Highlights and Announcements from August 2023 to September 2025

August 1, 2025
The paper authored by Xun Shao (corresponding author), titled “Transformer-Based Generative Adversarial Network for Traffic Forecasting,” has been published in IEEE Transactions on Consumer Electronics.

June 1, 2025
The paper authored by Xun Shao (corresponding author), titled “Edge Intelligence Enabled Data Transmission in IoV: Integrating Link Optimization and Packet Routing,” has been published in ACM Transactions on Sensor Networks.

April 1, 2025
The research project led by Xun Shao, “Elderly Monitoring System Based on Next-Generation Federated Learning AI,” has been selected for funding under the Toyohashi City University Research Activity Grant Program.

January 9, 2025
The paper co-authored by Xun Shao, titled “Understanding World Models through Multi-Step Pruning Policy via Reinforcement Learning,” has been published in Information Sciences.

December 24, 2024
Mr. Ruto Shimizu (M2) presented “Optimization of Home-to-Home Energy Trading Using Multi-Agent Deep Reinforcement Learning in a Smart Community” at EAI MONAMI 2024.

December 10, 2024
The paper co-authored by Xun Shao, titled “Enhancing UAV Communications in Disasters: Integrating ESFM and MAPPO for Superior Performance,” has been published in Journal of Circuits, Systems and Computers.

December 4, 2024
Xun Shao served as the Workshop Chair at IEEE UIC 2024 and received the IEEE Distinguished Leadership Award.
He also presented multiple research works (MAPPO, CPIMAC, Federated Learning Framework, etc.) at the IEEE Smart World Congress 2024.
At the same conference, the paper “CPIMAC: MEC-Assisted Message Dissemination Based on Traffic Prediction at Intersections” received the IEEE Outstanding Paper Award.

July 23, 2024
The paper co-authored by Xun Shao, titled “Leveraging CAVs to Improve Traffic Efficiency: An MARL-Based Approach,” was accepted and presented at IEEE ICDCS 2024.

July 11, 2024
The paper co-authored by Xun Shao, titled “Optimizing Drone Energy Use for Emergency Communications in Disasters via Deep Reinforcement Learning,” has been published in Future Internet.

July 1, 2024
The research project led by Xun Shao, “Dynamic Optimization of Microgrid Networks by Integrating Deep Reinforcement Learning and Game Theory,” has been selected for funding by the Telecom Advanced Technology Research Support Center.
On the same day, another project led by Xun Shao, “Integrated Optimization of PV Output and DSM Management in Home Microgrids,” was funded by the Naito Science & Engineering Foundation.

June 17, 2024
Mr. Ryo Okamoto (M1) presented “Optimal Partitioning Method for CNN Models across Heterogeneous Edge Nodes” at the IEICE IA Technical Committee Meeting and received the Student Encouragement Award.

Mr. Ruto Shimizu (M1) presented “Development of a Simulation Environment for HEMS and Experiments Using MAPPO” and received the Student Encouragement Award.

Ms. Mirei Komeno (M1) presented “A Study on Optimization of Virtual Network Embedding Using Deep Reinforcement Learning” and received the Student Encouragement Award.

April 1, 2024
The research project led by Xun Shao, “Optimization of Intelligent Vehicle Routing via Multi-Agent Reinforcement Learning with Edge Computing,” has been selected for funding under the JSPS Grant-in-Aid for Scientific Research (C) and Early-Career Support Program.
On the same day, the paper co-authored by Xun Shao, titled “Intelligent Edge CDN with Smart Contract-Aided Local IoT Sharing,” was published in Springer High-Confidence Computing.

March 1, 2024
The research project led by Xun Shao, “Human-Centered Smart Device Development Based on Intelligent Policy Design,” has been selected for funding under the JSPS Invitation Fellowship (Short-Term).
On the same day, the paper co-authored by Xun Shao, titled “PNBOA: A Petri Net-Based Performance Optimization Approach for Blockchain Business Systems,” was published in IEICE Transactions on Fundamentals.

February 1, 2024
The paper co-authored by Xun Shao, titled “Efficient Online Resource Management in MEC: A Chance-Constrained Approach for Handling Uncertain Demands,” has been published in IEEE Transactions on Vehicular Technology.

January 1, 2024
The paper co-authored by Xun Shao, titled “SCcheck: A Novel Graph-Driven and Attention-Enabled Smart Contract Vulnerability Detection Framework for Web 3.0 Ecosystem,” has been published in IEEE Transactions on Network Science and Engineering.

October 29, 2023
The paper co-authored by Xun Shao, titled “Inverse Pyramid Pooling Attention for Imaging Identification of Ultrasonic Signal Imaging Recognition,” received the Best Paper Award at EAI MONAMI 2023.

October 1, 2023
The research project led by Xun Shao, “Edge-Assisted Intelligent Routing for the Internet of Vehicles Using Multi-Agent Reinforcement Learning,” has been selected for funding under the NII Collaborative Research Program.

August 1, 2023
The Smart Systems Laboratory was officially established.