Publications

See Google Scholar for a comprehensive list of publications.

Papers in Refereed Journals:

• Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning
  Z.Gao, Z. Zhang, Y. Zhang, Y. Gong, and Y. Guo
  IEEE Internet of Things Journal (IoT-J), 2025
  [Paper]

• 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
  [Paper]

• 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), 2024
  [Paper] [Arxiv]

• 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
  [Paper] [Arxiv]

• 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
  [Paper]

Papers in Refereed Conferences:

• Efficient Entanglement Routing for Satellite-Aerial-Terrestrial Quantum Networks
  Y. Zhang, Y. Gong, L. Fan, Y. Wang, Z. Han, and Y. Guo
  International Conference on Computer Communications and Networks (ICCCN), Tokyo, Japan, Aug. 4-7, 2025
  [Arxiv]

• 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, Jun. 9-13, 2024
  [Paper]

Preprints:

• Resource-Constrained and Heterogeneity-Aware Split Federated Fine-Tuning of Large Language Models over Mobile Edge Networks
  X. Guo, Y. Zhang, Z. Zhang, Y. Guo, and Y. Gong

• Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
  Y. Zhang, Z. Gao, Z. Zhang, T. Wang, Y. Gong, and Y. Guo

• FedSFT: Resource-Constrained Federated Black-Box Adaptation of Large Language Models
  Z. Zhang, Y. Zhang, Z. Gao, Y. Gong, and Y. Guo