Yu Zhang

Assistant Professor of Computer Science
Department of Mathematics and Computer Science
yzhang@fisk.edu
469-910-4569

Education

  • Ph.D. In Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, USA, (2025)
  • M.S., in Information Technology and Management, University of Texas at Dallas, Dallas, USA, (2017)

Research Interests: Quantum Computing and Communication; Large Language Models; Internet of Things (IoT)

Brief Biosketch: Dr. Yu Zhang is an Assistant Professor of Computer Science in the Department of Mathematics and Computer Science at Fisk University. He received his Ph.D. in Electrical and Computer Engineering from the University of Texas at San Antonio in 2025, an M.S. in Information Technology and Management from the University of Texas at Dallas. His research focuses on developing intelligent learning and optimization methods for resource-constrained communication and computing systems. His work spans federated edge learning, efficient large language model inference and training, quantum networking and optimization, and satellite-aerial-terrestrial integrated networks. His research has been published in leading IEEE journals and conferences, including IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal. He also actively contributes to the research community through professional service and student research mentoring.

 

Selected Publications:

  1. Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. Y. Zhang, Z. Gao, Z. Zhang, T. Wang, Y. Gong, and Y. Guo. IEEE Transactions on Vehicular Technology (TVT), 2026
  2. Semi-Supervised Federated Learning for Assessing Building Damage from Satellite Imagery. Y. Zhang, Y. Gong, and Y. Guo. IEEE International Conference on Communications (ICC), Denver, USA, 2024
  3. Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks. Y. Zhang, Y. Gong, L. Fan, Y. Wang, Z. Han, and Y. Guo. IEEE Transactions on Mobile Computing (TMC), 2025
  4. Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks. Y. Zhang, Y. Gong, L. Fan, Y. Wang, Z. Han, and Y. Guo. IEEE Transactions on Mobile Computing (TMC), 2025
  5. Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks. Y. Zhang, Y. Gong, L. Fan, Y. Wang, Z. Han, and Y. Guo. IEEE Transactions on Network Science and Engineering (TNSE), 2024
  6. Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing. Y. Zhang, Y. Gong, and Y. Guo. IEEE Transactions on Vehicular Technology (TVT), 2024