Haiyong Luo

A destination prediction algorithm using spatial temporal bidirectional LSTM networks

Fang Zhao, Wenhua Shao, Zhaoxu Lu, 2019, IPIN.

Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones

Fang Zhao, Chenxing Wang, Haiyong Luo, 2020, IEEE Transactions on Intelligent Transportation Systems.

Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details pdf

Chang Liu, Zhuqing Jiang, Aidong Men, 2021, ArXiv.

Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation

Fang Zhao, Xile Gao, Haiyong Luo, 2021, IEEE Transactions on Instrumentation and Measurement.

Personalized Stride-Length Estimation Based on Active Online Learning

Aidong Men, Fang Zhao, Changhai Ou, 2020, IEEE Internet of Things Journal.

Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages

Zhaohui Li, Fang Zhao, Haiyong Luo, 2021, IEEE Transactions on Instrumentation and Measurement.

A Spatial–Temporal Positioning Algorithm Using Residual Network and LSTM

Zhaohui Li, Rongrong Wang, Fang Zhao, 2020, IEEE Transactions on Instrumentation and Measurement.

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

Fang Zhao, Yuexia Zhang, Jiaqi Wang, 2019, IEEE Access.