2024
A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables.
J. Mach. Learn. Res., 2024

2023
Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection.
IEEE Trans. Veh. Technol., November, 2023

An Anomaly Detection Method for Satellites Using Monte Carlo Dropout.
IEEE Trans. Aerosp. Electron. Syst., April, 2023

HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach.
IEEE Open J. Commun. Soc., 2023

Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Reinforcement Learning for Energy-Efficient Trajectory Design of UAVs.
IEEE Internet Things J., 2022

Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models.
Entropy, 2022

High-dimensional causal mediation analysis based on partial linear structural equation models.
Comput. Stat. Data Anal., 2022

UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms.
CoRR, 2022

2021
Fairness-Aware Link Optimization for Space-Terrestrial Integrated Networks: A Reinforcement Learning Framework.
IEEE Access, 2021

Re-envisioning Space-Air-Ground Integrated Networks: Reinforcement Learning for Link Optimization.
Proceedings of the ICC 2021, 2021