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CASIA OpenIR
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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：24/6  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Heterogeneous Image Knowledge Driven Visual Perception 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 255-257
作者:  Lan Yan;  Wenbo Zheng;  Fei-Yue Wang
Adobe PDF(5837Kb)  |  收藏  |  浏览/下载：92/30  |  提交时间：2024/01/02
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：11/3  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Generating Emotion Descriptions for Fine Art Paintings via Multiple Painting Representations 期刊论文
IEEE Intelligent Systems, 2023, 卷号: 38, 期号: 3, 页码: 31-40
作者:  Lu, Yue;  Guo, Chao;  Dai, Xingyuan;  Wang, Fei-Yue
Adobe PDF(1045Kb)  |  收藏  |  浏览/下载：87/13  |  提交时间：2023/06/25
painting captioning  
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：211/62  |  提交时间：2023/03/22
ChatGPT, decentralized science (DeSci)  decentralized autonomous organization (DAO)  machine learning  paradigm shift  
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：229/60  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic 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：78/13  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：167/0  |  提交时间：2023/01/09
Contour feature learning  data augmentation  deep forest  fuzzy logic  
ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 20217-20229
作者:  Zhang, Wenwen;  Wang, Jiangong;  Wang, Yutong;  Wang, Fei-Yue
收藏  |  浏览/下载：73/0  |  提交时间：2023/03/20
Adaptation models  Representation learning  Feature extraction  Task analysis  Semantics  Generative adversarial networks  Object detection  Object detection  unsupervised domain adaptation  distribution alignment  domain-invariant representation  
GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation 会议论文
无, Tel Aviv, Israel,, 2022-10-23
作者:  Keqiang Li;  Mingyang Zhao;  Huaiyu Wu;  Dong-Ming Yan;  Zhen Shen;  Fei-Yue Wang;  Gang Xiong
Adobe PDF(5924Kb)  |  收藏  |  浏览/下载：136/32  |  提交时间：2023/06/12
Normal estimation  unstructured 3D point clouds  graph convolution  multi-scale