| Rethinking the Value of Labels for Improving Class-Imbalanced Learning Y Yang, Z Xu Neural Information Processing Systems (NeurIPS), 2020 | 428 | 2020 |
| ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation Y Yang, G Zhang, D Katabi, Z Xu International Conference on Machine Learning (ICML), 2019 | 204 | 2019 |
| On a modified DeGroot-Friedkin model of opinion dynamics Z Xu, J Liu, T Başar 2015 American Control Conference (ACC), 1047-1052, 2015 | 69 | 2015 |
| Non-Asymptotic Analysis of Monte Carlo Tree Search D Shah, Q Xie, Z Xu Operations Research, 2020 | 46 | 2020 |
| Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation D Shah, D Song, Z Xu, Y Yang Neural Information Processing Systems (NeurIPS), 2020 | 42 | 2020 |
| Distributed evaluation and convergence of self-appraisals in social networks X Chen, J Liu, MA Belabbas, Z Xu, T Başar IEEE Transactions on Automatic Control 62 (1), 291-304, 2016 | 40 | 2016 |
| Harnessing Structures for Value-Based Planning and Reinforcement Learning Y Yang, G Zhang, Z Xu, D Katabi International Conference on Learning Representations (ICLR), 2019 | 34 | 2019 |
| Private sequential learning JN Tsitsiklis, K Xu, Z Xu Conference on Learning Theory (COLT); Forthcoming in Operations Research, 2018 | 26 | 2018 |
| PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators A Agarwal, A Alomar, V Alumootil, D Shah, D Shen, Z Xu, C Yang Neural Information Processing Systems (NeurIPS), 2021 | 17 | 2021 |
| Stable Reinforcement Learning with Unbounded State Space D Shah, Q Xie, Z Xu arXiv preprint arXiv:2006.04353, 2020 | 13 | 2020 |
| On reinforcement learning using Monte Carlo tree search with supervised learning: Non-asymptotic analysis D Shah, Q Xie, Z Xu arXiv preprint arXiv:1902.05213, 2019 | 11 | 2019 |
| On reinforcement learning for turn-based zero-sum Markov games D Shah, V Somani, Q Xie, Z Xu Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference …, 2020 | 10 | 2020 |
| Competition over epidemic networks: Nash and Stackelberg games Z Xu, A Khanafer, T Başar 2015 American Control Conference (ACC), 2063-2068, 2015 | 9 | 2015 |
| Robust GANs against dishonest adversaries Z Xu, C Li, S Jegelka arXiv preprint arXiv:1802.09700, 2018 | 5 | 2018 |
| Private sequential search and optimization Z Xu Massachusetts Institute of Technology, 2017 | 2 | 2017 |
| Data Efficient Reinforcement Learning Z Xu Massachusetts Institute of Technology, 2021 | | 2021 |
Yuzhe YangIncoming Assistant Professor, UCLA在 mit.edu 的电子邮件经过验证
