Wenchao Liu

According to our database, Wenchao Liu authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Spatio-Temporal Pruning for Training Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification.

Jiahao Li, Ming Xu, He Chen, Wenchao Liu, Liang Chen, Yizhuang Xie

Remote. Sens., September, 2024

Q-A2NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification.

Ning Zhang, He Chen, Liang Chen, Jue Wang, Guoqing Wang, Wenchao Liu

Remote. Sens., July, 2024

Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing.

Guoqing Wang, Ning Zhang, Jue Wang, Wenchao Liu, Yizhuang Xie, He Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Scale-Frequency Dual-Modulation Method for Remote Sensing Image Continuous Super-Resolution.

Shize Gao, Guoqing Wang, Baorong Xie, Xin Wei, Jue Wang, Wenchao Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Domain Adaptive Remote Sensing Scene Classification With Middle-Layer Feature Extraction and Nuclear Norm Maximization.

Ruitong Du, Guoqing Wang, Ning Zhang, Liang Chen, Wenchao Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Axial-Shift Feature Interaction and Prototype-Guided Penalty Constraint for Remote Sensing Change Detection.

Guoqing Wang, He Chen, Jie Li, Jue Wang, Wenchao Liu, Liang Chen

IEEE Geosci. Remote. Sens. Lett., 2024

2023

All Adder Neural Networks for On-Board Remote Sensing Scene Classification.

Ning Zhang, Guoqing Wang, Jue Wang, He Chen, Wenchao Liu, Liang Chen

IEEE Trans. Geosci. Remote. Sens., 2023

An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification.

Ning Zhang, Shuo Ni, Tingting Qiao, Wenchao Liu, He Chen

Proceedings of the International Conference on Field Programmable Technology, 2023

2022

Sphere Loss: Learning Discriminative Features for Scene Classification in a Hyperspherical Feature Space.

Jue Wang, He Chen, Long Ma, Liang Chen, Xiaodong Gong, Wenchao Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Automatic Deployment of Convolutional Neural Networks on FPGA for Spaceborne Remote Sensing Application.

Tianwei Yan, Ning Zhang, Jie Li, Wenchao Liu, He Chen

Remote. Sens., 2022

RDPN: Tackling the Data Shift Problem in Remote Sensing Scene Classification.

Xiang Zhang, Xin Wei, Ning Zhang, Wenchao Liu, Yizhuang Xie

IEEE Geosci. Remote. Sens. Lett., 2022

Cosine Margin Prototypical Networks for Remote Sensing Scene Classification.

Xiang Zhang, Tianyu Wei, Wenchao Liu, Yizhuang Xie

IEEE Geosci. Remote. Sens. Lett., 2022

NAS-Based CNN Channel Pruning for Remote Sensing Scene Classification.

Xin Wei, Ning Zhang, Wenchao Liu, He Chen

IEEE Geosci. Remote. Sens. Lett., 2022

MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification.

Guoqing Wang, Ning Zhang, Wenchao Liu, He Chen, Yizhuang Xie

IEEE Geosci. Remote. Sens. Lett., 2022

Effective Multiscale Residual Network With High-Order Feature Representation for Optical Remote Sensing Scene Classification.

Can Li, Yin Zhuang, Wenchao Liu, Shan Dong, Hailin Du, He Chen, Boya Zhao

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Mixed-Precision Quantization for CNN-Based Remote Sensing Scene Classification.

Xin Wei, He Chen, Wenchao Liu, Yizhuang Xie

IEEE Geosci. Remote. Sens. Lett., 2021

2020

Marginal Center Loss for Deep Remote Sensing Image Scene Classification.

Tianyu Wei, Jue Wang, Wenchao Liu, He Chen, Hao Shi

IEEE Geosci. Remote. Sens. Lett., 2020

2019

FPGA-Based Hybrid-Type Implementation of Quantized Neural Networks for Remote Sensing Applications.

Xin Wei, Wenchao Liu, Lei Chen, Long Ma, He Chen, Yin Zhuang

Sensors, 2019

Detection of Multiclass Objects in Optical Remote Sensing Images.

Wenchao Liu, Long Ma, Jue Wang, He Chen

IEEE Geosci. Remote. Sens. Lett., 2019

Optical Remote Sensing Water-Land Segmentation Representation Based on Proposed SNS-CNN Network.

Shan Dong, Long Pang, Yin Zhuang, Wenchao Liu, Zhanxin Yang, Teng Long

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Inshore Ship Change Detection Based on Spatial-Temporal Saliency.

Long Ma, Wenchao Liu, Zhong Han, Jue Wang, He Chen

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

IORN: An Effective Remote Sensing Image Scene Classification Framework.

Jue Wang, Wenchao Liu, Long Ma, He Chen, Liang Chen

IEEE Geosci. Remote. Sens. Lett., 2018

Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images.

Wenchao Liu, Long Ma, He Chen

IEEE Geosci. Remote. Sens. Lett., 2018

Change Detection in Optical Remote Sensing Images with a Fully Object-Level Approach.

Long Ma, Zhihong Mai, He Chen, Wenchao Liu, Fan Feng, Guichi Liu, Nouman Qadeer Soomro

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Hardware Implementation of Convolutional Neural Network-Based Remote Sensing Image Classification Method.

Lei Chen, Xin Wei, Wenchao Liu, He Chen, Liang Chen

Proceedings of the Communications, Signal Processing, and Systems, 2018

2017

Sea - Land Segmentation for Panchromatic Remote Sensing Imagery via Integrating Improved MNcut and Chan - Vese Model.

Wenchao Liu, Long Ma, He Chen, Zhong Han, Nouman Qadeer Soomro

IEEE Geosci. Remote. Sens. Lett., 2017