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CASIA OpenIR
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眼动跟踪研究进展与展望 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 5, 页码: 1173-1192
作者:  苟超;  卓莹;  王康;  王飞跃
Adobe PDF(16872Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/05/20
眼动跟踪  人眼检测  视线估计  注意力分析  
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：32/4  |  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：138/0  |  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)  
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：247/67  |  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：863/145  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
Intelligent contracts: Making smart contracts smart for blockchain intelligence 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 104, 页码: 15
作者:  Ouyang, Liwei;  Zhang, Wenwen;  Wang, Fei-Yue
Adobe PDF(1184Kb)  |  收藏  |  浏览/下载：216/42  |  提交时间：2023/02/22
Blockchain  Smart contracts  Blockchain intelligence  Decentralized artificial intelligence  
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：158/57  |  提交时间：2022/09/08
Cut-in behavior  interaction-aware  mixed traffic  risk assessment  trajectory prediction  
Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-Control for Intelligent Vehicles 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1658-1672
作者:  Hong Mo;  Yinghui Meng;  Fei-Yue Wang;  Dongrui Wu
Adobe PDF(12550Kb)  |  收藏  |  浏览/下载：207/38  |  提交时间：2022/08/19
Adaptive cruise following-control (ACFC)  feedforward + fuzzy proportion integration (PI) feedback (F+FPIF)  type-2 fuzzy control  variable time headway  
Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant 期刊论文
EEE Transactions on Computational Social Systems, 2020, 卷号: 7, 期号: 3, 页码: 686-695
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun Jason;  Zhou, Min;  Wang, Fei-Yue
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：152/50  |  提交时间：2022/06/15
Agent-based modeling  exit choice  pedestrian crowd evacuation  random forest (RF)  staged evacuation  
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：244/0  |  提交时间：2022/06/10
Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight