Publications

Quantifying Uncertainty in Spatial Prediction for Nonstationary Spatial Processes

The Cartographer as Auditor: From Invisible Uncertainty to Reliable Spatial Knowledge

★GeoXCP: uncertainty quantification of spatial explanations in explainable AI

Quantifying the Spatiotemporal Predictability of Dengue via Temporal and Spatial Lags

Navigating Hierarchies in Hyperbolic Space: A Knowledge-Driven Graph Network for Semantic Segmentation of Remote Sensing Imagery

Urban motifs associated with population health

Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics

Mathematical Foundations and Challenges for GeoAI

Buildings as Text: A Universal Regression Paradigm for Building Attribute Prediction

Weighted Bayesian Conformal Prediction

Real-time multi-depot urban logistics optimization in megacities via transformer-based deep reinforcement learning

★Focal-Feature Regression Kriging

An infographic framework of GeoAI ethics based on news data

Measuring univariate effects in the interaction of geographical patterns

Uncovering spatial process heterogeneity from graph-based deep spatial regression

A Robust Geographically Optimal Zones-based heterogeneity model for analyzing the spatial determinants of national traffic accidents

Uncertainty-aware geospatial visual analytics

Modeling shared e-micromobility as a label propagation process for detecting overlapping communities

Towards the Uncertainty-aware Geospatial Artificial Intelligence

Species habitat modeling based on image semantic segmentation

GeoEvolve: Automating Geospatial Model Discovery via Multi-Agent Large Language Models

★GeoConformal Prediction: A Model-Agnostic Framework for Measuring the Uncertainty of Spatial Prediction

Evaluation and Spatial Optimization Model of Urban Medical Resource Distribution Considering Equity and Efficiency

A unified ontological and explainable framework for decoding AI risks from news data

Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network

Modeling hydrous mineral distribution on Mars with extremely sparse data: A multi-scale spatial association modeling framework

An explainable spatial interpolation method considering spatial stratified heterogeneity

Understanding of the predictability and uncertainty in population distributions empowered by visual analytics

Spatial Stratified Modeling

Explainable Mapping of the Irregular Land Use Parcel With a Data Fusion Deep-Learning Model

Geographical Scenario Knowledge-Informed Graph Structure Attention for Image Segmentation

Predicting the locations of missing persons in China by using NGO data and deep learning techniques

Automated external defibrillator location selection considering myocardial infarction risk and medical resources

Pervasive impact of spatial dependence on predictability

A spatio-temporal unmixing with heterogeneity model for the identification of remotely sensed MODIS aerosols: Exemplified by the case of Africa

Generalized spatial association modeling driven by the nature of geospatial data

GIMI: A Geographical Generalizable Image-to-Image Search Engine with Location-explicit Contrastive Embedding

A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis

A hyper-knowledge graph system for research on AI ethics cases

Unveiling public perception of AI ethics: an exploration on Wikipedia data

Uncover the nature of overlapping community in cities

A locally explained heterogeneity model for examining wetland disparity

Extracting the pickpocketing information implied in the built environment by treating it as the anomalies

Towards resilience effectiveness: Assessing its patterns and determinants to identify optimal geographic zones

A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data

Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism

Revisiting the role of distance for spatial prediction

The Potential of VGI and Traffic Flow Generation Model for Solving the Traffic Sensor Location Problem

A comparison of spatial prediction methods

Explainable spatial heterogeneity model for association analysis

Geocomplexity explains spatial errors

Fast optimization for large scale logistics in complex urban systems using the hybrid sparrow search algorithm

A generalized heterogeneity model for spatial interpolation

Elucidation of spatial disparities of factors that affect air pollutant concentrations in industrial regions at a continental level

Sensing overlapping geospatial communities from human movements using graph affiliation generation models

EARTH OBSERVATION FOR LAND COVER AND HUMAN-ENVIRONMENT INTERACTIONS

Early Detection of Suspicious Behaviors for Safe Residence from Movement Trajectory Data

An unsupervised approach for semantic place annotation of trajectories based on the prior probability

Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model

Classifying land-use patterns by integrating time-series electricity data and high-spatial resolution remote sensing imagery

RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference

A spatial second-order non-stationary interpolation method for large area mapping

Spatial disparities in trade-offs: economic and environmental impacts of road infrastructure on continental level

UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level

Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake

Random Forest Model for the Estimation of Fractional Vegetation Coverage Based on a UAV-Ground Co-Sampling Strategy

Modeling Population Density Using a New Index Derived from Multi-Sensor Image Data

Gridded population density estimation based on multi-source remote sensing data and POI data