中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共48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: 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)  |  收藏  |  浏览/下载：21/5  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
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：210/62  |  提交时间：2023/03/22
ChatGPT, decentralized science (DeSci)  decentralized autonomous organization (DAO)  machine learning  paradigm shift  
Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1822-1833
作者:  Wei Xu;  Chen Zhao;  Jie Cheng;  Yin Wang;  Yiqing Tang;  Tao Zhang;  Zhiming Yuan;  Yisheng Lv;  Fei-Yue Wang
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：86/44  |  提交时间：2023/08/10
High-speed railway  reinforcement learning  train timetable rescheduling  Transformer  
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：772/143  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
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：177/69  |  提交时间：2023/03/22
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：227/29  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 11, 页码: 1899-1908
作者:  Fei-Yue Wang
Adobe PDF(2950Kb)  |  收藏  |  浏览/下载：98/23  |  提交时间：2022/10/09
Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1752-1762
作者:  Xianglei Zhu;  Wen Hu;  Zejian Deng;  Jinwei Zhang;  Fengqing Hu;  Rui Zhou;  Keqiu Li;  Fei-Yue Wang
Adobe PDF(4329Kb)  |  收藏  |  浏览/下载：146/53  |  提交时间：2022/09/08
Cut-in behavior  interaction-aware  mixed traffic  risk assessment  trajectory prediction  
HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Dai, Yuxin;  Xin, Kejun;  Zheng, Xiaolong;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1159Kb)  |  收藏  |  浏览/下载：326/119  |  提交时间：2021/12/28
Knowledge fusion  Knowledge reasoning  Decision-making  Hierarchical graph attention  Reinforcement learning  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：323/62  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning