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CASIA OpenIR
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Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning 会议论文
/, Orlando, FL, USA, 2023-11
作者:  Wang, Yuxiao;  Dai, Xingyuan;  Wang, Kara;  Ali, Hub;  Zhu, Fenghua
Adobe PDF(1410Kb)  |  收藏  |  浏览/下载：29/7  |  提交时间：2024/06/11
Imitation Learning  Trajectory Planning  Deep Reinforcement Learning  Autonomous Driving  
Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 页码: 1-15
作者:  Jing Yang;  Yutong Wang;  Xingxia Wang;  Xiaoxing Wang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：33/8  |  提交时间：2024/06/06
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：32/2  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS 期刊论文
IEEE Transactions on Industrial Informatics, 2024, 页码: 1-8
作者:  Xingxia Wang;  Yutong Wang;  Jing Yang;  Xiao Wang;  Zonglin Meng;  Zhaohai Liu;  Fei-Yue Wang
Adobe PDF(2770Kb)  |  收藏  |  浏览/下载：29/6  |  提交时间：2024/06/06
Oils  Fifth Industrial Revolution  Production  Fourth Industrial Revolution  Biology  Service robots  Transportation  Cyber-physical systems (CPS)  cyber-physical-social systems (CPSS)  Industry 4.0  Industry 5.0  parallel intelligence  parallel oil and gas  
Learning Transformer-based Cooperation for Networked Traffic Signal Control 会议论文
, Macau, China, 2022-10
作者:  Zhao, Chen;  Dai, Xingyuan;  Wang, Xiao;  Li, Lingxi;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：29/9  |  提交时间：2024/05/28
Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：28/6  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
计算实验方法的溯源、现状与展望 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 2, 页码: 246-271
作者:  薛霄;  于湘凝;  周德雨;  彭超;  王晓;  周长兵;  王飞跃
Adobe PDF(6491Kb)  |  收藏  |  浏览/下载：36/12  |  提交时间：2024/05/09
计算实验  人工社会  多主体建模  实验设计  路线图  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载：48/8  |  提交时间：2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
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)  |  收藏  |  浏览/下载：51/6  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：173/6  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)