Shilong Zhang (majoring in Applied Informatics at the Graduate School of Science and Engineering) received the Young Researcher’s Encouragement Award at the IEEE VTS Tokyo/Japan Chapter 2025 IEEE 101st Vehicular Technology Conference (IEEE VTC2025-Spring).

・Winner
Shilong Zhang (first-year PhD student in Yu Lab, majoring in Applied Informatics at the Graduate School of Science and Engineering)

・Conference
The 2025 IEEE 101st Vehicular Technology Conference: IEEE VTC2025-Spring

・Date
June 17, 2025 ～June 20, 2025

・Awarded date
June 23, 2025

・Conference Venue
Oslo, Norway

・Award name
Young Researcher’s Encouragement Award

・Name of award-winning paper
Dynamic IoT Resource Allocation Using Graph Reinforcement Learning with Hypergraph Convolutions

・Summary of research
Dynamic resource allocation is crucial for sustaining optimal network performance in Internet of Things environments. The frequent arrival and departure of devices result in dynamic topology changes, which pose significant challenges to effective resource allocation. To address these limitations, this study introduces a method that leverages hypergraph modeling to explicitly characterize multi-node resource collision relationships and proposes a graph reinforcement learning with hypergraph convolutions for dynamic resource allocation. Experimental evaluations indicate that the proposed method outperforms compared approaches in channel allocation efficiency and resource utilization.