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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  
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：779/144  |  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：179/38  |  提交时间：2023/02/22
Blockchain  Smart contracts  Blockchain intelligence  Decentralized artificial intelligence  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：349/115  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：202/59  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
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：148/53  |  提交时间：2022/09/08
Cut-in behavior  interaction-aware  mixed traffic  risk assessment  trajectory prediction  
Parallel crop planning based on price forecast 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 期号: 1, 页码: 22
作者:  Fan, Menghan;  Kang, Mengzhen;  Wang, Xiujuan;  Hua, Jing;  He, Chaoxing;  Wang, Fei-Yue
Adobe PDF(2074Kb)  |  收藏  |  浏览/下载：257/52  |  提交时间：2021/12/28
agent-based modeling  crop planning  parallel agricultural management  price prediction  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载：204/26  |  提交时间：2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
Simultaneous Segmentation and Classification of Mass Region From Mammograms Using a Mixed-Supervision Guided Deep Model 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2020, 卷号: 27, 期号: 0, 页码: 196-200
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(1640Kb)  |  收藏  |  浏览/下载：298/49  |  提交时间：2020/03/30
Mixed-supervision  deep learning  segmentation and classification  mammogram  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：251/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning