Yuexin Liu

According to our database, Yuexin Liu authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

Distributed generalized Nash equilibrium seeking approach via surrogate functions for noncooperative nonconvex games.

Yuexin Liu, Jie Zhong, Yan Wang, Wenyin Xu

Syst. Control. Lett., 2025

Robust set stabilization of Boolean control networks with edge removal perturbations.

Yuexin Liu, Anna Feng, Jiahao Wu, Jie Zhong, Bowen Li

Commun. Nonlinear Sci. Numer. Simul., 2025

Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm.

Haitao Li, Chenyu Wang, Shufu Yuan, Hui Zhu, Bo Li, Yuexin Liu, Li Sun

Algorithms, 2025

Semantic-Aware Resource Allocation in MEC-Assisted SAGIN: A Deep Reinforcement Learning-based Approach.

Yuexin Liu, Fangfang Yin, Qihong Liu, Danpu Liu, Libiao Jin, Shufeng Li

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

DRL-Driven Energy-Efficient Resource Allocation for Semantic Communication in MEC-Assisted Non-Terrestrial Networks.

Donglin He, Qihong Liu, Yuexin Liu, Fangfang Yin, Shufeng Li, Bowen Liu

Proceedings of the 2025 11th International Conference on Communication and Information Processing, 2025

2024

Adaptive micro-locomotion in a dynamically changing environment via context detection.

Zonghao Zou, Yuexin Liu, Alan Cheng Hou Tsang, Y.-N. Young, On Shun Pak

Commun. Nonlinear Sci. Numer. Simul., January, 2024

DeepGray: Malware Classification Using Grayscale Images with Deep Learning.

Haodi Jiang, Harshitha Polsani, Yuexin Liu

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

AI-Powered Strategies for Alleviating Graduate Student Burnout Through Emotional Intelligence and Wearable Technology.

Yuexin Liu, Amir Tofighi Zavareh, Ben Zoghi

Proceedings of the IEEE Frontiers in Education Conference, 2024

2023

Work-In-Progress: Investigate Eye-Tracking Metrics and Effectiveness of Visual Learning Aids in Online Learning Environments for Students with Learning Disabilities Using Machine Learning.

Yuexin Liu, Wei Lu, Amir Tofighi Zavareh, Ben Zoghi

Proceedings of the IEEE Frontiers in Education Conference, 2023

Improving Mental Health Support in Engineering Education using Machine Learning and Eye-Tracking.

Yuexin Liu, Wei Lu, Amir Tofighi Zavareh, Michelle Rigsby, Ben Zoghi

Proceedings of the IEEE Frontiers in Education Conference, 2023

2021

Using 3D Model and Simulation to Support the Force-on-Force Test of Physical Protection System.

Jiwei Zhang, Liu Jian, Yuexin Liu, Zhao Wang, Huaping Chen, Bi-Yao Wang, Xin Liu

IEEE Access, 2021

2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine G. Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

2019

An Optimal Power Allocation Algorithm for Cognitive Radio Networks Based on Maximum Rate and Interference Constraint.

Hongyan Chu, Liting Xu, Yuexin Liu

Ingénierie des Systèmes d Inf., 2019