A method for the retrieval of aerosol optical thickness on CBERS data from top-of-atmosphere radiance. - Xin Zhang 033; Xiang Zhao 004; Bing Li; Ni Hu; Qing Li 023; Suhong Liu (IGARSS, 2011)

The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products. - Xiang Zhao 004; Shunlin Liang; Suhong Liu; Wenping Yuan; Zhiqiang Xiao 002; Qiang Liu 009; Jie Cheng 001; Xiaotong Zhang 001; Hairong Tang; Xin Zhang 033; Qiang Liu 037; Gongqi Zhou; et al. (Remote. Sens., 2013)

Radioactive Quality Evaluation and Cross Validation of Data from the HJ-1A/B Satellites' CCD Sensors. - Xin Zhang 033; Xiang Zhao 004; Guodong Liu; Qian Kang; Donghai Wu (Sensors, 2013)

Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China. - Xin Zhang 033; Miao Zhang 002; Yang Zheng; Bingfang Wu (Remote. Sens., 2016)

Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100- and 300-m S1 Products. - Yang Zheng; Miao Zhang 002; Xin Zhang 033; Hongwei Zeng; Bingfang Wu (Remote. Sens., 2016)

Cloud Based Cropwatchglobal Remote Sensing Monitoring Online System. - Bingfang Wu; Miao Zhang 002; Nana Yan; Qiang Xing; Weiwei Zhu; Xin Zhang 033 (IGARSS, 2018)

Land use mapping in the Three Gorges Reservoir Area based on semantic segmentation deep learning method. - Xin Zhang 033; Bingfang Wu; Liang Zhu; Fuyou Tian; Miao Zhang 002; Yuan Zeng (CoRR, 2018)

Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images. - Xin Zhang 033; Bingfang Wu; Guillermo E. Ponce-Campos; Miao Zhang 002; Sheng Chang; Fuyou Tian (Remote. Sens., 2018)

Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform. - Fuyou Tian; Bingfang Wu; Hongwei Zeng; Xin Zhang 033; Jiaming Xu (Remote. Sens., 2019)

Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning. - Haoyu Wang; Xiang Zhao 004; Xin Zhang 033; Donghai Wu; Xiaozheng Du (Remote. Sens., 2019)

A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images. - Xin Zhang 033; Liangxiu Han; Yingying Dong; Yue Shi; Wenjiang Huang; Lianghao Han; Pablo González-Moreno; Huiqin Ma; Huichun Ye; Tam Sobeih (Remote. Sens., 2019)

Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks. - Ling Du; Gregory W. McCarty; Xin Zhang 033; Megan W. Lang; Melanie K. Vanderhoof; Xia Li; Chengquan Huang; Sangchul Lee; Zhenhua Zou (Remote. Sens., 2020)

How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? - Xin Zhang 033; Liangxiu Han; Lianghao Han; Liang Zhu (Remote. Sens., 2020)

A Gans-Based Deep Learning Framework for Automatic Subsurface Object Recognition From Ground Penetrating Radar Data. - Xin Zhang 033; Liangxiu Han; Mark Robinson; Anthony Gallagher (IEEE Access, 2021)

CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images. - Xin Zhang 033; Liangxiu Han; Tam Sobeih; Lianghao Han; Nina C. Dempsey-Hibbert; Symeon Lechareas; Ascanio Tridente; Haoming Chen; Stephen White (CoRR, 2021)

The channel-spatial attention-based vision transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery. - Xin Zhang 033; Liangxiu Han; Tam Sobeih; Lewis Lappin; Mark A. Lee; Andew Howard; Aron Kisdi (CoRR, 2021)

Land Use and Land Cover Mapping Using RapidEye Imagery Based on a Novel Band Attention Deep Learning Method in the Three Gorges Reservoir Area. - Xin Zhang 033; Ling Du; Shen Tan; Fangming Wu; Liang Zhu; Yuan Zeng; Bingfang Wu (Remote. Sens., 2021)

Developing Long Time Series 1-km Land Cover Maps From 5-km AVHRR Data Using a Super-Resolution Method. - Haoyu Wang; Xiang Zhao 004; Shunlin Liang; Donghai Wu; Xin Zhang 033; Qian Wang 049; Jiacheng Zhao; Xiaozheng Du; Qian Zhou (IEEE Trans. Geosci. Remote. Sens., 2021)

A Hybrid Parallelization Approach for Distributed and Scalable Deep Learning. - Samson B. Akintoye; Liangxiu Han; Xin Zhang 033; Haoming Chen; Daoqiang Zhang (IEEE Access, 2022)

Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning. - Samson B. Akintoye; Liangxiu Han; Huw Lloyd; Xin Zhang 033; Darren Dancey; Haoming Chen; Daoqiang Zhang (CoRR, 2022)

The Self-Supervised Spectral-Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery. - Xin Zhang 033; Liangxiu Han; Tam Sobeih; Lewis Lappin; Mark A. Lee; Andew Howard; Aron Kisdi (Remote. Sens., 2022)

A CNN-Based Self-Supervised Synthetic Aperture Radar Image Denoising Approach. - Shen Tan; Xin Zhang 033; Han Wang; Le Yu 001; Yanlei Du; Junjun Yin 001; Bingfang Wu (IEEE Trans. Geosci. Remote. Sens., 2022)

An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. - Xin Zhang 033; Liangxiu Han; Wenyong Zhu; Liang Sun 009; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2022)

sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. - Xin Zhang 033; Liangxiu Han; Lianghao Han; Haoming Chen; Darren Dancey; Daoqiang Zhang (IEEE Access, 2023)

sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. - Xin Zhang 033; Liangxiu Han; Lianghao Han; Haoming Chen; Darren Dancey; Daoqiang Zhang (CoRR, 2023)

Mapping Large-Scale Bamboo Forest Based on Phenology and Morphology Features. - Xueliang Feng; Shen Tan; Yun Dong; Xin Zhang 033; Jiaming Xu; Liheng Zhong; Le Yu 001 (Remote. Sens., 2023)

CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. - Xin Zhang 033; Liangxiu Han; Tam Sobeih; Lianghao Han; Nina Dempsey; Symeon Lechareas; Ascanio Tridente; Haoming Chen; Stephen White; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2023)

A Generic Self-Supervised Learning (SSL) Framework for Representation Learning from Spectral-Spatial Features of Unlabeled Remote Sensing Imagery. - Xin Zhang 033; Liangxiu Han (Remote. Sens., 2023)

ICPR 2024 Competition on Beyond Visible Spectrum: AI for Agriculture. - Liangxiu Han; Wenjiang Huang; Xin Zhang 033; Yingying Dong; Tam Sobeih; Yufan Lin (ICPR (34), 2024)

A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation. - Xin Zhang 033; Liangxiu Han; Tam Sobeih; Lianghao Han; Darren Dancey (CoRR, 2024)

Space-Frequency Fusion Dual-Branch Convolutional Neural Networks for Significant Wave Height Retrieval From GF-3 SAR Data. - Xuan Jin; Yawei Zhao; Xin Zhang 033; Yanlei Du; Jinsong Chong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges. - Yue Shi; Liangxiu Han; Xin Zhang 033; Tam Sobeih; Thomas Gaiser; Nguyen Huu Thuy; Dominik Behrend; Amit Kumar Srivastava; Krishnagopal Halder; Frank Ewert (CoRR, 2025)

HMSViT: A Hierarchical Masked Self-Supervised Vision Transformer for Corneal Nerve Segmentation and Diabetic Neuropathy Diagnosis. - Xin Zhang 033; Liangxiu Han; Yue Shi; Yanlin Zheng; Uazman Alam; Maryam Ferdousi; Rayaz A. Malik (CoRR, 2025)