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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：297/58  |  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  
Joint image-to-image translation with denoising using enhanced generative adversarial networks 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 卷号: 91, 页码: 9
作者:  Yan, Lan;  Zheng, Wenbo;  Wang, Fei-Yue;  Gou, Chao
Adobe PDF(4437Kb)  |  收藏  |  浏览/下载：290/43  |  提交时间：2021/03/01
Image-to-image translation  Generative adversarial networks  Image enhancement  Image denoising  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：444/227  |  提交时间：2020/10/15
Intelligent transportation systems  
Analyzing Bitcoin transaction fees using a queueing game model 期刊论文
ELECTRONIC COMMERCE RESEARCH, 2020, 期号: 3, 页码: 21
作者:  Li, Juanjuan;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(1741Kb)  |  收藏  |  浏览/下载：351/94  |  提交时间：2020/08/31
Bitcoin  Blockchain  Transaction fees  Transaction confirmation queueing game  
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
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：363/65  |  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  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：326/27  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：423/106  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
Moving from mass customization to social manufacturing: a footwear industry case study 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2019, 卷号: 32, 期号: 2, 页码: 194-205
作者:  Shang, Xiuqin;  Shen, Zhen;  Xiong, Gang;  Wang, Fei-Yue;  Liu, Sheng;  Nyberg, Timo R.;  Wu, Huaiyu;  Guo, Chao
浏览  |  Adobe PDF(2349Kb)  |  收藏  |  浏览/下载：472/120  |  提交时间：2019/07/12
Collaborative manufacturing  mass customisation  optimisation SM resources  
Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: 6, 期号: 1, 页码: 1079-1089
作者:  Han, Shuangshuang;  Wang, Xiao;  Zhang, Jun Jason;  Cao, Dongpu;  Wang, Fei-Yue
浏览  |  Adobe PDF(1880Kb)  |  收藏  |  浏览/下载：407/72  |  提交时间：2019/07/12
Cyber-social-physical system (CPSS)  Internet of Vehicles (IoV)  parallel system  social networks  
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：357/153  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network