| 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 | 1370 | 2018 |
| 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 | 565 | 2018 |
| MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012 | 513 | 2012 |
| MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing Journal of Machine Learning Research 13 (Aug), 2237-2278, 2012 | 513 | 2012 |
| 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 | 422 | 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 | 410 | 2016 |
| Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017 | 390 | 2017 |
| 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 | 376 | 2009 |
| 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 | 363 | 2018 |
| Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018 | 320* | 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 | 296 | 2019 |
| 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 | 282 | 2017 |
| Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019 | 253 | 2019 |
| 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 | 241 | 2006 |
| Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1311-1318, 2019 | 230 | 2019 |
| 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 | 217 | 2018 |
| 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 | 209 | 2019 |
| 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 | 201 | 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 | 183 | 2005 |
| 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 | 154 | 2014 |
Yinpeng DongTsinghua UniversityVerified email at mails.tsinghua.edu.cn
