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Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：364/71  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Multi-object tracking with hard-soft attention network and group-based cost minimization 期刊论文
NEUROCOMPUTING, 2021, 卷号: 447, 页码: 80-91
作者:  Liu, Yating;  Li, Xuesong;  Bai, Tianxiang;  Wang, Kunfeng;  Wang, Fei-Yue
Adobe PDF(2352Kb)  |  收藏  |  浏览/下载：309/78  |  提交时间：2021/08/15
Multi-object tracking  Attention mechanism  Unary and binary costs  Appearance-motion affinity  
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：193/30  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2019, 卷号: 00, 期号: 00, 页码: 00
作者:  Peijun Ye;  Fenghua Zhu;  Samer Sabri;  Fei-Yue Wang
浏览  |  Adobe PDF(2643Kb)  |  收藏  |  浏览/下载：283/84  |  提交时间：2019/10/10
Population Synthesis  Multiple Social Relationships  Tensor Decomposition  Agent-based Simulation  
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：320/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction