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Two-particle Debris Flow Simulation Based on SPH
期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:
Zhang JX(张佳岫)
;
Yang M(杨猛)
;
Xiaomin Li
;
Qunou Jiang
;
Heng Zhang
;
Meng WL(孟维亮)
Adobe PDF(4962Kb)
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浏览/下载:47/20
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提交时间:2024/06/04
debris flow
GPU acceleration
natural disaster simulation
SPH
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:
Xiao Xue
;
Xiangning Yu
;
Deyu Zhou
;
Xiao Wang
;
Chongke Bi
;
Shufang Wang
;
Fei-Yue Wang
Adobe PDF(11890Kb)
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浏览/下载:78/12
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提交时间:2024/04/10
Artificial society
computational experiments
model integration
operation engine
technology integration
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:
Xiao Xue
;
Deyu Zhou
;
Xiangning Yu
;
Gang Wang
;
Juanjuan Li
;
Xia Xie
;
Lizhen Cui
;
Fei-Yue Wang
Adobe PDF(7239Kb)
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浏览/下载:78/19
  |  
提交时间:2024/03/18
Agent-based modeling
computational experiments
cyber-physical-social systems (CPSS)
generative deduction
generative experiments
meta model
Hierarchical Curriculum Learning for No-Reference Image Quality Assessment
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 20
作者:
Wang, Juan
;
Chen, Zewen
;
Yuan, Chunfeng
;
Li, Bing
;
Ma, Wentao
;
Hu, Weiming
收藏
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浏览/下载:142/0
  |  
提交时间:2023/11/17
No-reference image quality assessment
Hierarchical curriculum learning
Prior knowledge
Cross-dataset quality assessment correlation
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2469Kb)
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浏览/下载:66/5
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提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:
Yanfen Wang
;
Mengzhen Kang
;
Yali Liu
;
Juanjuan Li
;
Kai Xue
;
Xiujuan Wang
;
Jianqing Du
;
Yonglin Tian
;
Qinghua Ni
;
Fei-Yue Wang
Adobe PDF(9632Kb)
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浏览/下载:317/179
  |  
提交时间:2023/09/22
Carbon-water balance
decision-support
digital intelligence (DI)
foundation models
planning
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks
期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 59-68
作者:
Shi, Jiahui
;
Li, Linjing
;
Zeng, Daniel
Adobe PDF(1054Kb)
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浏览/下载:283/36
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提交时间:2022/11/14
Adversarial example
Adversarial training
Model robustness
Contrastive learning
Natural language processing
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:
Ouyang, Liwei
;
Yuan, Yong
;
Wang, Fei-Yue
Adobe PDF(2684Kb)
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浏览/下载:547/55
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提交时间:2022/09/19
Collaboration
Artificial intelligence
Data models
Computational modeling
Smart contracts
Blockchain
Distributed databases
Artificial intelligence (AI) collaboration
blockchain
ensemble learning
federated learning (FL)
smart contracts
SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities
期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 186-196
作者:
Li, Mingda
;
Sun, Zhengya
;
Zhang, Wensheng
Adobe PDF(931Kb)
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浏览/下载:366/72
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提交时间:2022/06/10
Knowledge graph embedding
Out-of-knowledge-graph entities
Knowledge graph completion
Similarity search
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Hu, Guangzheng
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Zhao, Mengchen
;
Hao, Jianye
Adobe PDF(4187Kb)
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浏览/下载:275/13
  |  
提交时间:2022/01/27
Bandwidth
Protocols
Reinforcement learning
Task analysis
Optimization
Communication networks
Multi-agent systems
Event trigger
limited bandwidth
multi-agent communication
multi-agent reinforcement learning (MARL)