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ORCIDWenchao Liu 0001
Person information
- affiliation: Beijing Institute of Technology, National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing, China
Other persons with the same name
- Wenchao Liu — disambiguation page
- Wenchao Liu 0002
![[0000-0002-3416-5626]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3416-5626")
— Engineering University of People's Armed Police, College of Cryptography Engineering, Xi'an, China - Wenchao Liu 0003 — Hubei University, Wuhan, China
- Wenchao Liu 0004 — Yanshan University, Qinhuangdao, China
- Wenchao Liu 0005 — Fuzhou University, School of Mechanical Engineering and Automation, Fuzhou, China
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2020 – today
- 2024
[j20]Guoqing Wang, He Chen, Jie Li, Jue Wang, Wenchao Liu, Liang Chen:
Axial-Shift Feature Interaction and Prototype-Guided Penalty Constraint for Remote Sensing Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j19]Ning Zhang, He Chen, Liang Chen, Jue Wang, Guoqing Wang, Wenchao Liu:
Q-A2NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification. Remote. Sens. 16(13): 2403 (2024) - [j18]Jiahao Li, Ming Xu, He Chen, Wenchao Liu, Liang Chen, Yizhuang Xie:
Spatio-Temporal Pruning for Training Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification. Remote. Sens. 16(17): 3200 (2024) - [j17]Ruitong Du, Guoqing Wang, Ning Zhang, Liang Chen, Wenchao Liu:
Domain Adaptive Remote Sensing Scene Classification With Middle-Layer Feature Extraction and Nuclear Norm Maximization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 2448-2460 (2024) - [j16]Guoqing Wang, Ning Zhang, Jue Wang, Wenchao Liu, Yizhuang Xie, He Chen:
Knowledge Distillation-Based Lightweight Change Detection in High-Resolution Remote Sensing Imagery for On-Board Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3860-3877 (2024) - 2023
- [j15]Ning Zhang, Guoqing Wang, Jue Wang, He Chen, Wenchao Liu, Liang Chen:
All Adder Neural Networks for On-Board Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c5]Ning Zhang, Shuo Ni, Tingting Qiao, Wenchao Liu, He Chen:
An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification. ICFPT 2023: 258-261 - 2022
- [j14]Can Li, Yin Zhuang, Wenchao Liu, Shan Dong, Hailin Du, He Chen, Boya Zhao:
Effective Multiscale Residual Network With High-Order Feature Representation for Optical Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j13]Guoqing Wang, Ning Zhang, Wenchao Liu, He Chen, Yizhuang Xie:
MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Xin Wei, Ning Zhang, Wenchao Liu, He Chen:
NAS-Based CNN Channel Pruning for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j11]Xiang Zhang, Tianyu Wei, Wenchao Liu, Yizhuang Xie:
Cosine Margin Prototypical Networks for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j10]Xiang Zhang, Xin Wei, Ning Zhang, Wenchao Liu, Yizhuang Xie:
RDPN: Tackling the Data Shift Problem in Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Tianwei Yan, Ning Zhang, Jie Li, Wenchao Liu, He Chen:
Automatic Deployment of Convolutional Neural Networks on FPGA for Spaceborne Remote Sensing Application. Remote. Sens. 14(13): 3130 (2022) - [j8]Jue Wang, He Chen, Long Ma, Liang Chen, Xiaodong Gong, Wenchao Liu:
Sphere Loss: Learning Discriminative Features for Scene Classification in a Hyperspherical Feature Space. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - 2021
- [j7]Xin Wei, He Chen, Wenchao Liu, Yizhuang Xie:
Mixed-Precision Quantization for CNN-Based Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 18(10): 1721-1725 (2021) - 2020
- [j6]Tianyu Wei, Jue Wang, Wenchao Liu, He Chen, Hao Shi:
Marginal Center Loss for Deep Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 17(6): 968-972 (2020)
2010 – 2019
- 2019
- [j5]Wenchao Liu, Long Ma, Jue Wang, He Chen:
Detection of Multiclass Objects in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 16(5): 791-795 (2019) - [j4]Xin Wei, Wenchao Liu, Lei Chen, Long Ma, He Chen, Yin Zhuang:
FPGA-Based Hybrid-Type Implementation of Quantized Neural Networks for Remote Sensing Applications. Sensors 19(4): 924 (2019) - [c4]Long Ma, Wenchao Liu, Zhong Han, Jue Wang, He Chen:
Inshore Ship Change Detection Based on Spatial-Temporal Saliency. IGARSS 2019: 1641-1644 - [c3]Shan Dong, Long Pang, Yin Zhuang, Wenchao Liu, Zhanxin Yang, Teng Long:
Optical Remote Sensing Water-Land Segmentation Representation Based on Proposed SNS-CNN Network. IGARSS 2019: 3895-3898 - 2018
- [j3]Wenchao Liu, Long Ma, He Chen:
Arbitrary-Oriented Ship Detection Framework in Optical Remote-Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15(6): 937-941 (2018) - [j2]Jue Wang, Wenchao Liu, Long Ma, He Chen, Liang Chen:
IORN: An Effective Remote Sensing Image Scene Classification Framework. IEEE Geosci. Remote. Sens. Lett. 15(11): 1695-1699 (2018) - [c2]Lei Chen, Xin Wei, Wenchao Liu, He Chen, Liang Chen:
Hardware Implementation of Convolutional Neural Network-Based Remote Sensing Image Classification Method. CSPS (2) 2018: 140-148 - [c1]Long Ma, Zhihong Mai, He Chen, Wenchao Liu, Fan Feng, Guichi Liu, Nouman Qadeer Soomro:
Change Detection in Optical Remote Sensing Images with a Fully Object-Level Approach. IGARSS 2018: 1914-1917 - 2017
- [j1]Wenchao Liu, Long Ma, He Chen, Zhong Han, Nouman Qadeer Soomro:
Sea - Land Segmentation for Panchromatic Remote Sensing Imagery via Integrating Improved MNcut and Chan - Vese Model. IEEE Geosci. Remote. Sens. Lett. 14(12): 2443-2447 (2017)
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