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Shiyao Ding
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2020 – today
- 2024
- [j6]Yihan Dong, Shiyao Ding, Takayuki Ito:
An Automated Multi-Phase Facilitation Agent Based on LLM. IEICE Trans. Inf. Syst. 107(4): 426-433 (2024) - [j5]Shiyao Ding, Takayuki Ito:
Pattern-Based Meta Graph Neural Networks for Argument Classifications. IEICE Trans. Inf. Syst. 107(4): 451-458 (2024) - [j4]Xiaochen Zhang
, Ziyi Pan, Ziyang Song, Yang Zhang, Wujing Li
, Shiyao Ding:
The Aerial Guide Dog: A Low-Cognitive-Load Indoor Electronic Travel Aid for Visually Impaired Individuals. Sensors 24(1): 297 (2024) - [c10]Moeka Nomura
, Takayuki Ito
, Shiyao Ding
:
Towards Collaborative Brain-storming among Humans and AI Agents: An Implementation of the IBIS-based Brainstorming Support System with Multiple AI Agents. CI 2024 - 2023
- [c9]Shiyao Ding, Takayuki Ito:
A Deep Reinforcement Learning Based Facilitation Agent for Consensus Building Among Multi-Round Discussions. PRICAI (3) 2023: 257-268 - [c8]Shiyao Ding, Takayuki Ito:
Self-agreement: A Framework for Fine-Tuning Language Models to Find Agreement Among Diverse Opinions. PRICAI (2) 2023: 298-309 - [c7]Shiyao Ding, Hideki Aoyama, Donghui Lin:
MARL4DRP: Benchmarking Cooperative Multi-agent Reinforcement Learning Algorithms for Drone Routing Problems. PRICAI (3) 2023: 459-465 - [i3]Shiyao Ding, Takayuki Ito:
Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions. CoRR abs/2305.11460 (2023) - 2022
- [j3]Shiyao Ding, Donghui Lin:
Deep Coalitional Q-Learning for Dynamic Coalition Formation in Edge Computing. IEICE Trans. Inf. Syst. 105-D(5): 864-872 (2022) - [j2]Shiyao Ding, Donghui Lin:
Multi-Agent Reinforcement Learning for Cooperative Task Offloading in Distributed Edge Cloud Computing. IEICE Trans. Inf. Syst. 105-D(5): 936-945 (2022) - [c6]Shiyao Ding, Hideki Aoyama, Donghui Lin:
Combining Multiagent Reinforcement Learning and Search Method for Drone Delivery on a Non-grid Graph. PAAMS 2022: 112-126 - [i2]Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
:
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR abs/2208.01682 (2022) - 2021
- [c5]Shiyao Ding, Donghui Lin, Xin Zhou:
Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing. ICA 2021: 25-30 - [c4]Shiyao Ding:
Multi-agent Reinforcement Learning for Task Allocation in Cooperative Edge Cloud Computing. ICSOC Workshops 2021: 283-297 - 2020
- [c3]Shiyao Ding, Donghui Lin:
Dynamic Task Allocation for Cost-Efficient Edge Cloud Computing. SCC 2020: 218-225 - [c2]Shiyao Ding, Donghui Lin:
A Coalitional Markov Decision Process Model for Dynamic Coalition Formation among Agents. WI/IAT 2020: 308-315 - [c1]Bowen Wei, Donghui Lin, Shiyao Ding:
A Constraint-based Approach to Edge Resource Allocation for Complex Event Processing. WI/IAT 2020: 526-531 - [i1]Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa:
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps. CoRR abs/2012.13061 (2020)
2010 – 2019
- 2019
- [j1]Shiyao Ding, Toshimitsu Ushio:
Learning in Two-Player Matrix Games by Policy Gradient Lagging Anchor. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(4): 708-711 (2019)
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last updated on 2024-08-10 00:24 CEST by the dblp team
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