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CASIA OpenIR
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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：19/4  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Parallel Light Fields: A Perspective and A Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 542-544
作者:  Fei-Yue Wang;  Yu Shen
Adobe PDF(4533Kb)  |  收藏  |  浏览/下载：58/10  |  提交时间：2024/01/23
ChatGPT Chats on Computational Experiments: From Interactive Intelligence to Imaginative Intelligence for Design of Artificial Societies and Optimization of Foundational Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1357-1360
作者:  Xiao Xue;  Xiangning Yu;  Fei-Yue Wang
Adobe PDF(1111Kb)  |  收藏  |  浏览/下载：75/20  |  提交时间：2023/05/29
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
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载：244/62  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic 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
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：92/46  |  提交时间：2023/08/10
High-speed railway  reinforcement learning  train timetable rescheduling  Transformer  
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
Adobe PDF(3244Kb)  |  收藏  |  浏览/下载：77/16  |  提交时间：2023/08/10
Conditional generative adversarial network  signalized urban networks  short-term link speed prediction  
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
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载：87/13  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
SST-GAN: Single Sample-based Realistic Traffic Image Generation for Parallel Vision 会议论文
, Macau, China, 2022-10-08~2022-10-12
作者:  Jiangong Wang;  Yutong Wang;  Yonglin Tian;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(1971Kb)  |  收藏  |  浏览/下载：98/23  |  提交时间：2023/05/17
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：262/45  |  提交时间：2022/07/25
Painting reproduction  Robotic painting  Robotic system  Vision-based measurement  
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai;  Hou, Jiachen;  Xin, Kejun;  Wang, Fei-Yue
Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：267/42  |  提交时间：2022/03/17
Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning