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Ding, Shiyao
Graduate School of Informatics, Department of Informatics Assistant Professor
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Last Updated :2025/05/02
Basic Information
Faculty
Email Address
Email Address
ding.shiyao.3t
kyoto-u.ac.jp
Academic Degree
Academic Resume (Graduate Schools)
Research History
- From Oct. 2022, To PresentKyoto University, Graduate School of Informatics Department of Socisl Informatics, 助教
ID,URL
J-Global ID
Researcher number
60975449
researchmap URL
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Last Updated :2025/05/02
Research
Research Interests
Research Areas
- Informatics, Web and service informatics
- Informatics, Intelligent informatics, AI・エージェント・マルチエージェントシステム
Papers
- MineLlama: Llama with Retrieval-Augmented Generation as A Decision Maker in MinecraftShiyao Ding; Takayuki ItoJun. 2024, Peer-reviewed
- Automatic Evaluation of Discussion Quality Using LLM Data AugmentationKazuhito Mori, Shiyao Ding, Susmu Ohnuma, Yume Souma and Takayuki ItoJun. 2024, Peer-reviewed
- Towards Collaborative Brainstorming among Humans and AI Agents: An Implementation of the IBIS-based Brainstorming Support System with Multiple AI AgentsMoeka Nomura, Takayuki Ito, Shiyao DingJun. 2024, Peer-reviewed
- 大規模言語モデルはオープンワールドゲームにおける意思決定にいかに役立つか丁世堯; 伊藤孝行May 2024
- An Automated Multi-Phase Facilitation Agent Based on LLMYihan DONG; Shiyao DING; Takayuki ITOIEICE Transactions on Information and Systems, 01 Apr. 2024, Peer-reviewed
- Pattern-Based Meta Graph Neural Networks for Argument ClassificationsShiyao DING; Takayuki ITOIEICE Transactions on Information and Systems, 01 Apr. 2024, Peer-reviewed
- 依存関係を持つ複数のゴールを達成するための強化学習エージェントの実装北河英己, 丁世堯, 伊藤孝行Mar. 2024
- Discourse Quality Index (DQI)に基づく大規模言語モデルを用いた発言の自動分類森 一仁; 丁世堯; 大沼 進; 相馬 ゆめ; 伊藤 孝行Feb. 2024
- 日本語テキストの局所的な談話構造とその階層性に基づくグラフ化手法の提案新居恵一郎; 蟻坂 竜太; 丁世堯; 伊藤 孝行Feb. 2024
- 集団思考を防止するLLMエージェントの実装清水貴史; 丁世堯; 伊藤 孝行Feb. 2024
- Self-agreement: A Framework for Fine-Tuning Language Models to Find Agreement Among Diverse OpinionsShiyao Ding; Takayuki ItoPRICAI 2023: Trends in Artificial Intelligence, 10 Nov. 2023, Peer-reviewed
- A Deep Reinforcement Learning Based Facilitation Agent for Consensus Building Among Multi-Round DiscussionsShiyao Ding; Takayuki ItoPRICAI 2023: Trends in Artificial Intelligence, 10 Nov. 2023, Peer-reviewed
- MARL$$_{4}DRP$$: Benchmarking Cooperative Multi-agent Reinforcement Learning Algorithms for Drone Routing ProblemsShiyao Ding; Hideki Aoyama; Donghui LinPRICAI 2023: Trends in Artificial Intelligence, 10 Nov. 2023, Peer-reviewed
- An Implementation of An Automated Facilitation Agent Promoting Inclusive DiscussionYihan DONG; Shiyao DING; Takayuki ITOJun. 2023
- How Large Language Models Can Benefit Consensus BuildingShiyao Ding; Takayuki ItoMar. 2023
- Graph convolutional networks for node classification in issue-based information systemsShiyao Ding, Takayuki ItoMar. 2023
- The Significant Factors that Affect the Accuracy on Classifying English IBIS DatasetsYihan Dong; Shiyao Ding; Jawad Haqbeen; Takayuki ItoMar. 2023
- Graph Convolutional Networks for Link Prediction in Argument Structure ExtractionShiyao Ding; Takayuki ItoIIAI Letters on Informatics and Interdisciplinary Research, 2023, Peer-reviewed
- Combining Multiagent Reinforcement Learning and Search Method for Drone Delivery on a Non-grid GraphShiyao Ding; Hideki Aoyama; Donghui LinLecture Notes in Computer Science, 13 Oct. 2022, Peer-reviewed
- Multi-agent Reinforcement Learning for Task Allocation in Cooperative Edge Cloud ComputingShiyao DingService-Oriented Computing – ICSOC 2021 Workshops, 24 Aug. 2022, Peer-reviewed
- ドローン配送計画最適化問題のための最短経路情報を利用したマルチエージェント強化学習青山 秀紀; 丁 世堯; 林 冬惠Jun. 2022
- Non-Grid Multiagent Pathfinding via Combining Learning-based Method and Search-based MethodShiyao DING; Hideki AOYAMA; Donghui LINJun. 2022
- Deep Coalitional Q-Learning for Dynamic Coalition Formation in Edge ComputingShiyao DING; Donghui LINIEICE Transactions on Information and Systems, 01 May 2022, Peer-reviewed
- Multi-Agent Reinforcement Learning for Cooperative Task Offloading in Distributed Edge Cloud ComputingShiyao DING; Donghui LINIEICE Transactions on Information and Systems, 01 May 2022, Peer-reviewed
- Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge ComputingShiyao Ding; Donghui Lin; Xin Zhou2021 IEEE International Conference on Agents (ICA), Dec. 2021, Peer-reviewed
- Combining Multiagent Reinforcement Learning and Discrete Event Modeling for Pathfinding on a Non-Grid GraphShiyao Ding; Hideki Aoyama; Donghui LinIEICE Technical Report, Aug. 2021
- A Coalitional Markov Decision Process Model for Dynamic Coalition Formation among AgentsShiyao Ding; Donghui Lin2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Dec. 2020, Peer-reviewed
- A Constraint-based Approach to Edge Resource Allocation for Complex Event ProcessingBowen Wei; Donghui Lin; Shiyao Ding2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Dec. 2020, Peer-reviewed
- Dynamic Task Allocation for Cost-Efficient Edge Cloud ComputingShiyao Ding; Donghui Lin2020 IEEE International Conference on Services Computing (SCC), Nov. 2020, Peer-reviewed
Awards
External funds: Kakenhi
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Last Updated :2025/05/02
Education
Teaching subject(s)
- From 01 Apr. 2024, To 31 Mar. 2025Computer Science Laboratory and Exercise 19138, Spring, Faculty of Engineering, 2
- From 01 Apr. 2024, To 31 Mar. 2025Computer Science Laboratory and Exercise 29022, Fall, Faculty of Engineering, 2
- From 01 Apr. 2023, To 31 Mar. 2024Computer Science Laboratory and Exercise 19138, Spring, Faculty of Engineering, 2
- From 01 Apr. 2023, To 31 Mar. 2024Computer Science Laboratory and Exercise 29022, Fall, Faculty of Engineering, 2
