Convolutional Networks
J Chen, J Zhu
ICML (arXiv preprint arXiv:1710.10568), 2018
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
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
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
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
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
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
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
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
ICML (arXiv preprint arXiv:1901.08846), 2019
Sparse topical coding
J Zhu, EP Xing
UAI, 2012
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