| Not all low-pass filters are robust in graph convolutional networks H Chang, Y Rong, T Xu, Y Bian, S Zhou, X Wang, J Huang, W Zhu Advances in Neural Information Processing Systems 34, 25058-25071, 2021 | 37 | 2021 |
| On the convergence of stochastic multi-objective gradient manipulation and beyond S Zhou, W Zhang, J Jiang, W Zhong, J Gu, W Zhu Advances in Neural Information Processing Systems 35, 38103-38115, 2022 | 26 | 2022 |
| Active gradual domain adaptation: Dataset and approach S Zhou, L Wang, S Zhang, Z Wang, W Zhu IEEE Transactions on Multimedia 24, 1210-1220, 2022 | 16 | 2022 |
| Caching in dynamic environments: A near-optimal online learning approach S Zhou, Z Wang, C Hu, Y Mao, H Yan, S Zhang, C Wu, W Zhu IEEE Transactions on Multimedia 25, 792-804, 2021 | 11 | 2021 |
| Online continual adaptation with active self-training S Zhou, H Zhao, S Zhang, L Wang, H Chang, Z Wang, W Zhu International Conference on Artificial Intelligence and Statistics, 8852-8883, 2022 | 9 | 2022 |
| Improving generalization of meta-learning with inverted regularization at inner-level L Wang, S Zhou, S Zhang, X Chu, H Chang, W Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Algorithms and theory for supervised gradual domain adaptation J Dong, S Zhou, B Wang, H Zhao arXiv preprint arXiv:2204.11644, 2022 | 6 | 2022 |
| Marketing budget allocation with offline constrained deep reinforcement learning T Cai, J Jiang, W Zhang, S Zhou, X Song, L Yu, L Gu, X Zeng, J Gu, ... Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 3 | 2023 |
| Revisiting adversarial attacks on graph neural networks for graph classification B Xie, H Chang, X Wang, T Bian, S Zhou, D Wang, Z Zhang, W Zhu arXiv preprint arXiv:2208.06651, 2022 | 3 | 2022 |
| Revisiting adversarial attacks on graph neural networks for graph classification X Wang, H Chang, B Xie, T Bian, S Zhou, D Wang, Z Zhang, W Zhu IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
| Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems T Cai, S Bao, J Jiang, S Zhou, W Zhang, L Gu, J Gu, G Zhang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling Y Mao, B He, S Zhou, C Ma, Z Wang 2023 IEEE International Conference on Multimedia and Expo (ICME), 972-977, 2023 | 1 | 2023 |
| Dynamic Edge Caching via Online Meta-RL Y Mao, S Zhou, H Liu, Z Wang, W Zhu 2023 International Joint Conference on Neural Networks (IJCNN), 01-10, 2023 | 1 | 2023 |
| Robust Multi-Task Learning with Excess Risks Y He, S Zhou, G Zhang, H Yun, Y Xu, B Zeng, T Chilimbi, H Zhao arXiv preprint arXiv:2402.02009, 2024 | | 2024 |
| Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection Q Du, S Zhou, X Kuang, G Zhao, J Zhai The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
| Multi-Objective Online Learning J Jiang, W Zhang, S Zhou, L Gu, X Zeng, W Zhu The Eleventh International Conference on Learning Representations, 2022 | | 2022 |
| Meta Learning with Minimax Regularization L Wang, S Zhou, S Zhang, W Zhang, H Chang, W Zhu | | 2021 |
Wenwu ZhuProfessor, Computer Science, Tsinghua UniverisityVerified email at tsinghua.edu.cn
