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Knowledge Distillation for Travel Time Estimation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 12
作者:  Zhang, Haichao;  Zhao, Fang;  Wang, Chenxing;  Luo, Haiyong;  Xiong, Haoyu;  Fang, Yuchen
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Computational modeling  Trajectory  Roads  Global Positioning System  Predictive models  Estimation  Context modeling  Spatial-travel time estimation  temporal data mining  knowledge distillation  deep learning  
Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Zhao, Fang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Technological innovation  Global navigation satellite system  Navigation  Feature extraction  Adaptation models  Measurement uncertainty  Kalman filters  Deep learning  extended Kalman filter (EKF)  innovation matrix  integrated navigation  
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism  
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：30/0  |  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  
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  
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261
作者:  Wang, Rongrong;  Luo, Haiyong;  Wang, Qu;  Li, Zhaohui;  Zhao, Fang;  Huang, Jingyu
收藏  |  浏览/下载：142/0  |  提交时间：2020/12/10
Wireless fidelity  Feature extraction  Fingerprint recognition  Residual neural networks  Deep learning  Robustness  Degradation  Convolutional neural network (CNN)  indoor positioning  long short-term memory (LSTM)  residual network  spatial-temporal  
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  
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 25
作者:  Gao, Xile;  Luo, Haiyong;  Ning, Bokun;  Zhao, Fang;  Bao, Linfeng;  Gong, Yilin;  Xiao, Yimin;  Jiang, Jinguang
收藏  |  浏览/下载：57/0  |  提交时间：2020/12/10
integrated navigation  Kalman filter  process noise covariance estimation  reinforcement learning  deep deterministic policy gradient