CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共21条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:15/3  |  提交时间:2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
DAO to Hanoi via DeSci: AI Paradigm Shift from AlphaGo to ChatGPT 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 877-897
作者:  Miao, Qinghai (proxy) (contact);  Zheng, Wenbo;  吕, 宜生;  Huang, Min;  Ding, Wenwen;  Wang, Fei-Yue
Adobe PDF(4968Kb)  |  收藏  |  浏览/下载:217/62  |  提交时间:2023/03/22
ChatGPT, decentralized science (DeSci)  decentralized autonomous organization (DAO)  machine learning  paradigm shift  
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:796/144  |  提交时间:2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
ShadowPainter: Active Learning Enabled Robotic Painting through Visual Measurement and Reproduction of the Artistic Creation Process 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2022, 卷号: 105, 期号: 3, 页码: 17
作者:  Guo, Chao;  Bai, Tianxiang;  Wang, Xiao;  Zhang, Xiangyu;  Lu, Yue;  Dai, Xingyuan;  Wang, Fei-Yue
Adobe PDF(7718Kb)  |  收藏  |  浏览/下载:258/45  |  提交时间:2022/07/25
Painting reproduction  Robotic painting  Robotic system  Vision-based measurement  
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning 期刊论文
NEUROCOMPUTING, 2022, 卷号: 467, 页码: 300-309
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Jin, Junchen;  Huang, Yanhao;  Zhang, Jun Jason;  Wang, Fei-Yue
Adobe PDF(1244Kb)  |  收藏  |  浏览/下载:271/59  |  提交时间:2021/12/28
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Double DQN  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载:212/26  |  提交时间:2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
绘画艺术图像的计算美学:研究前沿与展望 期刊论文
自动化学报, 2020, 卷号: 46, 期号: 11, 页码: 2239-2259
作者:  鲁越;  郭超;  林懿伦;  卓凡;  王飞跃
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载:258/40  |  提交时间:2021/02/18
Fine art paintings  computational aesthetics  aesthetic model  attribute recognition  content understanding  aesthetic judgments  绘画艺术  计算美学  审美模型  属性识别  内容理解  美学评价  
Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: Sep. 2019, 页码: 136951- 136961
作者:  Shuai Wang;  Chenchen Huang;  Juanjuan Li;  Yong Yuan;  Fei-Yue Wang
Adobe PDF(2505Kb)  |  收藏  |  浏览/下载:347/104  |  提交时间:2019/09/25
Decentralized Knowledge Graph  Deep Recommender System  Crowdsourcing  Blockchain  Smart Contracts  
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:696/253  |  提交时间:2019/01/08
Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Driving Style Recognition for Intelligent Vehicle Control and Advanced Driver Assistance: A Survey 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 666-676
作者:  Martinez, Clara Marina;  Heucke, Mira;  Wang, Fei-Yue;  Gao, Bo;  Cao, Dongpu
收藏  |  浏览/下载:159/0  |  提交时间:2018/10/10
Driving Style  Driving Conditions  Driver Behavior  Driving Style Recognition  Machine Learning  Intelligent Vehicle Control  Energy Efficiency  Driving Safety