Re-envisioning Space-Air-Ground Integrated Networks: Reinforcement Learning for Link Optimization. - Atefeh Hajijamali Arani; Peng Hu; Yeying Zhu (ICC, 2021)

Fairness-Aware Link Optimization for Space-Terrestrial Integrated Networks: A Reinforcement Learning Framework. - Atefeh Hajijamali Arani; Peng Hu; Yeying Zhu (IEEE Access, 2021)

UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms. - Atefeh Hajijamali Arani; Peng Hu; Yeying Zhu (CoRR, 2022)

High-dimensional causal mediation analysis based on partial linear structural equation models. - Xizhen Cai; Yeying Zhu; Yuan Huang; Debashis Ghosh (Comput. Stat. Data Anal., 2022)

Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models. - Shuo Shuo Liu; Yeying Zhu (Entropy, 2022)

Reinforcement Learning for Energy-Efficient Trajectory Design of UAVs. - Atefeh Hajijamali Arani; Mohammad Mahdi Azari 001; Peng Hu; Yeying Zhu; Halim Yanikomeroglu; Safieddin Safavi-Naeini (IEEE Internet Things J., 2022)

Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks. - Mohammad Amin Maleki Sadr; Yeying Zhu; Peng Hu (ICC, 2023)

HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach. - Atefeh Hajijamali Arani; Peng Hu; Yeying Zhu (IEEE Open J. Commun. Soc., 2023)

An Anomaly Detection Method for Satellites Using Monte Carlo Dropout. - Mohammad Amin Maleki Sadr; Yeying Zhu; Peng Hu (IEEE Trans. Aerosp. Electron. Syst., 2023)

Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection. - Mohammad Amin Maleki Sadr; Yeying Zhu; Peng Hu (IEEE Trans. Veh. Technol., 2023)

A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables. - Wei Luo; Yeying Zhu; Xuekui Zhang; Lin Lin (J. Mach. Learn. Res., 2024)