Shiyao Ding

According to our database, Shiyao Ding authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Aerial Guide Dog: A Low-Cognitive-Load Indoor Electronic Travel Aid for Visually Impaired Individuals.

Xiaochen Zhang, Ziyi Pan, Ziyang Song, Yang Zhang, Wujing Li, Shiyao Ding

Sensors, 2024

2023

A Deep Reinforcement Learning Based Facilitation Agent for Consensus Building Among Multi-Round Discussions.

Shiyao Ding, Takayuki Ito

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Self-agreement: A Framework for Fine-Tuning Language Models to Find Agreement Among Diverse Opinions.

Shiyao Ding, Takayuki Ito

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

MARL₄DRP: Benchmarking Cooperative Multi-agent Reinforcement Learning Algorithms for Drone Routing Problems.

Shiyao Ding, Hideki Aoyama, Donghui Lin

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

2022

Multi-Agent Reinforcement Learning for Cooperative Task Offloading in Distributed Edge Cloud Computing.

Shiyao Ding, Donghui Lin

IEICE Trans. Inf. Syst., 2022

Deep Coalitional Q-Learning for Dynamic Coalition Formation in Edge Computing.

Shiyao Ding, Donghui Lin

IEICE Trans. Inf. Syst., 2022

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL.

Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang

CoRR, 2022

Combining Multiagent Reinforcement Learning and Search Method for Drone Delivery on a Non-grid Graph.

Shiyao Ding, Hideki Aoyama, Donghui Lin

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

2021

Multi-agent Reinforcement Learning for Task Allocation in Cooperative Edge Cloud Computing.

Shiyao Ding

Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing.

Shiyao Ding, Donghui Lin, Xin Zhou

Proceedings of the IEEE International Conference on Agents, 2021

2020

Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps.

Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa

CoRR, 2020

A Constraint-based Approach to Edge Resource Allocation for Complex Event Processing.

Bowen Wei, Donghui Lin, Shiyao Ding

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

A Coalitional Markov Decision Process Model for Dynamic Coalition Formation among Agents.

Shiyao Ding, Donghui Lin

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Dynamic Task Allocation for Cost-Efficient Edge Cloud Computing.

Shiyao Ding, Donghui Lin

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019

Learning in Two-Player Matrix Games by Policy Gradient Lagging Anchor.

Shiyao Ding, Toshimitsu Ushio

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019