Yeying Zhu

According to our database, Yeying Zhu authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multivariate Variance-Based Genetic Ensemble Learning for Satellite Anomaly Detection.

Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu

IEEE Trans. Veh. Technol., November, 2023

An Anomaly Detection Method for Satellites Using Monte Carlo Dropout.

Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu

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

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

Atefeh Hajijamali Arani, Peng Hu, Yeying Zhu

IEEE Open J. Commun. Soc., 2023

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

Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu

Proceedings of the IEEE International Conference on Communications, 2023

2022

Reinforcement Learning for Energy-Efficient Trajectory Design of UAVs.

Atefeh Hajijamali Arani, Mohammad Mahdi Azari, Peng Hu, Yeying Zhu, Halim Yanikomeroglu, Safieddin Safavi-Naeini

IEEE Internet Things J., 2022

Simultaneous Maximum Likelihood Estimation for Piecewise Linear Instrumental Variable Models.

Shuo Shuo Liu, Yeying Zhu

Entropy, 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

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

Atefeh Hajijamali Arani, Peng Hu, Yeying Zhu

CoRR, 2022

2021

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

Atefeh Hajijamali Arani, Peng Hu, Yeying Zhu

IEEE Access, 2021

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

Atefeh Hajijamali Arani, Peng Hu, Yeying Zhu

Proceedings of the ICC 2021, 2021