Ontology-based home service model. - Moji Wei; Jianliang Xu; Hongyan Yun; Linlin Xu (Comput. Sci. Inf. Syst., 2012)

Heterogeneous Integration of Bio-Sensing System-on-Chip and Printed Electronics. - Li Xie; Geng Yang; Matti Mäntysalo; Linlin Xu; Fredrik Jonsson; Li-Rong Zheng 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

Characterization of dry biopotential electrodes. - Li Xie; Geng Yang; Linlin Xu; Fernando Seoane; Qiang Chen 014; Li-Rong Zheng 001 (EMBC, 2013)

Modeling by Drawing with Shadow Guidance. - Lubin Fan; Ruimin Wang; Linlin Xu; Jiansong Deng; Ligang Liu 001 (Comput. Graph. Forum, 2013)

Bayesian Classification of Hyperspectral Imagery Based on Probabilistic Sparse Representation and Markov Random Field. - Linlin Xu; Jonathan Li 001 (IEEE Geosci. Remote. Sens. Lett., 2014)

K-P-Means: A Clustering Algorithm of K "Purified" Means for Hyperspectral Endmember Estimation. - Linlin Xu; Jonathan Li 001; Alexander Wong; Junhuan Peng (IEEE Geosci. Remote. Sens. Lett., 2014)

SAR Image Denoising via Clustering-Based Principal Component Analysis. - Linlin Xu; Jonathan Li 001; Yuanming Shu; Junhuan Peng (IEEE Trans. Geosci. Remote. Sens., 2014)

Mixture of Latent Variable Models for Remotely Sensed Image Processing. - Linlin Xu (2014)

Study of Heterogeneous Dorsal Hand Vein Recognition Based on Multi-device. - Yiding Wang; Linlin Xu (CCBR, 2015)

A semi-supervised approach for ice-water classification using dual-polarization SAR satellite imagery. - Fan Li 005; David A. Clausi; Lei Wang 038; Linlin Xu (CVPR Workshops, 2015)

Oil spill candidate detection from SAR imagery using a thresholding-guided stochastic fully-connected conditional random field model. - Linlin Xu; Mohammad Javad Shafiee; Alexander Wong; Fan Li 005; Lei Wang 038; David A. Clausi (CVPR Workshops, 2015)

On the Security of a Mutual Authentication and Key Agreement Protocol Based on Chaotic Maps. - Chien-Ming Chen 001; Linlin Xu; Xiaojie Zhang; Tsu-Yang Wu; Jeng-Shyang Pan 001 (RVSP, 2015)

Survey on sparsity in geometric modeling and processing. - Linlin Xu; Ruimin Wang; Juyong Zhang; Zhouwang Yang; Jiansong Deng; Falai Chen; Ligang Liu 001 (Graph. Model., 2015)

QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images. - Fan Li 005; Linlin Xu; Alexander Wong; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2015)

Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning. - Fan Li 005; Linlin Xu; Alexander Wong; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2015)

Hyperspectral Image Classification With Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields. - Fan Li 005; Linlin Xu; Parthipan Siva; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Hyperspectral Image Denoising Using a Spatial-Spectral Monte Carlo Sampling Approach. - Linlin Xu; Fan Li 005; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Active learning for identifying marine oil spills using 10-year RADARSAT data. - Yongfeng Cao; Linlin Xu; David A. Clausi (IGARSS, 2016)

A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field. - Yuan Fang 003; Linlin Xu; Xiao Sun; Longshan Yang; Yujia Chen 002; Junhuan Peng (IGARSS, 2016)

Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model. - Xiao Sun; Linlin Xu; Longshan Yang; Yujia Chen 002; Yuan Fang 003; Junhuan Peng (IGARSS, 2016)

Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint. - Longshan Yang; Linlin Xu; Xiao Sun; Yuan Fang 003; Yujia Chen 002; Junhuan Peng (IGARSS, 2016)

Surface approximation via sparse representation and parameterization optimization. - Linlin Xu; Ruimin Wang; Zhouwang Yang; Jiansong Deng; Falai Chen; Ligang Liu 001 (Comput. Aided Des., 2016)

On the Security of a Chaotic Maps-based Three-party Authenticated Key Agreement Protocol. - Chien-Ming Chen 001; Linlin Xu; Tsu-Yang Wu; Ci-Rong Li (J. Netw. Intell., 2016)

Fully Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-Spot Detection In SAR Imagery. - Linlin Xu; Mohammad Javad Shafiee; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model. - Linlin Xu; Alexander Wong; Fan Li 005; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study. - Lei Wang 038; Katharine Andrea Scott; Linlin Xu; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2016)

Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction. - Linlin Xu; Alexander Wong; Fan Li 005; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2016)

Real-time road traffic awareness model based on optimal multi-channel self-organized time division multiple access algorithm. - Qing Hu 001; Linlin Xu (Comput. Electr. Eng., 2017)

An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery With Sea Ice and Oil Spills. - Linlin Xu; Alexander Wong; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2017)

Exploring the Potential of Active Learning for Automatic Identification of Marine Oil Spills Using 10-Year (2004-2013) RADARSAT Data. - Yongfeng Cao; Linlin Xu; David A. Clausi (Remote. Sens., 2017)

Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty. - Linlin Xu; David A. Clausi; Fan Li 005; Alexander Wong (IEEE Trans. Geosci. Remote. Sens., 2017)

A Novel Bayesian Spatial-Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery. - Linlin Xu; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2017)

The Influence of Obstacle Blockage on 5G Millimeter Wave Communication. - Linlin Xu; Dianwu Yue (CSPS (1), 2018)

Performance Specifications of Filtered Multitone Modulation for the Roll-off Factor and Filter Order in the Maritime VHF Data Exchange System. - Qing Hu 001; Xiaoyue Jing; Linlin Xu; Jianlin Huang; Zhi Sun (SmartIoT, 2018)

A quasi-Monte Carlo implementation of the ziggurat method. - Nguyet Nguyen; Linlin Xu; Giray Ökten (Monte Carlo Methods Appl., 2018)

A CORS-Based Differential Correction Approach for AIS Mobile Stations. - Qing Hu 001; Linlin Xu; Xinyu Cheng (Sensors, 2018)

Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field. - Yuan Fang 003; Linlin Xu; Junhuan Peng; Honglei Yang; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast. - Weikai Tan; Jonathan Li 001; Linlin Xu; Michael A. Chapman (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation. - Fan Li 005; David A. Clausi; Linlin Xu; Alexander Wong (IEEE Trans. Geosci. Remote. Sens., 2018)

The Downscaling of the SMOS Global Sea Surface Salinity Product Based on MODIS Data Using a Deep Convolution Network Approach. - Qixin Liu; Linlin Xu; Zhiwen Zhang (ICAIP, 2019)

Multispectral Images Pan-Sharpening Based on Atrous Convolution Network and Deep Residual Network. - Tiantian Wang; Longshan Yang; Linlin Xu (ICAIP, 2019)

Automatic Classification of Glaciers from Sentinel-2 Imagery Using A Novel Deep Learning Model. - Shuai Yan; Linlin Xu; Rui Wu (ICAIP, 2019)

The identification of Impervious Area from Sentinel-2 Imagery Using A Novel Spectral Spatial Residual Convolution Neural Network. - Zhiwen Zhang; Linlin Xu; Qixin Liu (ICAIP, 2019)

Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery. - Yuan Fang 003; Zhongzheng Hu; Linlin Xu; Alexander Wong; David A. Clausi (WHISPERS, 2019)

A Bayesian Joint Decorrelation and Despeckling of SAR Imagery. - Caifeng Wang; Linlin Xu; David A. Clausi; Alexander Wong (IEEE Geosci. Remote. Sens. Lett., 2019)

Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data. - Mohsen Ghanbari; David A. Clausi; Linlin Xu; Mingzhe Jiang (IEEE Trans. Geosci. Remote. Sens., 2019)

Lung lesions detection from CT images based on the modified Faster R-CNN. - Linlin Xu; Xuemin Mao; Minmin Sun; Wentao Liu; Yifan Wang; Yuyang Tang (CITS, 2020)

Quantization in Relative Gradient Angle Domain For Building Polygon Estimation. - Yuhao Chen 001; Yifan Wu 004; Linlin Xu; Alexander Wong (ICPR, 2020)

Unsupervised Segmentation of Multilook Compact Polarimetric Sar Data based on Complex Wishart Distribution. - Mohsen Ghanbari; David A. Clausi; Linlin Xu; Mingzhe Jiang (IGARSS, 2020)

Recalibrating Sentinel-1 Additive Noise-Gain with Linear Programming. - Peter Q. Lee; Linlin Xu; David A. Clausi (IGARSS, 2020)

A Multi-Scale Technique to Detect Marginal Ice Zones Using Convolutional Neural Networks. - Anmol Sharan Nagi; Manpreet Singh Minhas; Linlin Xu; Katharine Andrea Scott (IGARSS, 2020)

Quality Analysis of the VIIRS LAI/FPAR Time-Series. - Jiabin Pu; Kai Yan 001; Yiman Zhang; Linlin Xu (IGARSS, 2020)

Evolution of Defect in AlGaN-based Deep Ultraviolet Light Emitting Diodes During Electrical Stress. - Yingzhe Wang; Xuefeng Zheng; Jiaduo Zhu; Shengrui Xu; Xiaohua Ma 001; Jincheng Zhang; Yue Hao 001; Linlin Xu; Jiangnan Dai; Peixian Li (IRPS, 2020)

Risk Level Determination of Science and Technology Service Supply Chain with PA-BP Integrated Model. - Jinhua Sun; Linlin Xu; Xiang Guo (SPIoT (2), 2020)

A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period. - Jingxin Yu; Song Tang; Lili Zhangzhong; Wengang Zheng; Long Wang 015; Alexander Wong; Linlin Xu (IEEE Access, 2020)

A PSO-XGBoost Model for Estimating Daily Reference Evapotranspiration in the Solar Greenhouse. - Jingxin Yu; Wengang Zheng; Linlin Xu; Lili Zhangzhong; Geng Zhang; Feifei Shan (Intell. Autom. Soft Comput., 2020)

Combined Nonlocal Spatial Information and Spatial Group Sparsity in NMF for Hyperspectral Unmixing. - Longshan Yang; Junhuan Peng; Huiwei Su; Linlin Xu; Yuebin Wang; Bowen Yu (IEEE Geosci. Remote. Sens. Lett., 2020)

Performance Specifications for the Roll-Off Factor and Filter Order for Filtered Multitone Modulation in the Maritime VHF Data Exchange System. - Qing Hu 001; Xiaoyue Jing; Jianlin Huang; Linlin Xu (Mob. Networks Appl., 2020)

Evaluation of the MODIS LAI/FPAR Algorithm Based on 3D-RTM Simulations: A Case Study of Grassland. - Jiabin Pu; Kai Yan 001; Guohuan Zhou; Yongqiao Lei; Yingxin Zhu; Donghou Guo; Hanliang Li; Linlin Xu; Yuri Knyazikhin; Ranga B. Myneni (Remote. Sens., 2020)

Vegetation-Ice-Bare Land Cover Conversion in the Oceanic Glacial Region of Tibet Based on Multiple Machine Learning Classifications. - Fangfang Yang; Yanxu Liu; Linlin Xu; Kui Li; Panpan Hu; Jixing Chen (Remote. Sens., 2020)

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval. - Yun Cao; Yuebin Wang; Junhuan Peng; Liqiang Zhang 001; Linlin Xu; Kai Yan 001; Lihua Li (IEEE Trans. Geosci. Remote. Sens., 2020)

Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising. - Longshan Yang; Linlin Xu; Junhuan Peng; Yongze Song; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2020)

Study of an Evaluation Model for AIS Receiver Sensitivity Measurements. - Qing Hu 001; Jingyun Cao; Gemengyue Gao; Linlin Xu; Meng'en Song (IEEE Trans. Instrum. Meas., 2020)

The Impact of Data Volume on Performance of Depp Learning Based Building Rooftop Extraction Using Very High Spatial Resolution Aerial Images. - Hongjie He; Ke Yang; Yuwei Cai; Zijian Jiang; Qiutong Yu; Kun Zhao; Junbo Wang; Sarah Narges Fatholahi; Yan Liu 043; Hasti Andon Petrosians; Bingxu Hu; Liyuan Qing; et al. (IGARSS, 2021)

Glacier classification from Sentinel-2 imagery using spatial-spectral attention convolutional model. - Shuai Yan; Linlin Xu; Guojiang Yu; Longshan Yang; Wenju Yun; Dehai Zhu; Sijing Ye; Xiaochuang Yao (Int. J. Appl. Earth Obs. Geoinformation, 2021)

A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images. - Hongjie He; Ke Yang; Yuwei Cai; Zijian Jiang; Qiutong Yu; Kun Zhao; Junbo Wang; Sarah Narges Fatholahi; Yan Liu 043; Hasti Andon Petrosians; Bingxu Hu; Liyuan Qing; et al. (CoRR, 2021)

Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field. - Yujia Chen 002; Linlin Xu; Yuan Fang 003; Junhuan Peng; Wenfu Yang; Alexander Wong; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2021)

Novel Model-Based Approaches for Non-Homogenous Atmospheric Compensation of GB-InSAR in the Azimuth and Horizontal Directions. - Jie Liu; Honglei Yang; Linlin Xu; Tao Li 025 (Remote. Sens., 2021)

CP-IRGS: A Region-Based Segmentation of Multilook Complex Compact Polarimetric SAR Data. - Mohsen Ghanbari; David A. Clausi; Linlin Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Depthwise Separable Fully Convolutional ResNet With ConvCRF for Semisupervised Hyperspectral Image Classification. - Yuxian Wang; Kui Li; Linlin Xu; Qian Wei; Fang Wang; Ye Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Design of Xinjiang Disaster Early Warning Cloud Platform Based on Big Data Technology. - Yunfei Zhang; Junjie Guo; Bin Wang; Linlin Xu (CAIBDA, 2022)

Semi-Supervised Sea Ice Classification of SAR Imagery Based on Graph Convolutional Network. - Mingzhe Jiang; Xinwei Chen; Linlin Xu; David A. Clausi (IGARSS, 2022)

Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset. - Kyle Gao; Hongjie He; Dening Lu; Linlin Xu; Lingfei Ma; Jonathan Li 001 (IEEE Access, 2022)

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification. - Dening Lu; Qian Xie 001; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

Transformers in 3D Point Clouds: A Survey. - Dening Lu; Qian Xie 001; Mingqiang Wei; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

3DPCT: 3D Point Cloud Transformer with Dual Self-attention. - Dening Lu; Kyle Gao; Qian Xie 001; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review. - Kyle Gao; Yina Gao; Hongjie He; Dening Lu; Linlin Xu; Jonathan Li 001 (CoRR, 2022)

Depthwise Separable ResNet in the MAP Framework for Hyperspectral Image Classification. - Kui Li; Zhiguo Ma; Linlin Xu; Ye Chen; Yiyi Ma; Wei Wu; Fang Wang; Zihao Liu (IEEE Geosci. Remote. Sens. Lett., 2022)

TAL: Topography-Aware Multi-Resolution Fusion Learning for Enhanced Building Footprint Extraction. - Yifan Wu 004; Linlin Xu; Yuhao Chen 001; Alexander Wong; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2022)

Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models. - Yuan Fang 003; Linlin Xu; Alexander Wong; David A. Clausi (Remote. Sens., 2022)

Sea Ice-Water Classification of RADARSAT-2 Imagery Based on Residual Neural Networks (ResNet) with Regional Pooling. - Mingzhe Jiang; Linlin Xu; David A. Clausi (Remote. Sens., 2022)

Monitoring and Stability Analysis of the Deformation in the Woda Landslide Area in Tibet, China by the DS-InSAR Method. - Youfeng Liu; Honglei Yang; Shizheng Wang; Linlin Xu; Junhuan Peng (Remote. Sens., 2022)

A Spatial-Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images. - Yuxian Wang; Yuan Fang 003; Wenlong Zhong; Rongming Zhuo; Junhuan Peng; Linlin Xu (Remote. Sens., 2022)

Bayesian Subpixel Mapping of Hyperspectral Imagery via Discrete Endmember Variability Mixture Model and Markov Random Field. - Yujia Chen 002; Rongming Zhuo; Linlin Xu; Junhuan Peng; Xiaoman Qi; Zhaoxu Zhang; Zhongzheng Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation. - Yuan Fang 003; Linlin Xu; Yuhao Chen 001; Wei Zhou 021; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features. - Mingzhe Jiang; David A. Clausi; Linlin Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Semisupervised Hyperspectral Image Classification via Superpixel-Based Graph Regularization With Local and Nonlocal Features. - Longshan Yang; Junhuan Peng; Yuebin Wang; Linlin Xu; Weiwei Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing. - Yuan Fang 003; Yuxian Wang; Linlin Xu; Rongming Zhuo; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2022)

Estimating Noise Floor in Sentinel-1 Images With Linear Programming and Least Squares. - Peter Q. Lee; Linlin Xu; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2022)

3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification. - Dening Lu; Qian Xie 001; Kyle Gao; Linlin Xu; Jonathan Li 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Evaluating the Hydrus-1D Model Optimized by Remote Sensing Data for Soil Moisture Simulations in the Maize Root Zone. - Jingxin Yu; Yong Wu; Linlin Xu; Junhuan Peng; Guangfeng Chen; Xin Shen; Renping Lan; Chunjiang Zhao 001; Lili Zhangzhong (Remote. Sens., 2022)

Weighted Sum Power Minimization in UAV Empowered Cell-Free Massive MIMO Systems. - Linlin Xu; Qi Zhu 003; Wenchao Xia; Tony Q. S. Quek; Hongbo Zhu 002 (GLOBECOM (Workshops), 2023)

Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. - Jun Zhou 007; Kai Chen 028; Linlin Xu; Qi Dou 001; Jing Qin 001 (ICCV, 2023)

Electric Vehicle Wireless Power Transfer System Active and Passive Magnetic Shielding Design. - Xinlei Shang; Linlin Xu; Quanyi Yu; Bo Li; Yangyun Wu; Tianhao Wang 009 (ICISCAE, 2023)

Incidence Angle Dependence of Texture Features From Dual Polarization Radarsat-2 Sea Ice Imagery. - Fernando J. Pena Cantu; Xinwei Chen; Linlin Xu; Max Ian A. Manning; Katharine Andrea Scott; David A. Clausi (IGARSS, 2023)

The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery. - Muhammed Patel; Xinwei Chen; Linlin Xu; Fernando J. Pena Cantu; Javier Noa Turnes; Neil C. Brubacher; David A. Clausi; Katharine Andrea Scott (IGARSS, 2023)

Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification. - Linlin Xu; Yuan Fang 003; Xinwei Chen; David A. Clausi (IGARSS, 2023)

Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline. - Xinwei Chen; Katharine Andrea Scott; Mingzhe Jiang; Yuan Fang 003; Linlin Xu; David A. Clausi (WACV (Workshops), 2023)

Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery. - Yuan Fang 003; Alexander De Souza; Linlin Xu; Xinwei Chen; David A. Clausi (WHISPERS, 2023)

Dynamic Clustering Transformer Network for Point Cloud Segmentation. - Dening Lu; Jun Zhou; Kyle Yilin Gao; Dilong Li; Jing Du 007; Linlin Xu; Jonathan Li 001 (CoRR, 2023)

Calibration of Uncertainty in Sea Ice Concentration Retrieval With an Auxiliary Prediction Interval Estimator. - Xinwei Chen; Ray Valencia; Armina Soleymani; Linlin Xu; Katharine Andrea Scott (IEEE Geosci. Remote. Sens. Lett., 2023)

Multi-Task Edge Detection for Building Vectorization From Aerial Images. - Yifan Wu 004; Linlin Xu; Lei Wang 038; Qi Chen 012; Yuhao Chen 001; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2023)

Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data. - Mohsen Ghanbari; Linlin Xu; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Spatial-Spectral ConvNeXt for Hyperspectral Image Classification. - Yimin Zhu; Kexin Yuan; Wenlong Zhong; Linlin Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery. - Xinwei Chen; Katharine Andrea Scott; Linlin Xu; Mingzhe Jiang; Yuan Fang 003; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2023)

Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images. - Yuan Fang 003; Yuxian Wang; Linlin Xu; Yujia Chen 002; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2023)

Efficiency Optimization of Wireless Power Transfer System for Electric Vehicle Based on Improved Marine Predators Algorithm. - Quanyi Yu; Jun Lin 003; Xilai Ma; Bo Li; Linlin Xu; Tianhao Wang 009 (IEEE Trans. Intell. Transp. Syst., 2023)

Structure-texture image decomposition via non-convex total generalized variation and convolutional sparse coding. - Chunxue Wang; Linlin Xu; Ligang Liu (Vis. Comput., 2023)

Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual Information. - Saeid Taleghanidoozdoozan; Linlin Xu; David A. Clausi (Remote. Sens., 2023)

A Spatial-Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis. - Yuxian Wang; Rongming Zhuo; Linlin Xu; Yuan Fang 003 (Remote. Sens., 2023)

How Much You Ate? Food Portion Estimation on Spoons. - Aaryam Sharma; Chris Czarnecki; Yuhao Chen 001; Pengcheng Xi; Linlin Xu; Alexander Wong (CVPR Workshops, 2024)

Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations. - Xinwei Chen; Muhammed Patel; Linlin Xu; Katharine Andrea Scott; David A. Clausi; Weimin Huang 001 (IGARSS, 2024)

Risk Assessment Method of Power Communication Network Based on Gray Cloud Theory and Matter-Element Extension Model Coupling. - Xiaojuan Chen; Linlin Xu; Xue Li 030; Li Cong (IEEE Access, 2024)

A comparative study of data input selection for deep learning-based automated sea ice mapping. - Xinwei Chen; Fernando J. Pena Cantu; Muhammed Patel; Linlin Xu; Neil C. Brubacher; Katharine Andrea Scott; David A. Clausi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Dynamic clustering transformer network for point cloud segmentation. - Dening Lu; Jun Zhou; Kyle Yilin Gao; Jing Du 007; Linlin Xu; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information. - Gaoxiang Zhou; Ming Liu; Linlin Xu; Liangzhi Li 002 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Wildfire Risk Prediction: A Review. - Zhengsen Xu; Jonathan Li 001; Linlin Xu (CoRR, 2024)

In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls. - Akil Pathiranage; Chris Czarnecki; Yuhao Chen 001; Pengcheng Xi; Linlin Xu; Alexander Wong (CoRR, 2024)

Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types. - Muhammed Patel; Xinwei Chen; Linlin Xu; Yuhao Chen 001; Katharine Andrea Scott; David A. Clausi (CoRR, 2024)

Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery. - Kyle Gao; Dening Lu; Hongjie He; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation. - Dening Lu; Jun Zhou; Kyle Gao; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

Efficient Point Transformer with Dynamic Token Aggregating for Point Cloud Processing. - Dening Lu; Jun Zhou; Kyle Gao; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery. - Willow Liu; Shuxin Qiao; Kyle Gao; Hongjie He; Michael A. Chapman; Linlin Xu; Jonathan Li 001 (CoRR, 2024)

Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. - Dening Lu; Shimon Schwartz; Linlin Xu; Mohammad Javad Shafiee; Norman G. Vinson; Krzysztof J. Czarnecki; Alexander Wong (Expert Syst. Appl., 2024)

DBARCT: Road Extraction Based on Double-Branch Architecture and Random Block Coding Transformer. - Ziyi Chen 001; Yucai Chen; Lujuan Gao; Dilong Li; Linlin Xu; Jonathan Li 001; Cheng Wang 003; Yewang Chen (IEEE Geosci. Remote. Sens. Lett., 2024)

Weakly Supervised Learning for Pixel-Level Sea Ice Concentration Extraction Using AI4Arctic Sea Ice Challenge Dataset. - Xinwei Chen; Muhammed Patel; Linlin Xu; Yuhao Chen 001; Katharine Andrea Scott; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2024)

3DGTN: 3-D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation. - Dening Lu; Kyle Gao; Qian Xie 001; Linlin Xu; Jonathan Li 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Air-Ground Collaborative Resource Optimization in UAV Empowered Cell-Free Massive MIMO Systems. - Linlin Xu; Qi Zhu 003; Wenchao Xia; Tony Q. S. Quek; Hongbo Zhu 002 (IEEE Trans. Commun., 2024)

IceGCN: An Interactive Sea Ice Classification Pipeline for SAR Imagery Based on Graph Convolutional Network. - Mingzhe Jiang; Xinwei Chen; Linlin Xu; David A. Clausi (Remote. Sens., 2024)

Instructor-Worker large language model system for policy recommendation: A case study on air quality analysis of the January 2025 Los Angeles wildfires. - Kyle Gao; Dening Lu; Liangzhi Li 002; Nan Chen; Hongjie He; Jing Du 007; Linlin Xu; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

RTCNet: A novel real-time triple branch network for pavement crack semantic segmentation. - Bin Liu; Jian Kang; Haiyan Guan; Xiaodong Zhi; Yongtao Yu; Lingfei Ma; Daifeng Peng; Linlin Xu; Dongchuan Wang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

3D-UMamba: 3D U-Net with state space model for semantic segmentation of multi-source LiDAR point clouds. - Dening Lu; Linlin Xu; Jun Zhou; Kyle Gao; Zheng Gong; Dedong Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

3DLST: 3D Learnable Supertoken Transformer for LiDAR point cloud scene segmentation. - Dening Lu; Linlin Xu; Jun Zhou; Kyle (yilin) Gao; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

A dual deep learning approach for winter temperature prediction in solar greenhouses in Northern China. - Jingxin Yu; Jinpeng Zhao; Congcong Sun 001; Ruochen Zhang; Wengang Zheng; Linlin Xu; Xiaoming Wei (Comput. Electron. Agric., 2025)

MFGC-Net: Bridging and Fusing Multiscale Features and Global Contexts for Multitask Sea Ice Fine Segmentation. - Tianen Ma; Xinwei Chen; Linlin Xu; Pengfei Ma; Peilin Yu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

ITT: Long-Range Spatial Dependencies for Sea Ice Semantic Segmentation. - Javier Noa Turnes; Mingzhe Jiang; Saeid Taleghanidoozdoozan; Linlin Xu; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

SECBNet: Semantic Segmentation-Enhanced Color Balance Network for Optical Satellite Images. - Ziyi Chen 001; Hanhuang Chen; Lujuan Gao; Dilong Li; Cheng Wang 003; Linlin Xu; Somayeh Mollaee; Jonathan Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification From AI4Arctic Sea Ice Challenge Dataset. - Xinwei Chen; Muhammed Patel; Linlin Xu; Yuhao Chen 001; Katharine Andrea Scott; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2025)

Enhanced 3-D Urban Scene Reconstruction and Point Cloud Densification Using Gaussian Splatting and Google Earth Imagery. - Kyle Gao; Dening Lu; Hongjie He; Linlin Xu; Jonathan Li 001; Zheng Gong (IEEE Trans. Geosci. Remote. Sens., 2025)

Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification. - Yimin Zhu; Linlin Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting. - Kyle Gao; Liangzhi Li 002; Hongjie He; Dening Lu; Linlin Xu; Jonathan Li 001 (CoRR, 2025)

Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform. - Kyle Gao; Dening Lu; Liangzhi Li 002; Nan Chen; Hongjie He; Linlin Xu; Jonathan Li 001 (CoRR, 2025)

Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model. - Yimin Zhu; Linlin Xu (CoRR, 2025)

Instructor-Worker Large Language Model System for Policy Recommendation: a Case Study on Air Quality Analysis of the January 2025 Los Angeles Wildfires. - Kyle Gao; Dening Lu; Liangzhi Li 002; Nan Chen; Hongjie He; Linlin Xu; Jonathan Li 001 (CoRR, 2025)

Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data. - Yihang Zhou; Ruige Kong; Zhengsen Xu; Linlin Xu; Sibo Cheng (CoRR, 2025)

OpenWildlife: Open-Vocabulary Multi-Species Wildlife Detector for Geographically-Diverse Aerial Imagery. - Muhammed Patel; Javier Noa Turnes; Jayden Hsiao; Linlin Xu; David A. Clausi (CoRR, 2025)