Yu(Eugene) Zhang

He currently (Apr. 2024) is a 5th-year Ph.D. candidate in the Department of Electrical and Computer Engineering at The University of Texas at San Antonio, advised by Dr. Yuanxiong Guo and Dr. Yanmin Gong. He received an M.S. degree in information technology and management at University of Texas at Dallas, and B.S. degrees in navigation technology and logistics management at Wuhan University of Technology.

Google Scholar   CV (Updated in Sep.2024)

 

Research Interests

“Research is seeing what everybody else has seen and thinking what nobody else has thought.”
                                                                                                                        – Albert Szent-Gyorgyi

My current research focuses on Large Language Model (LLM), Quantum Computing (QC), Federated Learning (FL), optimization and their applications to the mobile devices and integrated satellite-aerial-terrestrial networks.

 

Recent News

news[2024-07] Our paper “Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks” was accepted by IEEE Transactions on Mobile Computing (TMC).

news[2024-07] Our paper “Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks” was accepted by IEEE Transactions on Network Science and Engineering (TNSE).

news[2024-06] Our paper “Semi-Supervised Federated Learning for Accessing Building Damage from Satellite Imagery” was accepted by IEEE International Conference on Communications (ICC).

news[2024-03] Our paper “Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing” was accepted by IEEE Transactions on Vehicular Technology (TVT).