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| Attention Markets of Blockchain-based Decentralized Autonomous Organizations 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1370-1380 作者: Juanjuan Li ; Rui Qin ; Sangtian Guan; Wenwen Ding; Fei Lin; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(1878Kb)  |   收藏  |  浏览/下载:42/19  |  提交时间:2024/05/22 Attention decentralized autonomous organizations Harberger tax Stackelberg game |
| 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![](/image/person.jpg)
Adobe PDF(11890Kb)  |   收藏  |  浏览/下载:54/7  |  提交时间:2024/04/10 Artificial society computational experiments model integration operation engine technology integration |
| Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239 作者: Yahui Liu ; Bin Tian ; Yisheng Lv ; Lingxi Li; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(8541Kb)  |   收藏  |  浏览/下载:278/167  |  提交时间:2024/01/02 Content-based Transformer deep learning feature aggregator local attention point cloud classification |
| 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![](/image/person.jpg)
Adobe PDF(3484Kb)  |   收藏  |  浏览/下载:135/63  |  提交时间:2023/08/10 High-speed railway reinforcement learning train timetable rescheduling Transformer |
| Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607 作者: Lili Fan; Shen Li; Ying Li ; Bai Li; Dongpu Cao; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(23502Kb)  |   收藏  |  浏览/下载:117/14  |  提交时间:2023/06/14 Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |
| 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![](/image/person.jpg)
Adobe PDF(11937Kb)  |   收藏  |  浏览/下载:934/150  |  提交时间:2023/03/02 Machine learning parallel learning parallel systems sim-to-real syn-to-real virtual-to-real |
| What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 575-579 作者: Fei-Yue Wang ; Qinghai Miao; Xuan Li; Xingxia Wang; Yilun Lin![](/image/person.jpg)
Adobe PDF(1298Kb)  |   收藏  |  浏览/下载:335/94  |  提交时间:2023/03/02 |
| 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![](/image/person.jpg)
Adobe PDF(7068Kb)  |   收藏  |  浏览/下载:294/73  |  提交时间:2023/01/03 Deep learning graph neural network (GNN) multi-stream spatial-temporal feature extraction temporal graph traffic prediction |
| The Metaverse of Mind: Perspectives on DeSci for DeEco and DeSoc 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2043-2046 作者: Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(101Kb)  |   收藏  |  浏览/下载:133/46  |  提交时间:2022/12/02 |
| 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![](/image/person.jpg)
Adobe PDF(4329Kb)  |   收藏  |  浏览/下载:182/63  |  提交时间:2022/09/08 Cut-in behavior interaction-aware mixed traffic risk assessment trajectory prediction |