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CASIA OpenIR
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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：800/144  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
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：355/116  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
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：150/54  |  提交时间：2022/09/08
Cut-in behavior  interaction-aware  mixed traffic  risk assessment  trajectory prediction  
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：261/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
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：409/103  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by Web crawler 期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 3, 页码: 547-553
作者:  Weng, Yuchen;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Wang, Fei-yue
浏览  |  Adobe PDF(1374Kb)  |  收藏  |  浏览/下载：352/170  |  提交时间：2020/06/08
Web crawler  cucumber  agricultural CPSS framework  ARIMA model  neural network  price forecasting  
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：307/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 184581-184598
作者:  Liu, Yating;  Wang, Kunfeng;  Li, Xuesong;  Bai, Tianxiang;  Wang, Fei-Yue
Adobe PDF(4276Kb)  |  收藏  |  浏览/下载：189/29  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Identification and analysis of driver postures for in-vehicle driving activities and secondary tasks recognition 期刊论文
IEEE Transactions on Computational Social Systems, 2017, 卷号: PP, 期号: 99, 页码: 1-14
作者:  Yang Xing;  Chen Lv;  Zhaozhong Zhang;  Huaji Wang;  Xiaoxiang Na;  Dongpu Cao;  Efstathios Velenis;  Fei-Yue Wang
浏览  |  Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：300/94  |  提交时间：2018/01/08
Driver Behavior  Driver Distraction  Feedforward Neural Network (Ffnn)  Kinect  Random Forest (Rf).  
An efficient realization of deep learning for traffic data imputation 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  Duan, Yanjie;  Lv, Yisheng;  Liu, Yu-Liang;  Wang, Fei-Yue
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：557/272  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data