Hanchi Liu

Orcid: 0009-0000-8885-5844

According to our database1, Hanchi Liu authored at least 14 papers between 2019 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
DCAF-Net: Dual-Channel Attentive Fusion Network for Lower Limb Motion Intention Prediction in Stroke Rehabilitation Exoskeletons.
CoRR, December, 2025

Momentum-Enhanced Dual-Prototype Learning Framework for Robust Few-Shot Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

Multilevel Prototype Alignment for Cross-Domain Few-Shot Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

Multimodal prototypical networks with Co-metric fusion for few-shot hyperspectral image classification.
Neurocomputing, 2025

Semantic Guided prototype learning for Cross-Domain Few-Shot hyperspectral image classification.
Expert Syst. Appl., 2025

Unsupervised domain adaptation framework with global-local adversarial learning and masked image consistency for fish counting in deep-sea aquaculture.
Eng. Appl. Artif. Intell., 2025

Cross-Modal Domain Shared Feature Learning for Few-Shot Hyperspectral Image Classification.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2024
Fish Surface Damage Detection with Improved YOLOv7.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

2023
Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion.
IEEE Trans. Geosci. Remote. Sens., 2023

Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model.
Proceedings of the 6GN for Future Wireless Networks, 2023

2022
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings.
IEEE Trans. Geosci. Remote. Sens., 2021

Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images.
IEEE Access, 2021

2019
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining.
CoRR, 2019


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