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Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 18
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/16
Cyber-physical-social systems (CPSS)  artificial systems  computational experiments  parallel execution (ACP)  decentralized/distributed autonomous operations and organizations (DAO)  big AI models  
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition 期刊论文
INFORMATION FUSION, 2022, 卷号: 80, 页码: 1-22
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：244/0  |  提交时间：2022/01/27
Meta-learning  Internet of Things  Graph model  Attention mechanisms  
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：281/41  |  提交时间：2021/03/01
Image-to-image translation  Generative adversarial networks  Image enhancement  Image denoising  
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：285/53  |  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  
Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：315/54  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Parallel control for continuous-time linear systems: A case study 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 919-928
作者:  Wei, Qinglai;  Li, Hongyang;  Wang, Fei-Yue
Adobe PDF(4146Kb)  |  收藏  |  浏览/下载：242/25  |  提交时间：2020/08/03
Continuous-time linear systems  digital twin  parallel controller  parallel intelligence  parallel systems  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载：332/48  |  提交时间：2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
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：356/65  |  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  
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：437/223  |  提交时间：2020/10/15
Intelligent transportation systems  
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：315/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction