Xinlong Liu

According to our database, Xinlong Liu authored at least 29 papers between 2016 and 2023.

Collaborative distances:

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

2023

AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation.

Guangyi Xiao, Xinlong Liu, Hao Chen, Jingzhi Guo, Zhiguo Gong

CoRR, 2023

DMAM-UNET:An Improved Unet Semantic Segmentation for Water Body Extraction from Remotely Sensed Image.

Zirong Liu, Xinlong Liu, Menghui Yu, Xiaohong Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Design and Research of Smart Sluice Station Based on GIS and BIM.

Zilin Li, Xinlong Liu, Xiaohong Yang

Proceedings of the 2023 30th International Conference on Geoinformatics, 2023

2022

Concrete crack segmentation based on UAV-enabled edge computing.

Jianxi Yang, Hao Li, Junzhi Zou, Shixin Jiang, Ren Li, Xinlong Liu

Neurocomputing, 2022

Numerical analysis of fourth-order compact difference scheme for inhomogeneous time-fractional Burgers-Huxley equation.

Xiaozhong Yang, Xinlong Liu

Comput. Math. Appl., 2022

Multi-level translocation events analysis in solid-state nanopore current traces.

Xinlong Liu, Zepeng Sun, Wei Liu, Feng Qiao, Li Cui, Jing Yang, Jingjie Sha, Jian Li, Li-Qun Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Multiscale Attention Mechanism Based Vehicle Re-Identification.

Lifang Du, Chaoshun Yu, Cong Shuai, Xinlong Liu, Jianxi Yang, Yufan Zhang

Proceedings of the 7th International Conference on Systems and Informatics, 2021

Knowledge Graph Building from Real-world Multisource "Dirty" Clinical Electronic Medical Records for Intelligent Consultation Applications.

Xinlong Liu, Li-Qun Xu

Proceedings of the IEEE International Conference on Digital Health, 2021

2020

Domain Adaptation in law:professional fact descriptions to non-professional fact descriptions.

Guangyi Xiao, Xinlong Liu, Xu Han

Dataset, July, 2020

An End-To-End Bayesian Segmentation Network Based on a Generative Adversarial Network for Remote Sensing Images.

Dehui Xiong, Chu He, Xinlong Liu, Mingsheng Liao

Remote. Sens., 2020

Statistical Convolutional Neural Network for Land-Cover Classification From SAR Images.

Xinlong Liu, Chu He, Qingyi Zhang, Mingsheng Liao

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Pattern Statistics Network for Classification of High-Resolution SAR Images.

Xinlong Liu, Chu He, Dehui Xiong, Mingsheng Liao

Remote. Sens., 2019

Statistics Learning Network Based on the Quadratic Form for SAR Image Classification.

Chu He, Bokun He, Xinlong Liu, Chenyao Kang, Mingsheng Liao

Remote. Sens., 2019

2018

A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification.

Yan Wang, Chu He, Xinlong Liu, Mingsheng Liao

Remote. Sens., 2018

Fully Convolutional Network with Polarimetric Manifold for SAR Imagery Classification.

Mingxia Tu, Gong Han, Xinlong Liu, Chu He

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

Pattern Strengthened Deep Model for Sar Image Classification.

Xinlong Liu, Yan Wang, Gong Han, Mingxia Tu, Chu He

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

Polarimetric Phase Difference Aided Network for Polsar Image Classification.

Xinlong Liu, Mingxia Tu, Yan Wang, Chu He

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

Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification.

Xinlong Liu, Bokun He, Chu He

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Wind Direction Estimation From Rain-Contaminated Marine Radar Data Using the Ensemble Empirical Mode Decomposition Method.

Xinlong Liu, Weimin Huang, Eric W. Gill

IEEE Trans. Geosci. Remote. Sens., 2017

An Empirical Mode Decomposition Method for Sea Surface Wind Measurements From X-Band Nautical Radar Data.

Weimin Huang, Xinlong Liu, Eric W. Gill

IEEE Trans. Geosci. Remote. Sens., 2017

Ocean Wind and Wave Measurements Using X-Band Marine Radar: A Comprehensive Review.

Weimin Huang, Xinlong Liu, Eric W. Gill

Remote. Sens., 2017

Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field.

Chu He, Xinlong Liu, Di Feng, Bo Shi, Bin Luo, Mingsheng Liao

Remote. Sens., 2017

Estimation of Significant Wave Height From X-Band Marine Radar Images Based on Ensemble Empirical Mode Decomposition.

Xinlong Liu, Weimin Huang, Eric W. Gill

IEEE Geosci. Remote. Sens. Lett., 2017

Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images.

Rui Xu, Chu He, Xinlong Liu, Dong Chen, Qianqing Qin

ISPRS Int. J. Geo Inf., 2017

Mixture Statistical Distribution Based Multiple Component Model for Target Detection in High Resolution SAR Imagery.

Chu He, Mingxia Tu, Xinlong Liu, Dehui Xiong, Mingsheng Liao

ISPRS Int. J. Geo Inf., 2017

Attribute Learning for SAR Image Classification.

Chu He, Xinlong Liu, Chenyao Kang, Dong Chen, Mingsheng Liao

ISPRS Int. J. Geo Inf., 2017

Fusion of statistical and learnt features for SAR images classification.

Chu He, Xinlong Liu, Gong Han, Chenyao Kang, Yu Chen

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A low-rank fully convolutional network for classification based on a multi-dimensional description primitive of time series polarimetric sar images.

Chu He, Gong Han, Xinlong Liu, Huai Yu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Wave Height Estimation from Shipborne X-Band Nautical Radar Images.

Xinlong Liu, Weimin Huang, Eric W. Gill

J. Sensors, 2016