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Jie Wang (王捷)
Jie Wang (王捷)
Georgia Institute of Technology
在 link.cuhk.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Two-sample test using projected Wasserstein distance
J Wang, R Gao, Y Xie
2021 IEEE International Symposium on Information Theory (ISIT), 3320-3325, 2021
132021
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
102021
Reliable off-policy evaluation for reinforcement learning
J Wang, R Gao, H Zha
Operations Research, 2022
72022
Sinkhorn distributionally robust optimization
J Wang, R Gao, Y Xie
arXiv preprint arXiv:2109.11926, 2021
72021
Two-sample Test with Kernel Projected Wasserstein Distance
J Wang, R Gao, Y Xie
arXiv preprint arXiv: 2102.06449v3, 2021
42021
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
32020
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
32019
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
J Wang, Y Xie
arXiv preprint arXiv:2202.04258, 2022
22022
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
12022
Capacity Scalability of Line Networks with Batched Codes
S Yang, J Wang, Y Dong, Y Zhang
arXiv preprint arXiv: 2105.07669, 2021
12021
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
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