A shape analysis and template matching of building features by the Fourier transform method. - Tinghua Ai; Xiaoqiang Cheng; Pengcheng Liu 002; Min Yang 006 (Comput. Environ. Urban Syst., 2013)

A vector field model to handle the displacement of multiple conflicts in building generalization. - Tinghua Ai; Xiang Zhang 010; Qi Zhou; Min Yang 006 (Int. J. Geogr. Inf. Sci., 2015)

Envelope generation and simplification of polylines using Delaunay triangulation. - Tinghua Ai; Shu Ke; Min Yang 006; Jingzhong Li (Int. J. Geogr. Inf. Sci., 2017)

A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data. - Lina Huang; Tinghua Ai; Peter van Oosterom; Xiongfeng Yan; Min Yang 006 (ISPRS Int. J. Geo Inf., 2017)

Continuous Scale Transformations of Linear Features Using Simulated Annealing-Based Morphing. - Jingzhong Li; Tinghua Ai; Pengcheng Liu 002; Min Yang 006 (ISPRS Int. J. Geo Inf., 2017)

Potential Change of Spatial Accessibility to Health Services With the Opening of Private Streets in Shenzhen, China. - Wenhao Yu 001; Tinghua Ai; Jingzhong Li; Min Yang 006; Yun Shuai (IEEE Access, 2018)

Updating authoritative spatial data from timely sources: A multiple representation approach. - Xiang Zhang 010; Weijun Yin; Min Yang 006; Tinghua Ai; Jantien E. Stoter (Int. J. Appl. Earth Obs. Geoinformation, 2018)

A map-algebra-based method for automatic change detection and spatial data updating across multiple scales. - Min Yang 006; Tinghua Ai; Xiongfeng Yan; Yuanyuan Chen; Xiang Zhang 010 (Trans. GIS, 2018)

Shape Decision-Making in Map-Like Visualization Design Using the Simulated Annealing Algorithm. - Tinghua Ai; Rui Xin 001; Xiongfeng Yan; Min Yang 006; Bo Ai 002 (IEEE Access, 2019)

Extracting Centerlines From Dual-Line Roads Using Superpixel Segmentation. - Yilang Shen; Tinghua Ai; Min Yang 006 (IEEE Access, 2019)

Scalable Distributed kNN Processing on Clustered Data Streams. - Min Yang 006; Yixuan Zuo; Meng Chen 003; Xiaohui Yu 001 (IEEE Access, 2019)

A polygon aggregation method with global feature preservation using superpixel segmentation. - Yilang Shen; Tinghua Ai; Wende Li; Min Yang 006; Yu Feng 006 (Comput. Environ. Urban Syst., 2019)

A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization. - Yi Xiao; Tinghua Ai; Min Yang 006; Xiang Zhang 010 (ISPRS Int. J. Geo Inf., 2020)

An efficient index structure for distributed k-nearest neighbours query processing. - Min Yang 006; Kun Ma 001; Xiaohui Yu 001 (Soft Comput., 2020)

Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps. - Xiongfeng Yan; Tinghua Ai; Min Yang 006; Xiaohua Tong (Int. J. Geogr. Inf. Sci., 2021)

A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data. - Rui Xin 001; Tinghua Ai; Ruoxin Zhu; Bo Ai 002; Min Yang 006; Liqiu Meng (ISPRS Int. J. Geo Inf., 2021)

Building Typification in Map Generalization Using Affinity Propagation Clustering. - Xiongfeng Yan; Huan Chen; Haoran Huang; Qian Liu; Min Yang 006 (ISPRS Int. J. Geo Inf., 2021)

Classifying urban functional regions by integrating buildings and points-of-interest using a stacking ensemble method. - Min Yang 006; Bo Kong; Ruirong Dang; Xiongfeng Yan (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A recognition method for drainage patterns using a graph convolutional network. - Huafei Yu; Tinghua Ai; Min Yang 006; Lina Huang; Jiaming Yuan (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Detecting interchanges in road networks using a graph convolutional network approach. - Min Yang 006; Chenjun Jiang; Xiongfeng Yan; Tinghua Ai; Minjun Cao; Wenyuan Chen (Int. J. Geogr. Inf. Sci., 2022)

A hybrid approach to building simplification with an evaluator from a backpropagation neural network. - Min Yang 006; Tuo Yuan; Xiongfeng Yan; Tinghua Ai; Chenjun Jiang (Int. J. Geogr. Inf. Sci., 2022)

A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects. - Xiongfeng Yan; Min Yang 006 (ISPRS Int. J. Geo Inf., 2022)

A Stacking Ensemble Learning Method to Classify the Patterns of Complex Road Junctions. - Min Yang 006; Lingya Cheng; Minjun Cao; Xiongfeng Yan (ISPRS Int. J. Geo Inf., 2022)

Pattern Recognition and Segmentation of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor. - Min Yang 006; Haoran Huang; Yiqi Zhang; Xiongfeng Yan (ISPRS Int. J. Geo Inf., 2022)

A Long Short-Term Memory-Based Approach for Detecting Turns and Generating Road Intersections from Vehicle Trajectories. - Zijian Wan; Lianying Li; Huafei Yu; Min Yang 006 (Sensors, 2022)

Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network. - Huafei Yu; Tinghua Ai; Min Yang 006; Lina Huang; Aji Gao (Expert Syst. Appl., 2023)

A hexagon-based method for polygon generalization using morphological operators. - Lu Wang 021; Tinghua Ai; Dirk Burghardt; Yilang Shen; Min Yang 006 (Int. J. Geogr. Inf. Sci., 2023)

Geospatial Network Analysis and Origin-Destination Clustering of Bike-Sharing Activities during the COVID-19 Pandemic. - Rui Xin 001; Linfang Ding; Bo Ai 002; Min Yang 006; Ruoxin Zhu; Bin Cao; Liqiu Meng (ISPRS Int. J. Geo Inf., 2023)

Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. - Junxiang Bing; Meng Chen 003; Min Yang 006; Weiming Huang 001; Yongshun Gong; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

Integrating domain knowledge and graph convolutional neural networks to support river network selection. - Huafei Yu; Tinghua Ai; Min Yang 006; Jingzhong Li; Lu Wang 021; Aji Gao; Tianyuan Xiao; Zhe Zhou (Trans. GIS, 2023)

A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation. - Huafei Yu; Tinghua Ai; Min Yang 006; Weiming Huang 001; Lars Harrie (Int. J. Digit. Earth, 2023)

Urban Region Embedding via Multi-View Contrastive Prediction. - Zechen Li 003; Weiming Huang 001; Kai Zhao; Min Yang 006; Yongshun Gong; Meng Chen 003 (AAAI, 2024)

Classifying the Shapes of Buildings by Combining Distance Field Enhancement and a Convolution Neural Network. - Xinyan Zou; Min Yang 006; Siyu Li; Hai Hu (ISPRS Int. J. Geo Inf., 2024)

Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective. - Xin Chen; Shaofei Feng; Min Yang 006; Kai Zhao; Ronghui Xu 001; Chaoran Cui; Meng Chen 003 (Knowl. Based Syst., 2024)

A graph-based neural network approach to integrate multi-source data for urban building function classification. - Bo Kong; Tinghua Ai; Xinyan Zou; Xiongfeng Yan; Min Yang 006 (Comput. Environ. Urban Syst., 2024)

Classification of urban interchange patterns using a model combining shape context descriptor and graph convolutional neural network. - Min Yang 006; Minjun Cao; Lingya Cheng; Huiping Jiang; Tinghua Ai; Xiongfeng Yan (Geo spatial Inf. Sci., 2024)

A SegNet-Based Approach for Road Label Placement Integrating Geometric and Textual Information. - Huafei Yu; Tinghua Ai; Min Yang 006; Rachid Oucheikh; Bo Kong; Hao Wu; Zhenyu Zhang; Lars Harrie (Trans. GIS, 2025)

MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding. - Meng Chen 003; Zechen Li 003; Hongwei Jia; Xin Shao; Jun Zhao; Qiang Gao; Min Yang 006; Yilong Yin (ACM Trans. Intell. Syst. Technol., 2025)

Integrating morphological knowledge of contour data and graph neural network for landform type recognition. - Bo Kong; Tinghua Ai; Min Yang 006; Hao Wu; Xiongfeng Yan; YongQuan Wang; Huafei Yu (Int. J. Geogr. Inf. Sci., 2025)

A POI selection method based on GCN considering annotation conflicts during map scale transformation. - Pengcheng Liu 002; Hao Han; Min Yang 006; Shuo Zhang (Int. J. Geogr. Inf. Sci., 2025)

STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference. - Min Yang 006; Xiaoyu Li; Bin Xu; Xiushan Nie; Muming Zhao; Chengqi Zhang; Yu Zheng 004; Yongshun Gong (IEEE Trans. Knowl. Data Eng., 2025)