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Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 13
作者:  Wang, Chenxing;  Zhao, Fang;  Zhang, Haichao;  Luo, Haiyong;  Qin, Yanjun;  Fang, Yuchen
收藏  |  浏览/下载:19/0  |  提交时间:2022/12/07
Estimation  Trajectory  Task analysis  Urban areas  Roads  Data models  Global Positioning System  Spatial-temporal data mining  travel time estimation  meta learning  deep learning  
MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang;  Guo, Song
收藏  |  浏览/下载:29/0  |  提交时间:2022/06/21
Transportation  Feature extraction  Data models  Navigation  Computational modeling  Bagging  Accelerometers  Cross-place  transportation mode recognition  SF-SEDNet  global attention  ensemble learning  data augmentation  
Accurate Indoor Positioning Using Temporal-Spatial Constraints Based on Wi-Fi Fine Time Measurements 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 11, 页码: 11006-11019
作者:  Shao, Wenhua;  Luo, Haiyong;  Zhao, Fang;  Tian, Hui;  Yan, Shuo;  Crivello, Antonino
收藏  |  浏览/下载:31/0  |  提交时间:2021/12/01
Distance measurement  Wireless fidelity  Estimation  Fingerprint recognition  Position measurement  Antenna arrays  MIMO communication  Fine time measurements (FTMs)  IEEE 80211mc-2016  indoor positioning  Internet of Things  Wi-Fi positioning  
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency