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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：800/144  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
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：188/108  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2055-2062
作者:  Xiujuan Wang;  Mengzhen Kang;  Hequan Sun;  Philippe de Reffye;  Fei-Yue Wang
Adobe PDF(1091Kb)  |  收藏  |  浏览/下载：357/212  |  提交时间：2022/12/02
Parallel Agriculture Management and Control  AgriVerse  Agriculture CPSS  ACP  DAO-Based Platform  Precision Agriculture  
A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：344/85  |  提交时间：2019/09/25
3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
A Survey of Cognitive Architectures in the Past 20 Years 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3280-3290
作者:  Ye, Peijun;  Wang, Tao;  Wang, Fei-Yue
浏览  |  Adobe PDF(734Kb)  |  收藏  |  浏览/下载：699/254  |  提交时间：2019/01/08
Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Capturing Car-Following Behaviors by Deep Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
作者:  Wang, Xiao;  Jiang, Rui;  Li, Li;  Lin, Yilun;  Zheng, Xinhu;  Wang, Fei-Yue
浏览  |  Adobe PDF(3543Kb)  |  收藏  |  浏览/下载：428/166  |  提交时间：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks  
Generative Adversarial Networks: Introduction and Outlook 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 4, 页码: 588-598
作者:  Kunfeng Wang;  Chao Gou;  Yanjie Duan;  Yilun Lin;  Xinhu Zheng;  Fei-Yue Wang
浏览  |  Adobe PDF(16945Kb)  |  收藏  |  浏览/下载：355/40  |  提交时间：2018/01/08
Acp Approach  Adversarial Learning  Generative Adversarial Networks (Gans)  Generative Models  Parallel Intelligence  Zero-sum Game  
Coupled Multivehicle Detection and Classification With Prior Objectness Measure 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 卷号: 66, 期号: 3, 页码: 1975-1984
作者:  Yao, Yanjie;  Tian, Bin;  Wang, Fei-Yue
Adobe PDF(1309Kb)  |  收藏  |  浏览/下载：416/108  |  提交时间：2017/05/05
Convolutional Neural Network (Cnn)  Multivehicle Detection  Object Proposals  Vehicle Classification  
Coupled Multivehicle Detection and Classification With Prior Objectness Measure. IEEE Trans. Vehicular Technology 66(3): 1975-1984, 2017. 期刊论文
IEEE Trans. Vehicular Technology, 2017, 卷号: 66, 期号: 3, 页码: 1975-1984
作者:  Yanjie Yao;  Bin Tian;  Fei-Yue Wang
浏览  |  Adobe PDF(1309Kb)  |  收藏  |  浏览/下载：221/32  |  提交时间：2018/01/04
Convolutional Neural Network (Cnn)  Multivehicle Detection  Object Proposals  Vehicle Classification  
Identification and analysis of driver postures for in-vehicle driving activities and secondary tasks recognition 期刊论文
IEEE Transactions on Computational Social Systems, 2017, 卷号: PP, 期号: 99, 页码: 1-14
作者:  Yang Xing;  Chen Lv;  Zhaozhong Zhang;  Huaji Wang;  Xiaoxiang Na;  Dongpu Cao;  Efstathios Velenis;  Fei-Yue Wang
浏览  |  Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：300/94  |  提交时间：2018/01/08
Driver Behavior  Driver Distraction  Feedforward Neural Network (Ffnn)  Kinect  Random Forest (Rf).