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Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：173/6  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
浏览  |  Adobe PDF(4508Kb)  |  收藏  |  浏览/下载：354/71  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：388/66  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：372/160  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
A Pareto optimal mechanism for demand-side platforms in real time bidding advertising markets 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 469, 页码: 119-140
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(1804Kb)  |  收藏  |  浏览/下载：525/163  |  提交时间：2018/09/20
Computational advertising  Real time bidding  Demand side platform  Pareto optimal  Mechanism design  Computational experiment