| 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 | 670 | 2018 |
| MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012 | 484 | 2012 |
| MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing Journal of Machine Learning Research 13 (Aug), 2237-2278, 2012 | 484 | 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 | 368 | 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 | 315 | 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 | 300 | 2016 |
| Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017 | 278 | 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 | 236 | 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 | 205 | 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 | 177 | 2005 |
| 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 | 170 | 2017 |
| Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018 | 157* | 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 | 151 | 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 | 135 | 2014 |
| 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 | 132 | 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 | 125 | 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 | 122 | 2010 |
| Sparse topical coding J Zhu, EP Xing UAI, 2012 | 117 | 2012 |
| User grouping behavior in online forums X Shi, J Zhu, R Cai, L Zhang Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 105 | 2009 |
| Adaptive multi-task lasso: with application to eQTL detection S Lee, J Zhu, E P Xing Carnegie Mellon University, 2010 | 102 | 2010 |
Yinpeng DongTsinghua UniversityVerified email at mails.tsinghua.edu.cn
