An Object-Level Feature Representation Model for the Multi-target Retrieval of Remote Sensing Images. - Zhi Zeng; Zhenhong Du; Renyi Liu (J. Comput. Sci. Eng., 2014)

Spatio-temporal visualization of air-sea CO2 flux and carbon budget using volume rendering. - Zhenhong Du; Lei Fang; Yan Bai; Feng Zhang 009; Renyi Liu (Comput. Geosci., 2015)

Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. - Junjun Yin 002; Yizhao Gao 001; Zhenhong Du; Shaowen Wang 001 (ISPRS Int. J. Geo Inf., 2016)

Correction: Yin, J., et al. Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach. ISPRS International Journal of Geo-Information 2016, 5, 187. - Junjun Yin 002; Yizhao Gao 001; Zhenhong Du; Shaowen Wang 001 (ISPRS Int. J. Geo Inf., 2016)

Real-Time Spatial Queries for Moving Objects Using Storm Topology. - Feng Zhang 009; Ye Zheng; Dengping Xu; Zhenhong Du; Yingzhi Wang; Renyi Liu; Xinyue Ye (ISPRS Int. J. Geo Inf., 2016)

ParSymG: a parallel clustering approach for unsupervised classification of remotely sensed imagery. - Zhenhong Du; Yuhua Gu; Chuanrong Zhang; Feng Zhang 009; Renyi Liu; Jean Sequeira; Weidong Li 003 (Int. J. Digit. Earth, 2017)

Ecosystem health assessment in coastal waters by considering spatio-temporal variations with intense anthropogenic disturbance. - Feng Zhang 009; Xiaoxiao Sun; Yan Zhou; Congjiao Zhao; Zhenhong Du; Renyi Liu (Environ. Model. Softw., 2017)

An Effective High-Performance Multiway Spatial Join Algorithm with Spark. - Zhenhong Du; Xianwei Zhao; Xinyue Ye; Jingwei Zhou; Feng Zhang 009; Renyi Liu (ISPRS Int. J. Geo Inf., 2017)

Red tide time series forecasting by combining ARIMA and deep belief network. - Mengjiao Qin; Zhihang Li; Zhenhong Du (Knowl. Based Syst., 2017)

DBSTC: an effective method for discovering cluster features with different spatiotemporal densities. - Zhenhong Du; Yuhua Gu; Chuanrong Zhang; Feng Zhang 009; Renyi Liu; Jean Sequeira (Int. J. Digit. Earth, 2018)

Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seas. - Zhenhong Du; Sensen Wu; Feng Zhang 009; Renyi Liu; Yan Zhou (Ecol. Informatics, 2018)

A spatiotemporal regression-kriging model for space-time interpolation: a case study of chlorophyll-a prediction in the coastal areas of Zhejiang, China. - Zhenhong Du; Sensen Wu; Mei-Po Kwan; Chuanrong Zhang; Feng Zhang 009; Renyi Liu (Int. J. Geogr. Inf. Sci., 2018)

Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data. - Xiaoyi Zhang 004; Wenwen Li 002; Feng Zhang 009; Renyi Liu; Zhenhong Du (ISPRS Int. J. Geo Inf., 2018)

Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBase. - Hua Jiang; Junfeng Kang; Zhenhong Du; Feng Zhang 009; Xiangzhi Huang; Renyi Liu; Xuanting Zhang (Inf., 2018)

Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network. - Zhenhong Du; Mengjiao Qin; Feng Zhang 009; Renyi Liu (Knowl. Based Syst., 2018)

A tile service-driven architecture for online climate analysis with an application to estimation of ocean carbon flux. - Weiwen Ye; Feng Zhang 009; Yan Bai; Zhenhong Du; Renyi Liu (Environ. Model. Softw., 2019)

Spatial and temporal processes visualization for marine environmental data using particle system. - Feng Zhang 009; Ruichen Mao; Zhenhong Du; Renyi Liu (Comput. Geosci., 2019)

A matrix completion-based multiview learning method for imputing missing values in buoy monitoring data. - Mengjiao Qin; Zhenhong Du; Feng Zhang 009; Renyi Liu (Inf. Sci., 2019)

Geographically neural network weighted regression for the accurate estimation of spatial non-stationarity. - Zhenhong Du; Zhongyi Wang; Sensen Wu; Feng Zhang 009; Renyi Liu (Int. J. Geogr. Inf. Sci., 2020)

Where Urban Youth Work and Live: A Data-Driven Approach to Identify Urban Functional Areas at a Fine Scale. - Yiming Yan; Yuanyuan Wang; Zhenhong Du; Feng Zhang 009; Renyi Liu; Xinyue Ye (ISPRS Int. J. Geo Inf., 2020)

An Unsupervised Urban Extent Extraction Method from NPP-VIIRS Nighttime Light Data. - Xiuxiu Chen; Feng Zhang 009; Zhenhong Du; Renyi Liu (Remote. Sens., 2020)

Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method. - Mengjiao Qin; Linshu Hu; Zhenhong Du; Yi Gao; Lianjie Qin; Feng Zhang 009; Renyi Liu (Remote. Sens., 2020)

Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement. - Mengjiao Qin; Sébastien Mavromatis; Linshu Hu; Feng Zhang 009; Renyi Liu; Jean Sequeira; Zhenhong Du (Remote. Sens., 2020)

A Tile-Based Framework with a Spatial-Aware Feature for Easy Access and Efficient Analysis of Marine Remote Sensing Data. - Weiwen Ye; Feng Zhang 009; Xianqiang He; Yan Bai; Renyi Liu; Zhenhong Du (Remote. Sens., 2020)

EMMCNN: An ETPS-Based Multi-Scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover Classification. - Shuyu Zhang 002; Chuanrong Li; Shi Qiu 002; Caixia Gao; Feng Zhang 009; Zhenhong Du; Renyi Liu (Remote. Sens., 2020)

A multi-modal transportation data-driven approach to identify urban functional zones: An exploration based on Hangzhou City, China. - Zhenhong Du; Xiaoyi Zhang 004; Wenwen Li 002; Feng Zhang 009; Renyi Liu (Trans. GIS, 2020)

STME: An effective method for discovering spatiotemporal multi-type clusters containing events with different densities. - Chao Wang; Zhenhong Du; Yuhua Gu; Feng Zhang 009; Renyi Liu (Trans. GIS, 2020)

GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature. - Liuchang Xu; Zhenhong Du; Ruichen Mao; Feng Zhang 009; Renyi Liu (Comput. Environ. Urban Syst., 2020)

Simulating City Expansion Using a CA Urban Growth Model, Through a Case Study of Nairobi, Kenya. - Lingfei Shi; Feng Zhang 009; Zhenhong Du (IGARSS, 2021)

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. - Ling Chen 001; Jiahui Xu; Binqing Wu; Yuntao Qian; Zhenhong Du; Yansheng Li 001; Yongjun Zhang 002 (CoRR, 2021)

Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships. - Sensen Wu; Zhongyi Wang; Zhenhong Du; Bo Huang 001; Feng Zhang 009; Renyi Liu (Int. J. Geogr. Inf. Sci., 2021)

Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial-Temporal-Semantic Analysis Approach. - Yurong Chen; Feng Zhang 009; Xinba Li; Chuanrong Zhang; Ninghua Chen; Zhenhong Du; Renyi Liu; Bo Wang (ISPRS Int. J. Geo Inf., 2021)

Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland. - Jingtao Sun; Sensen Wu; Zhen Yan; Yadong Li; Cheng Yan; Feng Zhang 009; Renyi Liu; Zhenhong Du (ISPRS Int. J. Geo Inf., 2021)

Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation. - Weihao Xuan; Feng Zhang 009; Hongye Zhou; Zhenhong Du; Renyi Liu (ISPRS Int. J. Geo Inf., 2021)

Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression. - Yijun Chen; Sensen Wu; Yuanyuan Wang; Feng Zhang 009; Renyi Liu; Zhenhong Du (Remote. Sens., 2021)

Sea Surface Salinity Estimation and Spatial-Temporal Heterogeneity Analysis in the Gulf of Mexico. - Zhiyi Fu; Fangfang Wu; Zhengliang Zhang; Linshu Hu; Feng Zhang 009; Bifeng Hu; Zhenhong Du; Zhou Shi; Renyi Liu (Remote. Sens., 2021)

Automated Characterization of Yardangs Using Deep Convolutional Neural Networks. - Bowen Gao; Ninghua Chen; Thomas Blaschke; Chase Q. Wu; Jianyu Chen; Yaochen Xu; Xiaoping Yang; Zhenhong Du (Remote. Sens., 2021)

RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images. - Linshu Hu; Mengjiao Qin; Feng Zhang 009; Zhenhong Du; Renyi Liu (Remote. Sens., 2021)

Identifying Damaged Buildings in Aerial Images Using the Object Detection Method. - Lingfei Shi; Feng Zhang 009; Junshi Xia; Jibo Xie; Zhe Zhang 040; Zhenhong Du; Renyi Liu (Remote. Sens., 2021)

Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets. - Chuyi Wu; Feng Zhang 009; Junshi Xia; Yichen Xu; Guoqing Li; Jibo Xie; Zhenhong Du; Renyi Liu (Remote. Sens., 2021)

Multi-Task Collaboration Deep Learning Framework for Infrared Precipitation Estimation. - Xuying Yang; Peng Sun; Feng Zhang 009; Zhenhong Du; Renyi Liu (Remote. Sens., 2021)

Spatiotemporal assessments of nutrients and water quality in coastal areas using remote sensing and a spatiotemporal deep learning model. - Sensen Wu; Jin Qi; Zhen Yan; Fangzheng Lyu; Tao Lin; Yuanyuan Wang; Zhenhong Du (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A deep learning crop model for adaptive yield estimation in large areas. - Yilin Zhu; Sensen Wu; Mengjiao Qin; Zhiyi Fu; Yi Gao; Yuanyuan Wang; Zhenhong Du (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A spatio-temporal graph-guided convolutional LSTM for tropical cyclones precipitation nowcasting. - Xuying Yang; Feng Zhang 009; Peng Sun; Xiaofan Li; Zhenhong Du; Renyi Liu (Appl. Soft Comput., 2022)

Geographically convolutional neural network weighted regression: a method for modeling spatially non-stationary relationships based on a global spatial proximity grid. - Zhen Dai; Sensen Wu; Yuanyuan Wang; Hongye Zhou; Feng Zhang 009; Bo Huang 001; Zhenhong Du (Int. J. Geogr. Inf. Sci., 2022)

House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China. - Zimo Wang; Yicheng Wang; Sensen Wu; Zhenhong Du (ISPRS Int. J. Geo Inf., 2022)

A neural network framework for fine-grained tropical cyclone intensity prediction. - Zhe Zhang 040; Xuying Yang; Lingfei Shi; Bingbing Wang; Zhenhong Du; Feng Zhang 009; Renyi Liu (Knowl. Based Syst., 2022)

A neural network with spatiotemporal encoding module for tropical cyclone intensity estimation from infrared satellite image. - Zhe Zhang 040; Xuying Yang; Xin Wang; Bingbing Wang; Chao Wang; Zhenhong Du (Knowl. Based Syst., 2022)

Hyperspectral Image Classification with a Multiscale Fusion-Evolution Graph Convolutional Network Based on a Feature-Spatial Attention Mechanism. - Haoyu Jing; Yuanyuan Wang; Zhenhong Du; Feng Zhang 009 (Remote. Sens., 2022)

Machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data. - Weiwen Ye; Feng Zhang 009; Zhenhong Du (Remote. Sens., 2022)

A deep trajectory clustering method based on sequence-to-sequence autoencoder model. - Chao Wang; Fangzheng Lyu; Sensen Wu; Yuanyuan Wang; Liuchang Xu; Feng Zhang 009; Shaowen Wang 001; Yongheng Wang; Zhenhong Du (Trans. GIS, 2022)

Single-Image Super-Resolution for Remote Sensing Images Using a Deep Generative Adversarial Network With Local and Global Attention Mechanisms. - Yadong Li; Sébastien Mavromatis; Feng Zhang 009; Zhenhong Du; Jean Sequeira; Zhongyi Wang; Xianwei Zhao; Renyi Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

A Dynamic Pyramid Tilling Method for Traffic Data Stream Based on Flink. - Linshu Hu; Feng Zhang 009; Mengjiao Qin; Zhiyi Fu; Zhende Chen; Zhenhong Du; Renyi Liu (IEEE Trans. Intell. Transp. Syst., 2022)

A High-Resolution Land Surface Temperature Downscaling Method Based on Geographically Weighted Neural Network Regression. - Minggao Liang; Laifu Zhang; Sensen Wu; Yilin Zhu; Zhen Dai; Yuanyuan Wang; Jin Qi; Yijun Chen; Zhenhong Du (Remote. Sens., 2023)

A Graph Memory Neural Network for Sea Surface Temperature Prediction. - Shuchen Liang; Anming Zhao; Mengjiao Qin; Linshu Hu; Sensen Wu; Zhenhong Du; Renyi Liu (Remote. Sens., 2023)

High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing-Tianjin-Hebei Region Based on TROPOMI Data. - Chunhui Liu; Sensen Wu; Zhen Dai; Yuanyuan Wang; Zhenhong Du; Xingyu Liu; Chunxia Qiu (Remote. Sens., 2023)

Spatiotemporal weighted neural network reveals surface seawater pCO2 distributions and underlying environmental mechanisms in the North Pacific Ocean. - Yi Liu 093; Yijun Chen; Zihang Huang; Haoxuan Liang; Jin Qi; Sensen Wu; Zhenhong Du (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Enhancing mineral prospectivity mapping with geospatial artificial intelligence: A geographically neural network-weighted logistic regression approach. - Luoqi Wang; Jie Yang; Sensen Wu; Linshu Hu; Yunzhao Ge; Zhenhong Du (Int. J. Appl. Earth Obs. Geoinformation, 2024)

LOGCAN++: Local-global class-aware network for semantic segmentation of remote sensing images. - Xiaowen Ma; Rongrong Lian; Zhenkai Wu; Hongbo Guo; Mengting Ma; Sensen Wu; Zhenhong Du; Siyang Song; Wei Zhang 243 (CoRR, 2024)

Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis. - Luoqi Wang; Haipeng Li; Linshu Hu; Jiarui Cai; Zhenhong Du (CoRR, 2024)

Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study. - Liuchang Xu; Shuo Zhao; Qingming Lin; Luyao Chen; Qianqian Luo; Sensen Wu; Xinyue Ye; Hailin Feng; Zhenhong Du (CoRR, 2024)

ControlCity: A Multimodal Diffusion Model Based Approach for Accurate Geospatial Data Generation and Urban Morphology Analysis. - Fangshuo Zhou; Huaxia Li; Rui Hu; Sensen Wu; Hailin Feng; Zhenhong Du; Liuchang Xu (CoRR, 2024)

ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing. - Qingming Lin; Rui Hu; Huaxia Li; Sensen Wu; Yadong Li; Kai Fang 001; Hailin Feng; Zhenhong Du; Liuchang Xu (CoRR, 2024)

Arctic Sea Ice Concentration Prediction Using Spatial Attention Deep Learning. - Haoqi Gu; Lianchong Zhang; Mengjiao Qin; Sensen Wu; Zhenhong Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

ENSO Forecasts With Spatiotemporal Fusion Transformer Network. - Anming Zhao; Mengjiao Qin; Sensen Wu; Renyi Liu; Zhenhong Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Aggregative and Contrastive Dual-View Graph Attention Network for Hyperspectral Image Classification. - Haoyu Jing; Sensen Wu; Laifu Zhang; Fanen Meng; Tian Feng 001; Yiming Yan; Yuanyuan Wang; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2024)

A Conditional Diffusion Model With Fast Sampling Strategy for Remote Sensing Image Super-Resolution. - Fanen Meng; Yijun Chen; Haoyu Jing; Laifu Zhang; Yiming Yan; Yingchao Ren; Sensen Wu; Tian Feng 001; Renyi Liu; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2024)

Single Remote Sensing Image Super-Resolution via a Generative Adversarial Network With Stratified Dense Sampling and Chain Training. - Fanen Meng; Sensen Wu; Yadong Li; Zhe Zhang 040; Tian Feng 001; Renyi Liu; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2024)

Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation. - Shuting Shi; Baohong Li; Laifu Zhang; Kun Kuang; Sensen Wu; Tian Feng 001; Yiming Yan; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2024)

A Downscaling Framework for Urban Nighttime Light Based on Multifactor Geographically Neural Network Weighted Regression. - Laifu Zhang; Sensen Wu; Minggao Liang; Haoyu Jing; Shuting Shi; Yilin Zhu; Yang Ye; Sheng Huang; Fanen Meng; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2024)

GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images. - Yi Gao; Mengjiao Qin; Sensen Wu; Feng Zhang 009; Zhenhong Du (Remote. Sens., 2024)

GNNWR v0.1.11: A Python package for modeling spatial temporal non-stationary. - Ziyu Yin; Jiale Ding; Yi Liu 093; Ruoxu Wang; Yige Wang; Jin Qi; Yijun Chen; Sensen Wu; Zhenhong Du (Zenodo, 2024)

A neural network model to optimize the measure of spatial proximity in geographically weighted regression approach: a case study on house price in Wuhan. - Jiale Ding; Wenying Cen; Sensen Wu; Yijun Chen; Jin Qi; Bo Huang 001; Zhenhong Du (Int. J. Geogr. Inf. Sci., 2024)

Using PySpark to accelerate batch data point rotation for paleogeographic reconstruction. - Shuyan Xu; Linshu Hu; Haipeng Li; Mengjiao Qin; Sensen Wu; Zhenhong Du (Int. J. Digit. Earth, 2024)

A spatiotemporal autoregressive neural network interpolation method for discrete environmental factors. - Jin Qi; Wenting Lv; Junxia Zhu; Minyu Wang; Zhe Zhang 040; Guangyuan Zhang; Sensen Wu; Zhenhong Du (Environ. Model. Softw., 2025)

STeInFormer: Spatial-Temporal Interaction Transformer Architecture for Remote Sensing Change Detection. - Xiaowen Ma; Zhenkai Wu; Mengting Ma; Mengjiao Zhao; Fan Yang 100; Zhenhong Du; Wei Zhang 243 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Heterogeneous Contrastive Graph Fusion Network for Classification of Hyperspectral and LiDAR Data. - Haoyu Jing; Sensen Wu; Laifu Zhang; Fanen Meng; Yiming Yan; Yuanyuan Wang; Zhenhong Du (IEEE Trans. Geosci. Remote. Sens., 2025)

LOGCAN++: Adaptive Local-Global Class-Aware Network for Semantic Segmentation of Remote Sensing Images. - Xiaowen Ma; Rongrong Lian; Zhenkai Wu; Hongbo Guo; Fan Yang 100; Mengting Ma; Sensen Wu; Zhenhong Du; Wei Zhang 243; Siyang Song (IEEE Trans. Geosci. Remote. Sens., 2025)

Beyond extraction accuracy: addressing the quality of geographical named entity through advanced recognition and correction models using a modified BERT framework. - Liuchang Xu; Jiajun Zhang; Chengkun Zhang; Xinyu Zheng; Zhenhong Du; Xingyu Xue (Geo spatial Inf. Sci., 2025)

Using an attention-based architecture to incorporate context similarity into spatial non-stationarity estimation. - Sensen Wu; Jiale Ding; Ruoxu Wang; Yige Wang; Ziyu Yin; Bo Huang 001; Zhenhong Du (Int. J. Geogr. Inf. Sci., 2025)