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CASIA OpenIR
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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316
作者:  Tianyu Shen;  Jinlin Sun;  Shihan Kong;  Yutong Wang;  Juanjuan Li;  Xuan Li;  Fei-Yue Wang
Adobe PDF(682Kb)  |  收藏  |  浏览/下载：47/16  |  提交时间：2024/05/22
Artificial intelligence  Chatbots  Autonomous systems  Intelligent systems  Robots  Digital humans  Robot kinematics  Learning (artificial intelligence)  Biological system modeling  Computational modeling  Human-robot interaction  Complex systems  Deep learning  Reinforcement learning  Large language models  
Digital CEOs in Digital Enterprises: Automating, Augmenting, and Parallel in Metaverse/CPSS/TAOs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 820-823
作者:  Juanjuan Li;  Rui Qin;  Sangtian Guan;  Xiao Xue;  Peng Zhu;  Fei-Yue Wang
Adobe PDF(886Kb)  |  收藏  |  浏览/下载：55/12  |  提交时间：2024/03/18
Data models  Decision making  Human-machine systems  Ethics  Digital systems  Commercialization  Market research  Strategic planning  Metaverse  Cyber-physical systems  Social factors  
What Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 809-815
作者:  Fei-Yue Wang;  Qinghai Miao;  Lingxi Li;  Qinghua Ni;  Xuan Li;  Juanjuan Li;  Lili Fan;  Yonglin Tian;  Qing-Long Han
Adobe PDF(571Kb)  |  收藏  |  浏览/下载：61/15  |  提交时间：2024/03/18
The TAO of Blockchain Intelligence for Intelligent Web 3.0 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2183-2186
作者:  Juanjuan Li;  Fei-Yue Wang
Adobe PDF(146Kb)  |  收藏  |  浏览/下载：116/43  |  提交时间：2023/10/31
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)  |  收藏  |  浏览/下载：285/159  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Steps Toward Industry 5.0: Building “6S” Parallel Industries With Cyber-Physical-Social Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1692-1703
作者:  Xingxia Wang;  Jing Yang;  Yutong Wang;  Qinghai Miao;  Fei-Yue Wang;  Aijun Zhao;  Jian-Ling Deng;  Lingxi Li;  Xiaoxiang Na;  Ljubo Vlacic
Adobe PDF(15811Kb)  |  收藏  |  浏览/下载：142/28  |  提交时间：2023/07/20
ACP  artificial intelligence  CPS  CPSS  Industry 4.0  Industry 5.0  parallel industries  parallel intelligence  
New Control Paradigm for Industry 5.0: From Big Models to Foundation Control and Management 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1643-1646
作者:  Fei-Yue Wang
Adobe PDF(966Kb)  |  收藏  |  浏览/下载：63/20  |  提交时间：2023/07/20
Chat with ChatGPT on Industry 5.0: Learning and Decision-Making for Intelligent Industries 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 831-834
作者:  Fei-Yue Wang;  Jing Yang;  Xingxia Wang;  Juanjuan Li;  Qing-Long Han
Adobe PDF(1369Kb)  |  收藏  |  浏览/下载：214/81  |  提交时间：2023/03/22
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 603-631
作者:  Qinghai Miao;  Yisheng Lv;  Min Huang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载：930/148  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:  Zebing Wei;  Hongxia Zhao;  Zhishuai Li;  Xiaojie Bu;  Yuanyuan Chen;  Xiqiao Zhang;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载：292/72  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic prediction