| Two-sample test using projected Wasserstein distance J Wang, R Gao, Y Xie 2021 IEEE International Symposium on Information Theory (ISIT), 3320-3325, 2021 | 13 | 2021 |
| Small-sample inferred adaptive recoding for batched network coding J Wang, Z Jia, HHF Yin, S Yang 2021 IEEE International Symposium on Information Theory (ISIT), 1427-1432, 2021 | 10 | 2021 |
| Reliable off-policy evaluation for reinforcement learning J Wang, R Gao, H Zha Operations Research, 2022 | 7 | 2022 |
| Sinkhorn distributionally robust optimization J Wang, R Gao, Y Xie arXiv preprint arXiv:2109.11926, 2021 | 7 | 2021 |
| Two-sample Test with Kernel Projected Wasserstein Distance J Wang, R Gao, Y Xie arXiv preprint arXiv: 2102.06449v3, 2021 | 4 | 2021 |
| Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks S Yang, J Wang 2020 IEEE International Symposium on Information Theory (ISIT), 1629-1634, 2020 | 3 | 2020 |
| On the capacity scalability of line networks with buffer size constraints S Yang, J Wang, Y Dong, Y Zhang 2019 IEEE International Symposium on Information Theory (ISIT), 1507-1511, 2019 | 3 | 2019 |
| A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets J Wang, Y Xie arXiv preprint arXiv:2202.04258, 2022 | 2 | 2022 |
| A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks J Wang, M Chen, T Zhao, W Liao, Y Xie arXiv preprint arXiv: 2205.02043, 2022 | 1 | 2022 |
| Capacity Scalability of Line Networks with Batched Codes S Yang, J Wang, Y Dong, Y Zhang arXiv preprint arXiv: 2105.07669, 2021 | 1 | 2021 |
| Sinkhorn Distributionally Robust Optimization J Wang, R Gao, Y Xie arXiv preprint arXiv: 2109.11926, 1-58, 2022 | | 2022 |
| Improving Sepsis Prediction Model Generalization With Optimal Transport J Wang, R Moore, Y Xie, R Kamaleswaran Proceedings of the 2nd Machine Learning for Health symposium 193, 474--488, 2022 | | 2022 |
| Improving Sepsis Prediction Model Generalization With Optimal Transport J Wang, R Moore, Y Xie, R Kamaleswaran Machine Learning for Health, 474-488, 2022 | | 2022 |
| Two-Sample Test with Kernel Projected Wasserstein Distance J Wang, R Gao, Y Xie International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022 | | 2022 |
| Two-sample test using projected wasserstein distance: Breaking the curse of dimensionality J Wang, R Gao, Y Xie arXiv preprint arXiv:2010.11970, 2020 | | 2020 |
| Finite-length Code and Application in Network Coding S Yang, Y Dong, J Wang https://walterbabyrudin.github.io/IT_newsletter.pdf 1, 2020 | | 2020 |
| Efficient Underwater Sensor Network Data Collection Employing Unmanned Ships J Wang, J Ma, J Yang, S Yang Proceedings of the International Conference on Underwater Networks & Systems …, 2019 | | 2019 |
| On the Tightness of a Cut-Set Bound on Network Function Computation J Wang, S Yang, C Li 2018 IEEE International Symposium on Information Theory (ISIT), 1824-1828, 2018 | | 2018 |
| Training By Vanilla SGD with Larger Learning Rates Y Yu, J Wang, W Li, Y Zhang | | |
Yao XieAssociate Professor, Nash Early Career Professor, Georgia Institute of Technology在 isye.gatech.edu 的电子邮件经过验证
