Geospatial Data Integration and Visualisation Using Linked Data. - Weiming Huang 001 (AGILE PhD School, 2017)

Towards Knowledge-Based Integration and Visualization of Geospatial Data using Semantic Web Technologies. - Weiming Huang 001 (RuleML+RR (Supplement), 2018)

Synchronising geometric representations for map mashups using relative positioning and Linked Data. - Weiming Huang 001; Ali Mansourian; Ehsan Abdolmajidi; Haiqi Xu; Lars Harrie (Int. J. Geogr. Inf. Sci., 2018)

A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses. - Wenqing Feng; Haigang Sui; Jihui Tu; Weiming Huang 001; Chuan Xu; Kaimin Sun (Remote. Sens., 2018)

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure. - Weiming Huang 001; Syed Amir Raza; Oleg Mirzov; Lars Harrie (ISPRS Int. J. Geo Inf., 2019)

Water Body Extraction From Very High-Resolution Remote Sensing Imagery Using Deep U-Net and a Superpixel-Based Conditional Random Field Model. - Wenqing Feng; Haigang Sui; Weiming Huang 001; Chuan Xu; Kaiqiang An (IEEE Geosci. Remote. Sens. Lett., 2019)

Towards Knowledge-Based Geospatial Data Integration and Visualization: A Case of Visualizing Urban Bicycling Suitability. - Weiming Huang 001; Khashayar Kazemzadeh; Ali Mansourian; Lars Harrie (IEEE Access, 2020)

Towards knowledge-based geovisualisation using Semantic Web technologies: a knowledge representation approach coupling ontologies and rules. - Weiming Huang 001; Lars Harrie (Int. J. Digit. Earth, 2020)

Geospatial data and knowledge on the Web: Knowledge-based geospatial data integration and visualisation with Semantic Web technologies. - Weiming Huang 001 (2020)

Narrative Cartography with Knowledge Graphs. - Gengchen Mai; Weiming Huang 001; Ling Cai; Rui Zhu 008; Ni Lao (CoRR, 2021)

Similarity-Aware Collaborative Learning for Patient Outcome Prediction. - Fuqiang Yu; Lizhen Cui; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu (DASFAA (2), 2022)

A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups. - Zilin Wang; Lizhen Cui; Wei Guo 017; Lei Zhao; Xin Yuan; Xiaosong Gu; Weizhong Tang; Lingguo Bu; Weiming Huang 001 (Adv. Eng. Informatics, 2022)

Estimating urban functional distributions with semantics preserved POI embedding. - Weiming Huang 001; Lizhen Cui; Meng Chen 003; Daokun Zhang; Yao Yao 004 (Int. J. Geogr. Inf. Sci., 2022)

Origin-Aware Location Prediction Based on Historical Vehicle Trajectories. - Meng Chen 003; Qingjie Liu; Weiming Huang 001; Teng Zhang; Yixuan Zuo; Xiaohui Yu 001 (ACM Trans. Intell. Syst. Technol., 2022)

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. - Dabin Zhang; Ronghui Xu 001; Weiming Huang 001; Kai Zhao; Meng Chen 003 (IJCAI, 2023)

Urban Region Representation Learning with OpenStreetMap Building Footprints. - Yi Li 044; Weiming Huang 001; Gao Cong; Hao Wang 068; Zheng Wang 046 (KDD, 2023)

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. - Gengchen Mai; Weiming Huang 001; Jin Sun 011; Suhang Song; Deepak Mishra 005; Ninghao Liu; Song Gao 001; Tianming Liu 001; Gao Cong; Yingjie Hu; Chris Cundy; Ziyuan Li; et al. (CoRR, 2023)

CityFM: City Foundation Models to Solve Urban Challenges. - Pasquale Balsebre; Weiming Huang 001; Gao Cong; Yi Li 044 (CoRR, 2023)

Mining Geospatial Relationships from Text. - Pasquale Balsebre; Dezhong Yao 002; Gao Cong; Weiming Huang 001; Zhen Hai (Proc. ACM Manag. Data, 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)

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. - Fuqiang Yu; Lizhen Cui; Huanhuan Chen; Yiming Cao; Ning Liu 014; Weiming Huang 001; Yonghui Xu; Hua Lu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Uncovering the association between traffic crashes and street-level built-environment features using street view images. - Sheng Hu 001; Hanfa Xing; Wei Luo; Liang Wu 005; Yongyang Xu; Weiming Huang 001; Wenkai Liu; Tianqi Li (Int. J. Geogr. Inf. Sci., 2023)

Unsupervised land-use change detection using multi-temporal POI embedding. - Yao Yao 004; Qia Zhu; Zijin Guo; Weiming Huang 001; Yatao Zhang; Xiaoqin Yan; Anning Dong; Zhangwei Jiang; Hong Liu; Qingfeng Guan 001 (Int. J. Geogr. Inf. Sci., 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)

A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. - Ronghui Xu 001; Weiming Huang 001; Jun Zhao; Meng Chen 003; Liqiang Nie (ACM Trans. Intell. Syst. Technol., 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)

City Foundation Models for Learning General Purpose Representations from OpenStreetMap. - Pasquale Balsebre; Weiming Huang 001; Gao Cong; Yi Li 044 (CIKM, 2024)

Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences. - Hongwei Jia; Meng Chen 003; Weiming Huang 001; Kai Zhao; Yongshun Gong (IJCAI, 2024)

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names. - Dabin Zhang; Meng Chen 003; Weiming Huang 001; Yongshun Gong; Kai Zhao (IJCAI, 2024)

Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. - Meng Chen 003; Zechen Li 003; Weiming Huang 001; Yongshun Gong; Yilong Yin (KDD, 2024)

Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity. - Tianao Sun; Ke Fu; Weiming Huang 001; Kai Zhao; Yongshun Gong; Meng Chen 003 (KDD, 2024)

Road Network Representation Learning with the Third Law of Geography. - Haicang Zhou; Weiming Huang 001; Yile Chen 001; Tiantian He 001; Gao Cong; Yew Soon Ong (NeurIPS, 2024)

TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series. - Shuai Yan; Xiaochuang Yao; Jialin Sun; Weiming Huang 001; Longshan Yang; Chao Zhang 081; Bingbo Gao; Jianyu Yang 005; Wenju Yun; Dehai Zhu (Comput. Electron. Agric., 2024)

LAMP: A Language Model on the Map. - Pasquale Balsebre; Weiming Huang 001; Gao Cong (CoRR, 2024)

Self-supervised Learning for Geospatial AI: A Survey. - Yile Chen 001; Weiming Huang 001; Kaiqi Zhao 001; Yue Jiang 005; Gao Cong (CoRR, 2024)

Learning visual features from figure-ground maps for urban morphology discovery. - Jing Wang 225; Weiming Huang 001; Filip Biljecki (Comput. Environ. Urban Syst., 2024)

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). - Gengchen Mai; Weiming Huang 001; Jin Sun 011; Suhang Song; Deepak Mishra 005; Ninghao Liu; Song Gao 001; Tianming Liu 001; Gao Cong; Yingjie Hu; Chris Cundy; Ziyuan Li; et al. (ACM Trans. Spatial Algorithms Syst., 2024)

Zero-shot urban function inference with street view images through prompting a pretrained vision-language model. - Weiming Huang 001; Jing Wang 225; Gao Cong (Int. J. Geogr. Inf. Sci., 2024)

Learning dual context aware POI representations for geographic mapping. - Quan Qin; Tinghua Ai; Shishuo Xu; Yan Zhang 078; Weiming Huang 001; Mingyi Du; Songnian Li (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Self-supervised representation learning for geospatial objects: A survey. - Yile Chen 001; Weiming Huang 001; Kaiqi Zhao 001; Yue Jiang 005; Gao Cong (Inf. Fusion, 2025)

GeoFM: how will geo-foundation models reshape spatial data science and GeoAI? - Krzysztof Janowicz; Gengchen Mai; Weiming Huang 001; Rui Zhu 008; Ni Lao; Ling Cai (Int. J. Geogr. Inf. Sci., 2025)