Xinlong Liu
Orcid: 0000-0002-4947-662X
According to our database1,
Xinlong Liu
authored at least 36 papers
between 2016 and 2024.
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Bibliography
2024
A novel fractional physics-informed neural networks method for solving the time-fractional Huxley equation.
Neural Comput. Appl., October, 2024
MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection.
Neural Networks, 2024
A fine-grained grading network for natural products based on dynamic association inference.
Eng. Appl. Artif. Intell., 2024
An intelligent quality prediction and autonomous decision system for natural products manufacturing processes.
Comput. Ind. Eng., 2024
Monitoring Surface Subsidence Using Time Series InSAR Technology and Sentinel-1 Data in Hunshandake Sandy Land.
Proceedings of the IGARSS 2024, 2024
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024
2023
LPFE-Net: a local parallel feature extraction network for large-scale point cloud semantic segmentation.
J. Electronic Imaging, 2023
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation.
CoRR, 2023
DMAM-UNET:An Improved Unet Semantic Segmentation for Water Body Extraction from Remotely Sensed Image.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the 2023 30th International Conference on Geoinformatics, 2023
2022
Neurocomputing, 2022
Numerical analysis of fourth-order compact difference scheme for inhomogeneous time-fractional Burgers-Huxley equation.
Comput. Math. Appl., 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
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.
Proceedings of the IEEE International Conference on Digital Health, 2021
2020
Domain Adaptation in law:professional fact descriptions to non-professional fact descriptions.
Dataset, July, 2020
An End-To-End Bayesian Segmentation Network Based on a Generative Adversarial Network for Remote Sensing Images.
Remote. Sens., 2020
Statistical Convolutional Neural Network for Land-Cover Classification From SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2020
2019
Remote. Sens., 2019
Statistics Learning Network Based on the Quadratic Form for SAR Image Classification.
Remote. Sens., 2019
2018
A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification.
Remote. Sens., 2018
Fully Convolutional Network with Polarimetric Manifold for SAR Imagery Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
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.
IEEE Trans. Geosci. Remote. Sens., 2017
An Empirical Mode Decomposition Method for Sea Surface Wind Measurements From X-Band Nautical Radar Data.
IEEE Trans. Geosci. Remote. Sens., 2017
Remote. Sens., 2017
Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field.
Remote. Sens., 2017
Estimation of Significant Wave Height From X-Band Marine Radar Images Based on Ensemble Empirical Mode Decomposition.
IEEE Geosci. Remote. Sens. Lett., 2017
ISPRS Int. J. Geo Inf., 2017
Mixture Statistical Distribution Based Multiple Component Model for Target Detection in High Resolution SAR Imagery.
ISPRS Int. J. Geo Inf., 2017
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.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016