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Hang Su
Hang Su
Associated Professor, Tsinghua University
Verified email at mail.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
26582018
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
7742019
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
6882022
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
4782023
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
4472022
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
3992019
Bag of tricks for adversarial training
T Pang, X Yang, Y Dong, H Su, J Zhu
arXiv preprint arXiv:2010.00467, 2020
291*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
2722020
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
2612019
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
2482024
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
1912020
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
1532021
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
1512024
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
1432021
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
1432020
Toward the third generation artificial intelligence
B Zhang, J Zhu, H Su
Science China Information Sciences 66 (2), 121101, 2023
1422023
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
1392017
Towards interpretable deep neural networks by leveraging adversarial examples
Y Dong, H Su, J Zhu, F Bao
arXiv preprint arXiv:1708.05493, 2017
1372017
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
1222019
Adversarial distributional training for robust deep learning
Y Dong, Z Deng, T Pang, J Zhu, H Su
Advances in Neural Information Processing Systems 33, 8270-8283, 2020
1052020
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