Yeying Zhu

Mohammad Amin Maleki Sadr

IEEE Trans. Veh. Technol., November, 2023

An Anomaly Detection Method for Satellites Using Monte Carlo Dropout.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., April, 2023

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

[BibT_eX]

[DOI]

Mohammad Amin Maleki Sadr

IEEE Open J. Commun. Soc., 2023

Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

Reinforcement Learning for Energy-Efficient Trajectory Design of UAVs.

[BibT_eX]

[DOI]

Safieddin Safavi-Naeini

IEEE Internet Things J., 2022

Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models.

[BibT_eX]

[DOI]

Shuo Shuo Liu

Entropy, 2022

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

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Access, 2021

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

[BibT_eX]

[DOI]