PC
Publications
- Assessing personal exposure to COVID-19 transmission in public indoor spaces based on fine-grained trajectory data: A simulation study
- Location Scheme of Routine Nucleic Acid Testing Sites Based on Location-Allocation Models: A Case Study of Shenzhen City
- A Reference-Free Method for the Thematic Accuracy Estimation of Global Land Cover Products Based on the Triple Collocation Approach
- A Graph Convolutional Stacked Bidirectional Unidirectional-LSTM Neural Network for Metro Ridership Prediction
- Novel model for predicting individuals’ movements in dynamic regions of interest
- Measuring the Spatial Relationship Information of Multi-Layered Vector Data
- A quantitative investigation of the uncertainty associated with mapping scale in the production of land-cover/land-use data
- Reference-Free Measurement of the Classification Reliability of Vector-Based Land Cover Mapping
- STLP-GSM: a method to predict future locations of individuals based on geotagged social media data
- Quantifying the Spatial Integration Patterns of Urban Agglomerations along an Inter-City Gradient
- Category-Sensitive Domain Adaptation for Land Cover Mapping in Aerial Scenes
- An adaptive approach for modelling the movement uncertainty in trajectory data based on the concept of error ellipses
- Exploring Travel Patterns during the Holiday Season—A Case Study of Shenzhen Metro System During the Chinese Spring Festival
- Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion
- Riding towards a sustainable future: an evaluation of bike sharing’s environmental benefits in Xiamen Island, China
- GrIS-MDM: A Hydrology Knowledge-Based Framework Combining Deep Learning Network for Moulin Detection Using Ultrahigh-Resolution UAV Imagery
- Investigating the Serviceability of Urban Green Spaces from a Spatial Perspective: A Comparative Study Across 368 Cities on the Chinese Mainland
- From sky to ground: Monitoring visible street greenery via multisource remote sensing imagery with deep learning
- The cost-balanced accessibility (CBA) model: a new framework for measuring urban accessibility with multi-objective considerations