Wave Height Estimation from Shipborne X-Band Nautical Radar Images. - Xinlong Liu; Weimin Huang 001; Eric W. Gill (J. Sensors, 2016)

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 (IGARSS, 2017)

Fusion of statistical and learnt features for SAR images classification. - Chu He; Xinlong Liu; Gong Han; Chenyao Kang; Yu Chen 001 (IGARSS, 2017)

Attribute Learning for SAR Image Classification. - Chu He; Xinlong Liu; Chenyao Kang; Dong Chen; Mingsheng Liao (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)

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)

Estimation of Significant Wave Height From X-Band Marine Radar Images Based on Ensemble Empirical Mode Decomposition. - Xinlong Liu; Weimin Huang 001; Eric W. Gill (IEEE Geosci. Remote. Sens. Lett., 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)

Ocean Wind and Wave Measurements Using X-Band Marine Radar: A Comprehensive Review. - Weimin Huang 001; Xinlong Liu; Eric W. Gill (Remote. Sens., 2017)

An Empirical Mode Decomposition Method for Sea Surface Wind Measurements From X-Band Nautical Radar Data. - Weimin Huang 001; Xinlong Liu; Eric W. Gill (IEEE Trans. Geosci. Remote. Sens., 2017)

Wind Direction Estimation From Rain-Contaminated Marine Radar Data Using the Ensemble Empirical Mode Decomposition Method. - Xinlong Liu; Weimin Huang 001; Eric W. Gill (IEEE Trans. Geosci. Remote. Sens., 2017)

Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification. - Xinlong Liu; Bokun He; Chu He (ICPR, 2018)

Polarimetric Phase Difference Aided Network for Polsar Image Classification. - Xinlong Liu; Mingxia Tu; Yan Wang 035; Chu He (IGARSS, 2018)

Pattern Strengthened Deep Model for Sar Image Classification. - Xinlong Liu; Yan Wang 035; Gong Han; Mingxia Tu; Chu He (IGARSS, 2018)

Fully Convolutional Network with Polarimetric Manifold for SAR Imagery Classification. - Mingxia Tu; Gong Han; Xinlong Liu; Chu He (IGARSS, 2018)

A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification. - Yan Wang 035; Chu He; Xinlong Liu; Mingsheng Liao (Remote. Sens., 2018)

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)

Pattern Statistics Network for Classification of High-Resolution SAR Images. - Xinlong Liu; Chu He; Dehui Xiong; Mingsheng Liao (Remote. Sens., 2019)

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)

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)

Domain Adaptation in law:professional fact descriptions to non-professional fact descriptions. - Guangyi Xiao; Xinlong Liu; Xu Han (IEEE DataPort, 2020)

Knowledge Graph Building from Real-world Multisource "Dirty" Clinical Electronic Medical Records for Intelligent Consultation Applications. - Xinlong Liu; Li-Qun Xu (ICDH, 2021)

A Multiscale Attention Mechanism Based Vehicle Re-Identification. - Lifang Du; Chaoshun Yu; Cong Shuai; Xinlong Liu; Jianxi Yang; Yufan Zhang (ICSAI, 2021)

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 (BIBM, 2022)

Numerical analysis of fourth-order compact difference scheme for inhomogeneous time-fractional Burgers-Huxley equation. - Xiaozhong Yang; Xinlong Liu (Comput. Math. Appl., 2022)

Concrete crack segmentation based on UAV-enabled edge computing. - Jianxi Yang; Hao Li; Junzhi Zou; Shixin Jiang; Ren Li; Xinlong Liu (Neurocomputing, 2022)

Design and Research of Smart Sluice Station Based on GIS and BIM. - Zilin Li; Xinlong Liu; Xiaohong Yang (Geoinformatics, 2023)

DMAM-UNET:An Improved Unet Semantic Segmentation for Water Body Extraction from Remotely Sensed Image. - Zirong Liu; Xinlong Liu; Menghui Yu; Xiaohong Yang (IGARSS, 2023)

AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation. - Guangyi Xiao; Xinlong Liu; Hao Chen 051; Jingzhi Guo; Zhiguo Gong (CoRR, 2023)

LPFE-Net: a local parallel feature extraction network for large-scale point cloud semantic segmentation. - Da Ai; Xiaoyang Zhang; Ce Xu; Xinlong Liu; Hui Yuan 001; Ying Liu 026 (J. Electronic Imaging, 2023)

High-Dimensional Feature Fusion for Font Generation with Denoising Diffusion. - Xinlong Liu; Xiafen Zhang (ICMLCA, 2024)

Monitoring Surface Subsidence Using Time Series InSAR Technology and Sentinel-1 Data in Hunshandake Sandy Land. - Xian Gao; Hongcong Yang; Xiangli Yang; Xinlong Liu; Pingping Huang; Weixian Tan; Zhiguo Wang (IGARSS, 2024)

An intelligent quality prediction and autonomous decision system for natural products manufacturing processes. - Qilong Xue; Yang Yu; Shixin Cen; Yukang Cheng; Xinlong Liu; Guijun Li; Qinglong Gao; Shan Gao; Zheng Li (Comput. Ind. Eng., 2024)

A fine-grained grading network for natural products based on dynamic association inference. - Shixin Cen; Qilong Xue; Yang Yu; Xinlong Liu; Zhouyou Wu; Peiqi Miao; Zheng Li (Eng. Appl. Artif. Intell., 2024)

MSRMNet: Multi-scale skip residual and multi-mixed features network for salient object detection. - Xinlong Liu; Luping Wang (Neural Networks, 2024)

A novel fractional physics-informed neural networks method for solving the time-fractional Huxley equation. - Jieyu Shi; Xiaozhong Yang; Xinlong Liu (Neural Comput. Appl., 2024)

A fast compact difference scheme on graded meshes for solving the time-fractional nonlinear KdV equation. - Xinlong Liu; Jieyu Shi; Xiaozhong Yang (Int. J. Comput. Math., 2025)