Generation of constrained network Voronoi diagram using linear tessellation and expansion method. - Tinghua Ai; Wenhao Yu 001; Yakun He (Comput. Environ. Urban Syst., 2015)

Spatial co-location pattern mining for location-based services in road networks. - Wenhao Yu 001 (Expert Syst. Appl., 2016)

A linear tessellation model to identify spatial pattern in urban street networks. - Yakun He; Tinghua Ai; Wenhao Yu 001; Xiang Zhang 010 (Int. J. Geogr. Inf. Sci., 2017)

Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects. - Wenhao Yu 001; Tinghua Ai; Yakun He; Shiwei Shao (Int. J. Geogr. Inf. Sci., 2017)

The analysis and measurement of building patterns using texton co-occurrence matrices. - Wenhao Yu 001; Tinghua Ai; Pengcheng Liu 002; Xiaoqiang Cheng (Int. J. Geogr. Inf. Sci., 2017)

Identifying and Analyzing the Prevalent Regions of a Co-Location Pattern Using Polygons Clustering Approach. - Wenhao Yu 001 (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)

A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references. - Xiaojing Yao; Liujia Chen; Congcong Wen; Ling Peng; Liang Yang; Tianhe Chi; Xiaomeng Wang; Wenhao Yu 001 (Int. J. Geogr. Inf. Sci., 2018)

Quality assessment in point feature generalization with pattern preserved. - Wenhao Yu 001 (Trans. GIS, 2018)

Automated Generalization of Facility Points-of-Interest With Service Area Delimitation. - Wenhao Yu 001; Yifan Zhang 009; Zhanlong Chen (IEEE Access, 2019)

A mathematical morphology based method for hierarchical clustering analysis of spatial points on street networks. - Wenhao Yu 001 (Appl. Soft Comput., 2019)

Integrating Spatial and Non-Spatial Dimensions to Measure Urban Fire Service Access. - Zelong Xia; Hao Li 055; Yuehong Chen; Wenhao Yu 001 (ISPRS Int. J. Geo Inf., 2019)

Discovering Frequent Movement Paths From Taxi Trajectory Data Using Spatially Embedded Networks and Association Rules. - Wenhao Yu 001 (IEEE Trans. Intell. Transp. Syst., 2019)

An integrated graph Laplacian downsample (IGLD)-based method for DEM generalization. - Zhanlong Chen; Xiaochuan Ma; Wenhao Yu 001; Liang Wu 005 (Earth Sci. Informatics, 2020)

Road network generalization considering traffic flow patterns. - Wenhao Yu 001; Yifan Zhang 009; Tinghua Ai; Qingfeng Guan 001; Zhanlong Chen; Haixia Li (Int. J. Geogr. Inf. Sci., 2020)

Exploring point zero: a study of 20 Chinese cities. - Qi Zhou 003; Mingjian Zhai; Wenhao Yu 001 (Geo spatial Inf. Sci., 2020)

Measuring the similarity of building patterns using Graph Fourier transform. - Zhanlong Chen; Xiaochuan Ma; Wenhao Yu 001; Liang Wu 005; Zhong Xie (Earth Sci. Informatics, 2021)

Fire stations siting with multiple objectives and geospatial big data. - Wenhao Yu 001; Menglin Guan; Yujie Chen (Earth Sci. Informatics, 2021)

An integrated method for DEM simplification with terrain structural features and smooth morphology preserved. - Wenhao Yu 001; Yifan Zhang 009; Tinghua Ai; Zhanlong Chen (Int. J. Geogr. Inf. Sci., 2021)

A hierarchical learning model for inferring the labels of points of interest with unbalanced data distribution. - Wenhao Yu 001; Jiaxin Chen; Cheng Wei (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A deep encoder-decoder network for anomaly detection in driving trajectory behavior under spatio-temporal context. - Wenhao Yu 001; Qinghong Huang (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Filling gaps of cartographic polylines by using an encoder-decoder model. - Wenhao Yu 001; Yujie Chen (Int. J. Geogr. Inf. Sci., 2022)

Sparse reconstruction with spatial structures to automatically determine neighbors. - Wenhao Yu 001; Yifan Zhang 009; Zhanlong Chen; Tinghua Ai (Int. J. Geogr. Inf. Sci., 2022)

Comparison of DEM Super-Resolution Methods Based on Interpolation and Neural Networks. - Yifan Zhang 009; Wenhao Yu 001 (Sensors, 2022)

Data-driven polyline simplification using a stacked autoencoder-based deep neural network. - Wenhao Yu 001; Yujie Chen (Trans. GIS, 2022)

Accessibility analysis of urban fire stations within communities: a fine-scale perspective. - Wenhao Yu 001; Yaya Huang; Yujie Chen; Zelong Xia (J. Geogr. Syst., 2022)

GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT. - Yifan Zhang 009; Cheng Wei; Shangyou Wu; Zhengting He; Wenhao Yu 001 (CoRR, 2023)

Ensembled masked graph autoencoders for link anomaly detection in a road network considering spatiotemporal features. - Wenhao Yu 001; Mengqiu Huang; Shangyou Wu; Yifan Zhang 009 (Inf. Sci., 2023)

MmgFra: A multiscale multigraph learning framework for traffic prediction in smart cities. - Wenhao Yu 001; Shangyou Wu; Mengqiu Huang (Earth Sci. Informatics, 2023)

Graph based embedding learning of trajectory data for transportation mode recognition by fusing sequence and dependency relations. - Wenhao Yu 001; Guanwen Wang (Int. J. Geogr. Inf. Sci., 2023)

GeoGPT: An assistant for understanding and processing geospatial tasks. - Yifan Zhang 009; Cheng Wei; Zhengting He; Wenhao Yu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene. - Wenbo Zhang; Yifan Zhang 009; Jianfeng Lin 004; Binqiang Huang; Jinlu Zhang; Wenhao Yu 001 (CoRR, 2024)

TFCounter: Polishing Gems for Training-Free Object Counting. - Pan Ting; Jianfeng Lin 004; Wenhao Yu 001; Wenlong Zhang; Xiaoying Chen; Jinlu Zhang; Binqiang Huang (CoRR, 2024)

Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. - Shaohua Wang; Xing Xie 001; Yong Li 008; Danhuai Guo; Zhi Cai; Yu Liu 070; Yang Yue 001; Xiao Pan; Feng Lu 004; Huayi Wu; Zhipeng Gui; Zhiming Ding; et al. (CoRR, 2024)

BB-GeoGPT: A framework for learning a large language model for geographic information science. - Yifan Zhang 009; Zhiyun Wang; Zhengting He; Jingxuan Li; Gengchen Mai; Jianfeng Lin 004; Cheng Wei; Wenhao Yu 001 (Inf. Process. Manag., 2024)

Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders. - Wenbo Zhang; Yifan Zhang 009; Yuyang Deng; Wenlong Zhang; Jianfeng Lin 004; Binqiang Huang; Jinlu Zhang; Wenhao Yu 001 (Pattern Recognit., 2024)

Multimodal learning with only image data: A deep unsupervised model for street view image retrieval by fusing visual and scene text features of images. - Shangyou Wu; Wenhao Yu 001; Yifan Zhang 009; Mengqiu Huang (Trans. GIS, 2024)

Next track point prediction using a flexible strategy of subgraph learning on road networks. - Yifan Zhang 009; Wenhao Yu 001; Di Zhu 004 (Int. J. Geogr. Inf. Sci., 2024)

Geospatial large language model trained with a simulated environment for generating tool-use chains autonomously. - Yifan Zhang 009; Jingxuan Li; Zhiyun Wang; Zhengting He; Qingfeng Guan 001; Jianfeng Lin 004; Wenhao Yu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

A training-free framework for valid object counting by cascading spatial and semantic understanding of foundation models. - Qinghong Huang; Yifan Zhang 009; Wenbo Zhang; Jianfeng Lin 004; Binqiang Huang; Jinlu Zhang; Wenhao Yu 001 (Inf. Sci., 2025)

DC-CLIP: Multilingual CLIP Compression via vision-language distillation and vision-language alignment. - Wenbo Zhang; Yifan Zhang 009; Jianfeng Lin 004; Binqiang Huang; Jinlu Zhang; Wenhao Yu 001 (Pattern Recognit., 2025)

Focus on Hard Areas of Reconstruction: A Fine-Grained Urban Flow Inference Framework. - Yifan Zhang 009; Wenhao Yu 001; Xinru Zhao; Zhengting He; Wenlong Zhang; Jianfeng Lin 004 (Trans. GIS, 2025)

A spatial dependency based reinforcement learning model for selecting features in spatial classification. - Cheng Wei; Wenhao Yu 001 (GeoInformatica, 2025)

Masked Graph Autoencoder for Self-Supervised Transportation Mode Recognition. - Ziyi Zeng; Guanwen Wang; Yifan Zhang 009; Qingfeng Guan 001; Wenhao Yu 001 (Trans. GIS, 2025)

GeoTool-GPT: a trainable method for facilitating Large Language Models to master GIS tools. - Cheng Wei; Yifan Zhang 009; Xinru Zhao; Ziyi Zeng; Zhiyun Wang; Jianfeng Lin 004; Qingfeng Guan 001; Wenhao Yu 001 (Int. J. Geogr. Inf. Sci., 2025)

MST-GNN: graph neural network with multi-granularity in space and time for traffic prediction. - Xinru Zhao; Wenhao Yu 001; Yifan Zhang 009 (GeoInformatica, 2025)

MapReader: a framework for learning a visual language model for map analysis. - Yifan Zhang 009; Wenbo Zhang; Ziyi Zeng; Keying Jiang; Jingxuan Li; Wen Min; Wei Luo; Qingfeng Guan 001; Jianfeng Lin 004; Wenhao Yu 001 (Int. J. Geogr. Inf. Sci., 2025)