Gengchen Mai

According to our database, Gengchen Mai authored at least 80 papers between 2015 and 2024.

Collaborative distances:

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

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

BB-GeoGPT: A framework for learning a large language model for geographic information science.

Yifan Zhang, Zhiyun Wang, Zhengting He, Jingxuan Li, Gengchen Mai, Jianfeng Lin, Cheng Wei, Wenhao Yu

Inf. Process. Manag., 2024

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.

Zhenyuan Yang, Xuhui Lin, Qinyi He, Ziye Huang, Zhengliang Liu, Hanqi Jiang, Peng Shu, Zihao Wu, Yiwei Li, Stephen Law, Gengchen Mai, Tianming Liu, Tao Yang

CoRR, 2024

Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN.

Hao Li, Fabian Deuser, Wenping Yina, Xuanshu Luo, Paul Walther, Gengchen Mai, Wei Huang, Martin Werner

CoRR, 2024

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning.

Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai

CoRR, 2024

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction.

Yan Luo, Zhuoyue Wan, Yuzhong Chen, Gengchen Mai, Fu-Lai Chung, Kent Larson

CoRR, 2024

Revolutionizing Finance with LLMs: An Overview of Applications and Insights.

Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu

CoRR, 2024

SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation.

Danhuai Guo, Yingxue Yu, Shiyin Ge, Song Gao, Gengchen Mai, Huixuan Chen

Int. J. Appl. Earth Obs. Geoinformation, 2024

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.

Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations.

Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GeoLLM: Extracting Geospatial Knowledge from Large Language Models.

Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Probing the Information Theoretical Roots of Spatial Dependence Measures.

Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic

Proceedings of the 16th International Conference on Spatial Information Theory, 2024

2023

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages.

Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph

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

EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system.

Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang

Trans. GIS, June, 2023

Towards general-purpose representation learning of polygonal geometries.

Gengchen Mai, Chiyu Jiang, Weiwei Sun, Rui Zhu, Yao Xuan, Ling Cai, Krzysztof Janowicz, Stefano Ermon, Ni Lao

GeoInformatica, April, 2023

HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning.

Ling Cai, Krzysztof Janowicz, Rui Zhu, Gengchen Mai, Bo Yan, Zhangyu Wang

GeoInformatica, April, 2023

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications.

Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai

CoRR, 2023

Multimodality of AI for Education: Towards Artificial General Intelligence.

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai

CoRR, 2023

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities.

Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu

CoRR, 2023

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution.

Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon

CoRR, 2023

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models.

Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz

CoRR, 2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.

Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song

CoRR, 2023

Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions.

Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao

CoRR, 2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li

CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.

Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu

CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

CoRR, 2023

Artificial General Intelligence (AGI) for Education.

Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai

CoRR, 2023

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.

Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng 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

AGI for Agriculture.

Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu

CoRR, 2023

The Expertise Ontology: Modeling Expertise in the Context of Emergency Management.

Shirly Stephen, Mark Schildhauer, Ling Cai, Yuanyuan Tian, Kitty Currier, Cogan Shimizu, Krzysztof Janowicz, Pascal Hitzler, Anna Lopez-Carr, Andrew Schroeder, Zilong Liu, Rui Zhu, Colby K. Fisher, Gengchen Mai, Tony Huang

Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), 2023

The KnowWhereGraph Ontology: A Showcase.

Cogan Shimizu, Shirly Stephen, Rui Zhu, Kitty Currier, Mark Schildhauer, Dean Rehberger, Pascal Hitzler, Krzysztof Janowicz, Colby K. Fisher, Mohammad Saeid Mahdavinejad, Antrea Christou, Adrita Barua, Abhilekha Dalal, Sanaz Saki Norouzi, Zilong Liu, Meilin Shi, Ling Cai, Gengchen Mai, Zhangyu Wang, Yuanyuan Tian

Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), 2023

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations.

Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon

Proceedings of the International Conference on Machine Learning, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

Geo-Foundation Models: Reality, Gaps and Opportunities.

Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper).

Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa.

Hao Li, Jiapan Wang, Johann Maximilian Zollner, Gengchen Mai, Ni Lao, Martin Werner

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022

GeoKG'2022 Workshop Report: The 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs.

Rui Zhu, Krzysztof Janowicz, Gautam S. Thakur, Xiaogang Ma, Ellie Young, Gengchen Mai

ACM SIGSPATIAL Special, November, 2022

Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).

Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai

ACM SIGSPATIAL Special, November, 2022

Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning.

Gengchen Mai, Yingjie Hu, Song Gao, Ling Cai, Bruno Martins, Johannes Scholz, Jing Gao, Krzysztof Janowicz

Trans. GIS, 2022

Diverse data! Diverse schemata?

Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai, Shirly Stephen, Rui Zhu, Ling Cai, Lu Zhou, Mark Schildhauer, Zilong Liu, Zhangyu Wang, Meilin Shi

Semantic Web, 2022

Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks.

Rui Zhu, Krzysztof Janowicz, Ling Cai, Gengchen Mai

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

A review of location encoding for GeoAI: methods and applications.

Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

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

Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions.

Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao

CoRR, 2022

Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence.

Krzysztof Janowicz, Pascal Hitzler, Wenwen Li, Dean Rehberger, Mark Schildhauer, Rui Zhu, Cogan Shimizu, Colby K. Fisher, Ling Cai, Gengchen Mai, Joseph Zalewski, Lu Zhou, Shirly Stephen, Seila Gonzalez Estrecha, Bryce D. Mecum, Anna Lopez-Carr, Andrew Schroeder, Dave Smith, Dawn J. Wright, Sizhe Wang, Yuanyuan Tian, Zilong Liu, Meilin Shi, Anthony D'Onofrio, Zhining Gu, Kitty Currier

AI Mag., 2022

Towards a foundation model for geospatial artificial intelligence (vision paper).

Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Understanding economic development in rural Africa using satellite imagery, building footprints and deep models.

Amna Elmustafa, Erik Rozi, Yutong He, Gengchen Mai, Stefano Ermon, Marshall Burke, David B. Lobell

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

LD Connect: A Linked Data Portal for IOS Press Scientometrics.

Zilong Liu, Meilin Shi, Krzysztof Janowicz, Blake Regalia, Stephanie Delbecque, Gengchen Mai, Rui Zhu, Pascal Hitzler

Proceedings of the Semantic Web - 19th International Conference, 2022

2021

Narrative Cartography with Knowledge Graphs.

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

CoRR, 2021

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions.

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

CoRR, 2021

Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes.

Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Gengchen Mai

Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

Providing Humanitarian Relief Support through Knowledge Graphs.

Rui Zhu, Ling Cai, Gengchen Mai, Cogan Shimizu, Colby K. Fisher, Krzysztof Janowicz, Anna Lopez-Carr, Andrew Schroeder, Mark Schildhauer, Yuanyuan Tian, Shirly Stephen, Zilong Liu

Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

A Pattern for Features on a Hierarchical Spatial Grid.

Cogan Shimizu, Rui Zhu, Gengchen Mai, Colby K. Fisher, Ling Cai, Mark Schildhauer, Krzysztof Janowicz, Pascal Hitzler, Lu Zhou, Shirly Stephen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology.

Rui Zhu, Cogan Shimizu, Shirly Stephen, Lu Zhou, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Mark Schildhauer, Pascal Hitzler

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Environmental Observations in Knowledge Graphs.

Rui Zhu, Shirly Stephen, Lu Zhou, Cogan Shimizu, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Pascal Hitzler, Mark Schildhauer

Proceedings of the DaMaLOS, 2021

2020

SE-KGE : A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting.

Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao

Trans. GIS, 2020

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting.

Ling Cai, Krzysztof Janowicz, Gengchen Mai, Bo Yan, Rui Zhu

Trans. GIS, 2020

Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online.

Gengchen Mai, Krzysztof Janowicz, Sathya Prasad, Meilin Shi, Ling Cai, Rui Zhu, Blake Regalia, Ni Lao

CoRR, 2020

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells.

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Making direction a first-class citizen of Tobler's first law of geography.

Rui Zhu, Krzysztof Janowicz, Gengchen Mai

Trans. GIS, 2019

A spatially explicit reinforcement learning model for geographic knowledge graph summarization.

Bo Yan, Krzysztof Janowicz, Gengchen Mai, Rui Zhu

Trans. GIS, 2019

Deeply integrating Linked Data with Geographic Information Systems.

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Simon Scheider

Trans. GIS, 2019

Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs.

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

Proceedings of the 10th International Conference on Knowledge Capture, 2019

TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction.

Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu

Proceedings of the 10th International Conference on Knowledge Capture, 2019

Relaxing Unanswerable Geographic Questions Using A Spatially Explicit Knowledge Graph Embedding Model.

Gengchen Mai, Bo Yan, Krzysztof Janowicz, Rui Zhu

Proceedings of the Geospatial Technologies for Local and Regional Development, 2019

2018

ADCN: An anisotropic density-based clustering algorithm for discovering spatial point patterns with noise.

Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao

Trans. GIS, 2018

On the prospects of blockchain and distributed ledger technologies for open science and academic publishing.

Krzysztof Janowicz, Blake Regalia, Pascal Hitzler, Gengchen Mai, Stephanie Delbecque, Maarten Fröhlich, Patrick Martinent, Trevor Lazarus

Semantic Web, 2018

Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines.

Gengchen Mai, Krzysztof Janowicz, Bo Yan

Proceedings of the Joint proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4) and NLIWoD4: Natural Language Interfaces for the Web of Data (NLIWOD-4) and 9th Question Answering over Linked Data challenge (QALD-9) co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, California, United States of America, October 8th, 2018

Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes.

Krzysztof Janowicz, Bo Yan, Blake Regalia, Rui Zhu, Gengchen Mai

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

xNet+SC: Classifying Places Based on Images by Incorporating Spatial Contexts.

Bo Yan, Krzysztof Janowicz, Gengchen Mai, Rui Zhu

Proceedings of the 10th International Conference on Geographic Information Science, 2018

POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset.

Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao

Proceedings of the 12th Workshop on Geographic Information Retrieval, 2018

GNIS-LD: Serving and Visualizing the Geographic Names Information System Gazetteer as Linked Data.

Blake Regalia, Krzysztof Janowicz, Gengchen Mai, Dalia Varanka, E. Lynn Usery

Proceedings of the Semantic Web - 15th International Conference, 2018

Support and Centrality: Learning Weights for Knowledge Graph Embedding Models.

Gengchen Mai, Krzysztof Janowicz, Bo Yan

Proceedings of the Knowledge Engineering and Knowledge Management, 2018

2017

ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise.

Gengchen Mai

PhD thesis, 2017

Phuzzy.link: A SPARQL-powered Client-Sided Extensible Semantic Web Browser.

Blake Regalia, Krzysztof Janowicz, Gengchen Mai

Proceedings of the Third International Workshop on Visualization and Interaction for Ontologies and Linked Data co-located with the 16th International Semantic Web Conference (ISWC 2017), 2017

From ITDL to Place2Vec: Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts.

Bo Yan, Krzysztof Janowicz, Gengchen Mai, Song Gao

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

A Linked Data Driven Visual Interface for the Multi-perspective Exploration of Data Across Repositories.

Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Grant McKenzie

Proceedings of the Second International Workshop on Visualization and Interaction for Ontologies and Linked Data co-located with the 15th International Semantic Web Conference, 2016

Moon Landing or Safari? A Study of Systematic Errors and Their Causes in Geographic Linked Data.

Krzysztof Janowicz, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, Kerry L. Taylor

Proceedings of the Geographic Information Science - 9th International Conference, 2016

ADCN: an anisotropic density-based clustering algorithm.

Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015

Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning.

Rui Xiao, Shiliang Su, Gengchen Mai, Zhonghao Zhang, Chenxue Yang

Int. J. Appl. Earth Obs. Geoinformation, 2015