| Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning J Guo, Y Chen, Y Hao, Z Yin, Y Yu, S Li The Art of Robustness: Devil and Angel in Adversarial Machine Learning …, 2022 | 42 | 2022 |
| Towards benchmarking and assessing visual naturalness of physical world adversarial attacks S Li, S Zhang, G Chen, D Wang, P Feng, J Wang, A Liu, X Yi, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Attacking cooperative multi-agent reinforcement learning by adversarial minority influence S Li, J Guo, J Xiu, Y Zheng, P Feng, X Yu, A Liu, Y Yang, B An, W Wu, ... arXiv preprint arXiv:2302.03322, 2023 | 17 | 2023 |
| Progresses and challenges of spin orbit torque driven magnetization switching and application Z Wang, Z Li, Y Liu, S Li, L Chang, W Kang, Y Zhang, W Zhao 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 17 | 2018 |
| Facilitating temporal synchronous target selection through user behavior modeling T Zhang, X Yi, R Wang, J Gao, Y Wang, C Yu, S Li, Y Shi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 12 | 2019 |
| Byzantine robust cooperative multi-agent reinforcement learning as a bayesian game S Li, J Guo, J Xiu, R Xu, X Yu, J Wang, A Liu, Y Yang, X Liu ICLR 2024, 2023 | 10 | 2023 |
| Magnetization dynamics modulated by Dzyaloshinskii-Moriya interaction in the double-interface spin-transfer torque magnetic tunnel junction S Li, Z Wang, Y Wang, M Wang, W Zhao Nanoscale Research Letters 14, 1-9, 2019 | 10 | 2019 |
| Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning X Yu, R Shi, P Feng, Y Tian, S Li, S Liao, W Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17583 …, 2024 | 7 | 2024 |
| Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection S Li, H Xu, J Wang, R Xu, A Liu, F He, X Liu, D Tao IEEE Transactions on Image Processing, 2024 | 5 | 2024 |
| MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization S Li, R Xu, J Guo, P Feng, J Wang, A Liu, Y Yang, X Liu, W Lv arXiv preprint arXiv:2310.09833, 2023 | 2 | 2023 |
| Safe and efficient multi-agent collision avoidance with physics-informed reinforcement learning P Feng, R Shi, S Wang, J Liang, X Yu, S Li, W Wu IEEE Robotics and Automation Letters, 2024 | 1 | 2024 |
Xianglong Liu (刘祥龙）Beihang UniversityEmail verificata su buaa.edu.cn