Yun Hua

According to our database, Yun Hua authored at least 11 papers between 2010 and 2024.

Collaborative distances:

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

2024

An Energy Matching Vessel Segmentation Framework in 3-D Medical Images.

Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He

IEEE Trans. Medical Imaging, April, 2024

2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.

Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang

CoRR, 2023

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.

Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

VMAgent: A Practical Virtual Machine Scheduling Platform.

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

VMAgent: Scheduling Simulator for Reinforcement Learning.

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang

CoRR, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha

CoRR, 2021

Reward Shaping Based Federated Reinforcement Learning.

Yiqiu Hu, Yun Hua, Wenyan Liu, Jun Zhu

IEEE Access, 2021

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.

Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Hyper-Meta Reinforcement Learning with Sparse Reward.

Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha

CoRR, 2020

2010

On improvement of a Hilbert-type inequality.

Weidong Jiang, Yun Hua

Comput. Math. Appl., 2010