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Yun Hua
ORCID
Publication Activity (10 Years)
Years Active: 2010-2024
Publications (10 Years): 11
Top Topics
Vessel Segmentation
Agent Learns
Reinforcement Learning
State Action
Top Venues
CoRR
AAMAS
KDD
IEEE Trans. Medical Imaging
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Publications
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Pan Liu
,
Gao Huang
,
Jing Jing
,
Suyan Bian
,
Liuquan Cheng
,
Xin Yang Lu
,
Chongyou Rao
,
Yu Liu
,
Yun Hua
,
Yongjun Wang
,
Kunlun He
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images.
IEEE Trans. Medical Imaging
43 (4) (2024)
Junjie Sheng
,
Zixiao Huang
,
Chuyun Shen
,
Wenhao Li
,
Yun Hua
,
Bo Jin
,
Hongyuan Zha
,
Xiangfeng Wang
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.
CoRR
(2023)
Yun Hua
,
Shang Gao
,
Wenhao Li
,
Bo Jin
,
Xiangfeng Wang
,
Hongyuan Zha
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.
AAMAS
(2023)
Yun Hua
,
Shang Gao
,
Wenhao Li
,
Bo Jin
,
Xiangfeng Wang
,
Hongyuan Zha
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.
CoRR
(2023)
Junjie Sheng
,
Shengliang Cai
,
Haochuan Cui
,
Wenhao Li
,
Yun Hua
,
Bo Jin
,
Wenli Zhou
,
Yiqiu Hu
,
Lei Zhu
,
Qian Peng
,
Hongyuan Zha
,
Xiangfeng Wang
VMAgent: A Practical Virtual Machine Scheduling Platform.
IJCAI
(2022)
Wenhao Li
,
Xiangfeng Wang
,
Bo Jin
,
Junjie Sheng
,
Yun Hua
,
Hongyuan Zha
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.
CoRR
(2021)
Yun Hua
,
Xiangfeng Wang
,
Bo Jin
,
Wenhao Li
,
Junchi Yan
,
Xiaofeng He
,
Hongyuan Zha
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.
KDD
(2021)
Yiqiu Hu
,
Yun Hua
,
Wenyan Liu
,
Jun Zhu
Reward Shaping Based Federated Reinforcement Learning.
IEEE Access
9 (2021)
Junjie Sheng
,
Shengliang Cai
,
Haochuan Cui
,
Wenhao Li
,
Yun Hua
,
Bo Jin
,
Wenli Zhou
,
Yiqiu Hu
,
Lei Zhu
,
Qian Peng
,
Hongyuan Zha
,
Xiangfeng Wang
VMAgent: Scheduling Simulator for Reinforcement Learning.
CoRR
(2021)
Wenhao Li
,
Xiangfeng Wang
,
Bo Jin
,
Junjie Sheng
,
Yun Hua
,
Hongyuan Zha
Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.
AAMAS
(2021)
Yun Hua
,
Xiangfeng Wang
,
Bo Jin
,
Wenhao Li
,
Junchi Yan
,
Xiaofeng He
,
Hongyuan Zha
Hyper-Meta Reinforcement Learning with Sparse Reward.
CoRR
(2020)
Weidong Jiang
,
Yun Hua
On improvement of a Hilbert-type inequality.
Comput. Math. Appl.
60 (3) (2010)