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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:23/10  |  提交时间:2024/05/22 Attention decentralized autonomous organizations Harberger tax Stackelberg game |
| 视觉Transformer研究的关键问题:现状及展望 期刊论文 自动化学报, 2022, 卷号: 48, 期号: 4, 页码: 957-979 作者: 田永林 ; 王雨桐 ; 王建功 ; 王晓 ; 王飞跃![](/image/person.jpg)
Adobe PDF(6913Kb)  |   收藏  |  浏览/下载:21/5  |  提交时间:2024/05/20 视觉Transformer 图像分类 目标检测 图像分割 计算机视觉 |
| 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![](/image/person.jpg)
Adobe PDF(7239Kb)  |   收藏  |  浏览/下载:49/10  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| What Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 809-815 作者: Fei-Yue Wang ; Qinghai Miao; Lingxi Li; Qinghua Ni; Xuan Li; Juanjuan Li ; Lili Fan; Yonglin Tian ; Qing-Long Han
Adobe PDF(571Kb)  |   收藏  |  浏览/下载:40/8  |  提交时间:2024/03/18 |
| 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:251/161  |  提交时间:2024/01/02 Content-based Transformer deep learning feature aggregator local attention point cloud classification |
| Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2222-2232 作者: Juanjuan Li ; Junqing Li; Xiao Wang ; Rui Qin ; Yong Yuan; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(2004Kb)  |   收藏  |  浏览/下载:184/77  |  提交时间:2023/10/31 Auction data trading markets multi-blockchain pricing mechanisms |
| 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![](/image/person.jpg)
Adobe PDF(9632Kb)  |   收藏  |  浏览/下载:234/129  |  提交时间:2023/09/22 Carbon-water balance decision-support digital intelligence (DI) foundation models planning |
| AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881 作者: Yuanqi Qin; Wen Hua; Junchen Jin; Jun Ge; Xingyuan Dai ; Lingxi Li; Xiao Wang ; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(3244Kb)  |   收藏  |  浏览/下载:100/17  |  提交时间:2023/08/10 Conditional generative adversarial network signalized urban networks short-term link speed prediction |
| 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:120/58  |  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:104/13  |  提交时间:2023/06/14 Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |