Yeying Zhu

发表

On estimating regression-based causal effects using sufficient dimension reduction

D. Ghosh, Wei Luo, Yeying Zhu, 2017 .

Matching Using Sufficient Dimension Reduction for Causal Inference

Yeying Zhu, Wei Luo, Wei Luo, 2017, Journal of Business & Economic Statistics.

Propensity Score Modeling and Evaluation

Yeying Zhu, Lin Lin, 2016 .

Causal inference for multi-level treatments with machine-learned propensity scores

Yeying Zhu, Lin Lin, Liangheng Chen, 2018, Health Services and Outcomes Research Methodology.

A Comparison of Potential Outcome Approaches for Assessing Causal Mediation

D. Ghosh, Yeying Zhu, D. Mackinnon, 2016 .

Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models

Yeying Zhu, Shuo Shuo Liu, 2022, Entropy.

An Anomaly Detection Method for Satellites Using Monte Carlo Dropout

Mohammad Amin Maleki Sadr, Peng Hu, Yeying Zhu, 2022, IEEE Transactions on Aerospace and Electronic Systems.

UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms

Yeying Zhu, A. H. Arani, Peng Hu, 2022, ArXiv.

A Kernel-Based Metric for Balance Assessment

D. Ghosh, Yeying Zhu, J. Savage, 2018, Journal of causal inference.

Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction

Wei Luo, Yeying Zhu, Wenbo Wu, 2018, Journal of Causal Inference.

High-dimensional causal mediation analysis based on partial linear structural equation models

Yeying Zhu, Yuan Huang, Debashis Ghosh, 2022, Comput. Stat. Data Anal..

Reinforcement Learning for Energy-Efficient Trajectory Design of UAVs

Yeying Zhu, M. M. Azari, S. Safavi-Naeini, 2022, IEEE Internet of Things Journal.

Penalized regression procedures for variable selection in the potential outcomes framework

Debashis Ghosh, Yeying Zhu, Donna L Coffman, 2015, Statistics in medicine.

Variable selection for propensity score estimation via balancing covariates.

Yeying Zhu, Donna L Coffman, Yeying Zhu, 2015, Epidemiology.

A data-adaptive strategy for inverse weighted estimation of causal effects

Debashis Ghosh, Bhramar Mukherjee, Nandita Mitra, 2014, Health Services and Outcomes Research Methodology.

A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments

Debashis Ghosh, Yeying Zhu, Donna L Coffman, 2015, Journal of causal inference.

Estimating controlled direct effects of restrictive feeding practices in the ‘Early dieting in girls’ study

Debashis Ghosh, Jennifer S Savage, Yeying Zhu, 2016, Journal of the Royal Statistical Society. Series C, Applied statistics.

HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

Yeying Zhu, Peng Hu, A. H. Arani, 2023, IEEE Open Journal of the Communications Society.

Re-envisioning Space-Air-Ground Integrated Networks: Reinforcement Learning for Link Optimization

Atefeh Hajijamali Arani, Yeying Zhu, Peng Hu, 2021, ICC 2021 - IEEE International Conference on Communications.

Fairness-Aware Link Optimization for Space-Terrestrial Integrated Networks: A Reinforcement Learning Framework

Atefeh Hajijamali Arani, Yeying Zhu, Peng Hu, 2021, IEEE Access.

Variable selection for causal mediation analysis using LASSO-based methods

Yeying Zhu, D. Coffman, Zhaoxin Ye, 2021, Statistical methods in medical research.

Multiply robust estimation of causal quantile treatment effects

Yeying Zhu, C. Cotton, Yuying Xie, 2020, Statistics in medicine.

Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks

Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu, 2023, ICC 2023 - IEEE International Conference on Communications.

Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection

Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu, 2023, IEEE Transactions on Vehicular Technology.

A model averaging approach for estimating propensity scores by optimizing balance

Yuying Xie, Pan Wu, Yeying Zhu, 2019, Statistical methods in medical research.