Jie Wang

30 papers A* 2A 1B 9Misc 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances.
ICML
Jie Wang, March Boedihardjo, Yao Xie
2024 B conf
Distributionally Robust Degree Optimization for BATS Codes.
ISIT
Hoover H. F. Yin, Jie Wang, Sherman S. M. Chow
2024 J jnl
Distributionally Robust Degree Optimization for BATS Codes.
CoRR
Hoover H. F. Yin, Jie Wang, Sherman S. M. Chow
2024 B conf
Non-Convex Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets.
ISIT
Jie Wang, Rui Gao, Yao Xie
2024 J jnl
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets.
CoRR
Jie Wang, Rui Gao, Yao Xie
2024 J jnl
On Achievable Rates of Line Networks With Generalized Batched Network Coding.
IEEE J. Sel. Areas Commun.
Jie Wang, Shenghao Yang, Yanyan Dong, Yiheng Zhang
2024 J jnl
Reliable Off-Policy Evaluation for Reinforcement Learning.
Oper. Res.
Jie Wang, Rui Gao, Hongyuan Zha
2024 J jnl
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances.
CoRR
Jie Wang, March Boedihardjo, Yao Xie
2024 J jnl
Throughput and Latency Analysis for Line Networks With Outage Links.
IEEE J. Sel. Areas Inf. Theory
Yanyan Dong, Shenghao Yang, Jie Wang, Fan Cheng
2024 B conf
Throughput and Latency of Network Coding in Line Networks with Outages.
ISIT
Yanyan Dong, Shenghao Yang, Jie Wang, Fan Cheng
2023 A* conf
Contextual Stochastic Bilevel Optimization.
NeurIPS
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
2023 J jnl
Contextual Stochastic Bilevel Optimization.
CoRR
Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
2023 Misc conf
Reliable Adaptive Recoding for Batched Network Coding with Burst-Noise Channels.
ACSSC
Jie Wang, Talha Bozkus, Yao Xie, Urbashi Mitra
2022 B conf
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets.
ISIT
Jie Wang, Yao Xie
2022 J jnl
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets.
CoRR
Jie Wang, Yao Xie
2022 J jnl
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks.
CoRR
Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie
2022 — conf
Improving Sepsis Prediction Model Generalization With Optimal Transport.
ML4H@NeurIPS
Jie Wang, Ronald Moore, Yao Xie, Rishikesan Kamaleswaran
2022 A conf
Two-Sample Test with Kernel Projected Wasserstein Distance.
AISTATS
Jie Wang, Rui Gao, Yao Xie
2021 J jnl
Capacity Scalability of Line Networks with Batched Codes.
CoRR
Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang
2021 J jnl
Sinkhorn Distributionally Robust Optimization.
CoRR
Jie Wang, Rui Gao, Yao Xie
2021 B conf
Small-Sample Inferred Adaptive Recoding for Batched Network Coding.
ISIT
Jie Wang, Zhiyuan Jia, Hoover H. F. Yin, Shenghao Yang
2021 J jnl
Small-Sample Inferred Adaptive Recoding for Batched Network Coding.
CoRR
Jie Wang, Zhiyuan Jia, Hoover H. F. Yin, Shenghao Yang
2021 B conf
Two-sample Test using Projected Wasserstein Distance.
ISIT
Jie Wang, Rui Gao, Yao Xie
2020 J jnl
Reliable Off-policy Evaluation for Reinforcement Learning.
CoRR
Jie Wang, Rui Gao, Hongyuan Zha
2020 J jnl
Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality.
CoRR
Jie Wang, Rui Gao, Yao Xie
2020 B conf
Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks.
ISIT
Shenghao Yang, Jie Wang
2020 J jnl
Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks.
CoRR
Shenghao Yang, Jie Wang
2019 — conf
Efficient Underwater Sensor Network Data Collection Employing Unmanned Ships.
WUWNet
Jie Wang, Jun Ma, Jianyu Yang, Shenghao Yang
2019 B conf
On the Capacity Scalability of Line Networks with Buffer Size Constraints.
ISIT
Shenghao Yang, Jie Wang, Yanyan Dong, Yiheng Zhang
2018 B conf
On the Tightness of a Cut-Set Bound on Network Function Computation.
ISIT
Jie Wang, Shenghao Yang, Congduan Li