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CASIA OpenIR
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Parallel cognition: hybrid intelligence for human-machine interaction and management 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 卷号: 23, 期号: 12, 页码: 15
作者:  Ye, Peijun;  Wang, Xiao;  Zheng, Wenbo;  Wei, Qinglai;  Wang, Fei-Yue
收藏  |  浏览/下载：281/0  |  提交时间：2022/09/19
Cognitive learning  Artificial intelligence  Behavioral prescription  TP181  
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：297/38  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 52, 期号: 11, 页码: 11397-11406
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载：260/0  |  提交时间：2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：323/65  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：243/57  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
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：289/60  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis 期刊论文
IEEE Transactions on Cybernetics, 2022, 卷号: 52, 期号: 3, 页码: 1726-1735
作者:  Peijun Ye;  Bin Tian;  Yisheng Lv;  Qijie Li;  Fei-Yue Wang
Adobe PDF(1310Kb)  |  收藏  |  浏览/下载：214/48  |  提交时间：2020/10/15
Agent-based simulation, bilevel optimization, iterative proportional updating (IPU), population synthesis  
TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 51, 期号: 12, 页码: 5897-5906
作者:  Ye, Peijun;  Wang, Xiao;  Xiong, Gang;  Chen, Shichao;  Wang, Fei-Yue
Adobe PDF(1418Kb)  |  收藏  |  浏览/下载：324/115  |  提交时间：2020/03/18
Agent-based Model (Abm), Cognitive Architecture, Population Evolution.  
Social Computing: From Crowdsourcing to Crowd Intelligence by Cyber Movement Organizations 期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 4, 页码: 619-626
作者:  Wang, Fei-Yue;  Wang, Xiao;  Li, Juanjuan;  Ye, Peijun;  Li, Qiang
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：229/48  |  提交时间：2020/03/17
Social Computing  
Parallel Crime Scene Analysis Based on ACP Approach 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 1, 页码: 244-255
作者:  Wang, Shuai;  Wang, Xiao;  Ye, Peijun;  Yuan, Yong;  Liu, Shuo;  Wang, Feiyue
Adobe PDF(2590Kb)  |  收藏  |  浏览/下载：279/81  |  提交时间：2019/11/12
Artificial Societies  Computational Experiments  Parallel Execution  Crime Scene Analysis  Parallel Systems