Weiming Huang

According to our database, Weiming Huang authored at least 53 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Urban region representation learning <i>via</i> dual spatial contrasts.

Quan Qin, Tinghua Ai, Weiming Huang, Shishuo Xu, Mingyi Du, Songnian Li

Int. J. Geogr. Inf. Sci., July, 2026

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective.

Yuyao Wang, Min Yang, Meng Chen, Weiming Huang, Yongshun Gong

CoRR, April, 2026

UrbanMFM: Spatial Graph-Based Multiscale Foundation Models for Learning Generalized Urban Representation.

Zhaoqi Zhang, Miao Xie, Pasquale Balsebre, Weiming Huang, Siqiang Luo, Gao Cong

IEEE Trans. Knowl. Data Eng., March, 2026

Region Embedding With Adaptive Correlation Discovery for Predicting Urban Socioeconomic Indicators.

Meng Chen, Hongwei Jia, Zechen Li, Weiming Huang, Kai Zhao, Yongshun Gong, Haoran Xu, Hongjun Dai

IEEE Trans. Knowl. Data Eng., February, 2026

Fine-grained urban land use simulation: Integrating spatial dynamic modeling with a pre-trained vision-language model.

Zipan Cai, Andrew Karvonen, Cong Cong, Weiming Huang

Comput. Environ. Urban Syst., 2026

Beyond Routines: Adaptive Mobility Prediction via Sequential-Relational Fusion.

Tianao Sun, Ruizhe Liu, Wenzhen Jia, Kai Zhao, Weiming Huang, Meng Chen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Multi-View Urban Region Embedding via Commonality-Specificity Disentanglement.

Zechen Li, Hongwei Jia, Kai Zhao, Weiming Huang, Meng Chen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism.

Qiang Wang, Zhihang Yu, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Zhiqiang Zou, Weiming Huang, Christophe Claramunt

Int. J. Digit. Earth, December, 2025

GeoFM: how will geo-foundation models reshape spatial data science and GeoAI?

Krzysztof Janowicz, Gengchen Mai, Weiming Huang, Rui Zhu, Ni Lao, Ling Cai

Int. J. Geogr. Inf. Sci., September, 2025

Self-supervised representation learning for geospatial objects: A survey.

Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong

Inf. Fusion, 2025

Learning dual context aware POI representations for geographic mapping.

Quan Qin, Tinghua Ai, Shishuo Xu, Yan Zhang, Weiming Huang, Mingyi Du, Songnian Li

Int. J. Appl. Earth Obs. Geoinformation, 2025

Reconciling Geospatial Prediction and Retrieval via Sparse Representations.

Yi Li, Yuanlong Chen, Weiming Huang, Xiaoli Li, Gao Cong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SILO: Semantic Integration for Location Prediction with Large Language Models.

Tianao Sun, Meng Chen, Bowen Zhang, Genan Dai, Weiming Huang, Kai Zhao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Cross-City Latent Space Alignment for Consistency Region Embedding.

Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, Kai Zhao, Hongjun Dai, Weiming Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places.

Xinglei Wang, Tao Cheng, Stephen Law, Zichao Zeng, Ilya Ilyankou, Junyuan Liu, Lu Yin, Weiming Huang, Natchapon Jongwiriyanurak

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

Zero-shot urban function inference with street view images through prompting a pretrained vision-language model.

Weiming Huang, Jing Wang, Gao Cong

Int. J. Geogr. Inf. Sci., July, 2024

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper).

Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

ACM Trans. Spatial Algorithms Syst., June, 2024

Learning visual features from figure-ground maps for urban morphology discovery.

Jing Wang, Weiming Huang, Filip Biljecki

Comput. Environ. Urban Syst., 2024

Self-supervised Learning for Geospatial AI: A Survey.

Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong

CoRR, 2024

LAMP: A Language Model on the Map.

Pasquale Balsebre, Weiming Huang, Gao Cong

CoRR, 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, Longshan Yang, Chao Zhang, Bingbo Gao, Jianyu Yang, Wenju Yun, Dehai Zhu

Comput. Electron. Agric., 2024

Road Network Representation Learning with the Third Law of Geography.

Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity.

Tianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology.

Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names.

Dabin Zhang, Meng Chen, Weiming Huang, Yongshun Gong, Kai Zhao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences.

Hongwei Jia, Meng Chen, Weiming Huang, Kai Zhao, Yongshun Gong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

City Foundation Models for Learning General Purpose Representations from OpenStreetMap.

Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Urban Region Embedding via Multi-View Contrastive Prediction.

Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs.

Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie

ACM Trans. Intell. Syst. Technol., December, 2023

A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation.

Huafei Yu, Tinghua Ai, Min Yang, Weiming Huang, Lars Harrie

Int. J. Digit. Earth, December, 2023

Unsupervised land-use change detection using multi-temporal POI embedding.

Yao Yao, Qia Zhu, Zijin Guo, Weiming Huang, Yatao Zhang, Xiaoqin Yan, Anning Dong, Zhangwei Jiang, Hong Liu, Qingfeng Guan

Int. J. Geogr. Inf. Sci., November, 2023

Uncovering the association between traffic crashes and street-level built-environment features using street view images.

Sheng Hu, Hanfa Xing, Wei Luo, Liang Wu, Yongyang Xu, Weiming Huang, Wenkai Liu, Tianqi Li

Int. J. Geogr. Inf. Sci., November, 2023

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.

Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts.

Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie

IEEE Trans. Knowl. Data Eng., September, 2023

Mining Geospatial Relationships from Text.

Pasquale Balsebre, Dezhong Yao, Gao Cong, Weiming Huang, Zhen Hai

Proc. ACM Manag. Data, 2023

CityFM: City Foundation Models to Solve Urban Challenges.

Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li

CoRR, 2023

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.

Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

CoRR, 2023

Urban Region Representation Learning with OpenStreetMap Building Footprints.

Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information.

Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Origin-Aware Location Prediction Based on Historical Vehicle Trajectories.

Meng Chen, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, Xiaohui Yu

ACM Trans. Intell. Syst. Technol., 2022

Estimating urban functional distributions with semantics preserved POI embedding.

Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao

Int. J. Geogr. Inf. Sci., 2022

A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups.

Zilin Wang, Lizhen Cui, Wei Guo, Lei Zhao, Xin Yuan, Xiaosong Gu, Weizhong Tang, Lingguo Bu, Weiming Huang

Adv. Eng. Informatics, 2022

Similarity-Aware Collaborative Learning for Patient Outcome Prediction.

Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Narrative Cartography with Knowledge Graphs.

Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao

CoRR, 2021

2020

Geospatial data and knowledge on the Web: Knowledge-based geospatial data integration and visualisation with Semantic Web technologies.

Weiming Huang

PhD thesis, 2020

Towards knowledge-based geovisualisation using Semantic Web technologies: a knowledge representation approach coupling ontologies and rules.

Weiming Huang, Lars Harrie

Int. J. Digit. Earth, 2020

Towards Knowledge-Based Geospatial Data Integration and Visualization: A Case of Visualizing Urban Bicycling Suitability.

Weiming Huang, Khashayar Kazemzadeh, Ali Mansourian, Lars Harrie

IEEE Access, 2020

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, Chuan Xu, Kaiqiang An

IEEE Geosci. Remote. Sens. Lett., 2019

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure.

Weiming Huang, Syed Amir Raza, Oleg Mirzov, Lars Harrie

ISPRS Int. J. Geo Inf., 2019

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, Chuan Xu, Kaimin Sun

Remote. Sens., 2018

Synchronising geometric representations for map mashups using relative positioning and Linked Data.

Weiming Huang, Ali Mansourian, Ehsan Abdolmajidi, Haiqi Xu, Lars Harrie

Int. J. Geogr. Inf. Sci., 2018

Towards Knowledge-Based Integration and Visualization of Geospatial Data using Semantic Web Technologies.

Weiming Huang

Proceedings of the Doctoral Consortium and Challenge @ RuleML+RR 2018 hosted by 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018), 2018

2017

Geospatial Data Integration and Visualisation Using Linked Data.

Weiming Huang

Proceedings of the 4th AGILE PhD School, Leeds, UK, October 30 - November 02, 2017., 2017