Hanchi Liu

According to our database, Hanchi Liu authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multilevel Prototype Alignment for Cross-Domain Few-Shot Hyperspectral Image Classification.

Hanchi Liu, Jinrong He, Yuhang Li, Yingzhou Bi

IEEE Trans. Geosci. Remote. Sens., 2025

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

Yuhang Li, Jinrong He, Hanchi Liu, Yurong Zhang, Zhaokui Li

Neurocomputing, 2025

Semantic Guided prototype learning for Cross-Domain Few-Shot hyperspectral image classification.

Yuhang Li, Jinrong He, Hanchi Liu, Yurong Zhang, Zhaokui Li

Expert Syst. Appl., 2025

Unsupervised domain adaptation framework with global-local adversarial learning and masked image consistency for fish counting in deep-sea aquaculture.

Hanchi Liu, Xin Ma

Eng. Appl. Artif. Intell., 2025

2024

Fish Surface Damage Detection with Improved YOLOv7.

Hanchi Liu, Haoran Li, Xin Ma, Wenxin Jiang, Xiangnan Man, Rong Zheng

Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

2023

Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion.

Hanchi Liu, Jing Wang, Jiaqi Zhang, Haonan Jiang, Jing Xu, Peng Jiang, Fengkai Zhang, Qingmei Sui, Zhengfang Wang

IEEE Trans. Geosci. Remote. Sens., 2023

Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model.

Jinrong He, Yuanhao Liu, Longlong Zhai, Hanchi Liu

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.

Jing Wang, Hanchi Liu, Peng Jiang, Zhengfang Wang, Qingmei Sui, Fengkai Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

2021

GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings.

Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

IEEE Trans. Geosci. Remote. Sens., 2021

Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images.

Jing Wang, Kefu Chen, Hanchi Liu, Jiaqi Zhang, Wenqiang Kang, Shufan Li, Peng Jiang, Qingmei Sui, Zhengfang Wang

IEEE Access, 2021

2019

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

Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

CoRR, 2019