Follow
Xian Wu
Xian Wu
Northwestern University
No verified email
Title
Cited by
Cited by
Year
End-to-end photo-sketch generation via fully convolutional representation learning
L Zhang, L Lin, X Wu, S Ding, L Zhang
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
1602015
Backdoorl: Backdoor attack against competitive reinforcement learning
L Wang, Z Javed, X Wu, W Guo, X Xing, D Song
arXiv preprint arXiv:2105.00579, 2021
702021
Interpretable video captioning via trajectory structured localization
X Wu, G Li, Q Cao, Q Ji, L Lin
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018
672018
Adversarial policy training against deep reinforcement learning
X Wu, W Guo, H Wei, X Xing
30th USENIX Security Symposium (USENIX Security 21), 1883-1900, 2021
512021
Content-adaptive sketch portrait generation by decompositional representation learning
D Zhang, L Lin, T Chen, X Wu, W Tan, E Izquierdo
IEEE transactions on image processing 26 (1), 328-339, 2016
512016
Edge: Explaining deep reinforcement learning policies
W Guo, X Wu, U Khan, X Xing
Advances in Neural Information Processing Systems 34, 12222-12236, 2021
502021
Adversarial policy learning in two-player competitive games
W Guo, X Wu, S Huang, X Xing
International conference on machine learning, 3910-3919, 2021
352021
Learning to segment object candidates via recursive neural networks
T Chen, L Lin, X Wu, N Xiao, X Luo
IEEE Transactions on Image Processing 27 (12), 5827-5839, 2018
142018
From grim reality to practical solution: Malware classification in real-world noise
X Wu, W Guo, J Yan, B Coskun, X Xing
2023 IEEE Symposium on Security and Privacy (SP), 2602-2619, 2023
32023
Statemask: Explaining deep reinforcement learning through state mask
Z Cheng, X Wu, J Yu, W Sun, W Guo, X Xing
Advances in Neural Information Processing Systems 36, 2024
22024
{PATROL}: Provable Defense against Adversarial Policy in Two-player Games
W Guo, X Wu, L Wang, X Xing, D Song
32nd USENIX Security Symposium (USENIX Security 23), 3943-3960, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–11