Hailiang Tang

Orcid: 0000-0002-5224-036X

According to our database1, Hailiang Tang authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
BA-LINS: A Frame-to-Frame Bundle Adjustment for LiDAR-Inertial Navigation.
CoRR, 2024

Molecular Substructure-Aware Network With Reinforcement Pooling and Deep Attention Mechanism for Drug-Drug Interaction Prediction.
IEEE Access, 2024

Self-Supervised Real-World Image Denoising Based on Multi-Scale Feature Enhancement and Attention Fusion.
IEEE Access, 2024

2023
FF-LINS: A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator.
IEEE Robotics Autom. Lett., December, 2023

RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks.
Knowl. Based Syst., November, 2023

LE-VINS: A Robust Solid-State-LiDAR-Enhanced Visual-Inertial Navigation System for Low-Speed Robots.
IEEE Trans. Instrum. Meas., 2023

IC-GVINS: A Robust, Real-Time, INS-Centric GNSS-Visual-Inertial Navigation System.
IEEE Robotics Autom. Lett., 2023

SE-LIO: Semantics-enhanced Solid-State-LiDAR-Inertial Odometry for Tree-rich Environments.
CoRR, 2023

PO-VINS: An Efficient Pose-Only LiDAR-Enhanced Visual-Inertial State Estimator.
CoRR, 2023

2022
IC-GVINS: A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System for Wheeled Robot.
CoRR, 2022

2021
OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer.
CoRR, 2021

Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization.
CoRR, 2021

2020
Implementation and Performance of a Deeply-Coupled GNSS Receiver with Low-Cost MEMS Inertial Sensors for Vehicle Urban Navigation.
Sensors, 2020

2019
Artificial Marker and MEMS IMU-Based Pose Estimation Method to Meet Multirotor UAV Landing Requirements.
Sensors, 2019


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