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Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Fang, Yuchen;  Zhao, Fang;  Qin, Yanjun;  Luo, Haiyong;  Wang, Chenxing
收藏  |  浏览/下载：31/0  |  提交时间：2022/12/07
Forecasting  Correlation  Convolution  Roads  Transformers  Predictive models  Task analysis  Traffic forecasting  spatio-temporal joint transformer  diffusion convolution network  
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  
Particle Filter Reinforcement via Context-Sensing for Smartphone-Based Pedestrian Dead Reckoning 期刊论文
IEEE COMMUNICATIONS LETTERS, 2021, 卷号: 25, 期号: 9, 页码: 3144-3148
作者:  Shao, Wenhua;  Zhao, Fang;  Luo, Haiyong;  Tian, Hui;  Li, Jiaxin;  Crivello, Antonino
收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01
Particle filters  Neural networks  Reinforcement learning  Mathematical model  Particle measurements  Estimation  Atmospheric measurements  Indoor location tracking  particle filter  pedestrian dead reckoning  reinforcement learning  smartphone-based navigation  
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise  
Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 16
作者:  Lu, Shuangqiu;  Gong, Yilin;  Luo, Haiyong;  Zhao, Fang;  Li, Zhaohui;  Jiang, Jinguang
收藏  |  浏览/下载：30/0  |  提交时间：2021/12/01
Artificial intelligence (AI) and neural networks (NNs)  global position system (GPS) outages  inertial navigation system (INS)/GPS integrated navigation  multi-task learning (MTL)  multiple pseudo-measurement estimation  
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  
Personalized Stride-Length Estimation Based on Active Online Learning 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 6, 页码: 4885-4897
作者:  Wang, Qu;  Luo, Haiyong;  Ye, Langlang;  Men, Aidong;  Zhao, Fang;  Huang, Yan;  Ou, Changhai
收藏  |  浏览/下载：55/0  |  提交时间：2020/12/10
Indoor positioning  Internet of Things (IoT)  online learning  pedestrian dead reckoning (PDR)  stride-length estimation (SLE)  walking-distance estimation  
Pedestrian Walking Distance Estimation Based on Smartphone Mode Recognition 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 9, 页码: 23
作者:  Wang, Qu;  Ye, Langlang;  Luo, Haiyong;  Men, Aidong;  Zhao, Fang;  Ou, Changhai
收藏  |  浏览/下载：77/0  |  提交时间：2019/08/16
indoor positioning  machine learning  pedestrian dead reckoning  stride length estimation  smartphone mode recognition  
A Fast Indoor/Outdoor Transition Detection Algorithm Based on Machine Learning 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 23
作者:  Zhu, Yida;  Luo, Haiyong;  Wang, Qu;  Zhao, Fang;  Ning, Bokun;  Ke, Qixue;  Zhang, Chen
收藏  |  浏览/下载：83/0  |  提交时间：2019/08/16
machine learning  quickly switching  GNSS measurements  indoor  outdoor detection  seamless indoor and outdoor navigation and positioning  smartphone