| Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake
, 2018 | 3068 | 2018 |
| Dino: Detr with improved denoising anchor boxes for end-to-end object detection H Zhang, F Li, S Liu, L Zhang, H Su, J Zhu, LM Ni, HY Shum arXiv preprint arXiv:2203.03605, 2022 | 1152 | 2022 |
| Grounding dino: Marrying dino with grounded pre-training for open-set object detection S Liu, Z Zeng, T Ren, F Li, H Zhang, J Yang, C Li, J Yang, H Su, J Zhu, ... arXiv preprint arXiv:2303.05499, 2023 | 1042 | 2023 |
| 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 | 919 | 2019 |
| Dab-detr: Dynamic anchor boxes are better queries for detr S Liu, F Li, H Zhang, X Yang, X Qi, H Su, J Zhu, L Zhang arXiv preprint arXiv:2201.12329, 2022 | 690 | 2022 |
| Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu Advances in Neural Information Processing Systems 36, 2024 | 509 | 2024 |
| 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 | 465 | 2019 |
| A comprehensive survey of continual learning: theory, method and application L Wang, X Zhang, H Su, J Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 396 | 2024 |
| Bag of tricks for adversarial training T Pang, X Yang, Y Dong, H Su, J Zhu arXiv preprint arXiv:2010.00467, 2020 | 328* | 2020 |
| Benchmarking adversarial robustness on image classification Y Dong, QA Fu, X Yang, T Pang, H Su, Z Xiao, J Zhu proceedings of the IEEE/CVF conference on computer vision and pattern
, 2020 | 313 | 2020 |
| Improving black-box adversarial attacks with a transfer-based prior S Cheng, Y Dong, T Pang, H Su, J Zhu Advances in neural information processing systems 32, 2019 | 288 | 2019 |
| User-level privacy-preserving federated learning: Analysis and performance optimization K Wei, J Li, M Ding, C Ma, H Su, B Zhang, HV Poor IEEE Transactions on Mobile Computing 21 (9), 3388-3401, 2021 | 216 | 2021 |
| Pruning from scratch Y Wang, X Zhang, L Xie, J Zhou, H Su, B Zhang, X Hu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12273
, 2020 | 213 | 2020 |
| Query2label: A simple transformer way to multi-label classification S Liu, L Zhang, X Yang, H Su, J Zhu arXiv preprint arXiv:2107.10834, 2021 | 208 | 2021 |
| Toward the third generation artificial intelligence B Zhang, J Zhu, H Su Science China Information Sciences 66 (2), 121101, 2023 | 207 | 2023 |
| All are worth words: A vit backbone for diffusion models F Bao, S Nie, K Xue, Y Cao, C Li, H Su, J Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2023 | 161 | 2023 |
| Boosting adversarial training with hypersphere embedding T Pang, X Yang, Y Dong, K Xu, J Zhu, H Su Advances in Neural Information Processing Systems 33, 7779-7792, 2020 | 161 | 2020 |
| Improving interpretability of deep neural networks with semantic information Y Dong, H Su, J Zhu, B Zhang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017., 2017 | 156 | 2017 |
| Sparse adversarial perturbations for videos X Wei, J Zhu, S Yuan, H Su Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8973-8980, 2019 | 144 | 2019 |
| Towards interpretable deep neural networks by leveraging adversarial examples Y Dong, H Su, J Zhu, F Bao arXiv preprint arXiv:1708.05493, 2017 | 143 | 2017 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
