Donghong Liu

According to our database, Donghong Liu authored at least 29 papers between 2000 and 2026.

Collaborative distances:

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

2026

RT-BFE network: A lightweight deep learning model for real-time beef freshness evaluation and edge devices deployment.

Weidong Xu, Yingchao He, Liming Que, Caitian Tang, Jiaheng Li, Chunxu Zhang, Qirong Dong, Huadong Sheng, Pengpeng Liu, Wenjun Wang, Donghong Liu

Comput. Electron. Agric., 2026

2025

Try Before You Buy: Solving Multi-Model Complex Tasks by Model Competitions.

Yongqiang Zhao, Zhenyu Li, Zhi Jin, Feng Zhang, Lianwei Wu, Xinhai Xu, Donghong Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Generative subgoal oriented multi-agent reinforcement learning through potential field.

Shengze Li, Hao Jiang, Yuntao Liu, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Neural Networks, 2024

Agent Allocation-Action Learning with Dynamic Heterogeneous Graph in Multi-Task Games.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

IEICE Trans. Inf. Syst., 2024

Embedding multi-agent reinforcement learning into behavior trees with unexpected interruptions.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2024

A hierarchical multi-agent allocation-action learning framework for multi-subtask games.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2024

Bridging the Gap: Advancing Commonsense Question Answering with Integrated Multi-Modal Knowledge.

Yongqiang Zhao, Zhi Jin, Feng Zhang, Xinhai Xu, Donghong Liu

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model.

Yongqiang Zhao, Zhenyu Li, Zhi Jin, Feng Zhang, Haiyan Zhao, Chengfeng Dou, Zhengwei Tao, Xinhai Xu, Donghong Liu

CoRR, 2023

Enhancing Subtask Performance of Multi-modal Large Language Model.

Yongqiang Zhao, Zhenyu Li, Feng Zhang, Xinhai Xu, Donghong Liu

CoRR, 2023

Efficient state representation with artificial potential fields for reinforcement learning.

Hao Jiang, Shengze Li, Jieyuan Zhang, Yuqi Zhu, Xinhai Xu, Donghong Liu

Complex Intell. Syst., 2023

Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games.

Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games.

Xianglong Li, Yuan Li, Xinhai Xu, Donghong Liu, Jieyuan Zhang

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center.

Yongqiang Zhao, Zhi Jin, Haiyan Zhao, F. Zhang, Z. W. Tao, Chengfeng Dou, Xinhai Xu, Donghong Liu

Comput. Graph. Forum, October, 2022

Embedding Knowledge Graphs with Semantic-Guided Walk.

Hao Tang, Donghong Liu, Xinhai Xu, Feng Zhang

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Heterogeneous Skill Learning for Multi-agent Tasks.

Yuntao Liu, Yuan Li, Xinhai Xu, Yong Dou, Donghong Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation.

Hao Tang, Feng Zhang, Xinhai Xu, Jieyuan Zhang, Donghong Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Evolving Temporal Knowledge Graphs by Iterative Spatio-Temporal Walks.

Hao Tang, Donghong Liu, Xinhai Xu, Feng Zhang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

ROGC: Role-Oriented Graph Convolution Based Multi-Agent Reinforcement Learning.

Yuntao Liu, Yuan Li, Xinhai Xu, Donghong Liu, Yong Dou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Temporal Dynamic Weighted Graph Convolution for Multi-agent Reinforcement Learning.

Yuntao Liu, Yong Dou, Yuan Li, Xinhai Xu, Donghong Liu

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning.

Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

New Modification to Toulmin Model as an Analytical Framework for Argumentative Essays.

Donghong Liu

Proceedings of the Artificial Intelligence Logic and Applications, 2022

2021

Negative Transfer of Sichuan Dialect in English Vowel Acquisition.

Jingya Jin, Donghong Liu

Proceedings of the International Conference on Asian Language Processing, 2021

2013

Discourse Topic in Anaphora Resolution and Discourse Construction.

Donghong Liu

Proceedings of the 2013 International Conference on Asian Language Processing, 2013

2011

Discourse Structures of English Exposition.

Donghong Liu, Meizhen Liao

Proceedings of the International Conference on Asian Language Processing, 2011

2010

Checking Compliance to Coding Standards for x86 Executables.

Ziying Dai, Xiaoguang Mao, Dianlin Wang, Donghong Liu, Jie Zhang

Proceedings of the Symposia and Workshops on Ubiquitous, 2010

Retrospective Labels in Chinese Argumentative Discourses.

Donghong Liu

Proceedings of the International Conference on Asian Language Processing, 2010

2003

GIPO II: HTN Planning in a Tool-supported Knowledge Engineering Environment.

Thomas Leo McCluskey, Donghong Liu, Ron M. Simpson

Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

2000

OCL-Graph: Exploiting Object Structure in a Plan Graph Algorithm.

Ron M. Simpson, Thomas Leo McCluskey, Donghong Liu

Proceedings of the 14th Workshop "New Results in Planning, 2000

Knowledge Representation in Planning: A PDDL to <i>OCL_h</i> Translation.

Ron M. Simpson, Thomas Leo McCluskey, Donghong Liu, Diane E. Kitchin

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000