publications

2026

1. SIGSPATIAL

   Investigating the Multi-Scale Reproducibility of GeoAI Models for Urban Perception

   Yingjing Huang, Krzysztof Janowicz, Mina Karimi, Zilong Liu, Songlin Wang, Annika Suess, and Alexandra Fortacz-Lazan

   In The 34th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’26), Riverside, CA, USA, Nov 2026

   Full paper

   DOI Bib

   @inproceedings{huang2026multiscale,
     title = {Investigating the Multi-Scale Reproducibility of GeoAI Models for Urban Perception},
     author = {Huang, Yingjing and Janowicz, Krzysztof and Karimi, Mina and Liu, Zilong and Wang, Songlin and Suess, Annika and Fortacz-Lazan, Alexandra},
     year = {2026},
     month = nov,
     booktitle = {The 34th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '26)},
     publisher = {Association for Computing Machinery},
     location = {Riverside, CA, USA},
     isbn = {979-8-4007-2950-8},
     doi = {10.1145/3841645.3842976},
     note = {Full paper},
     language = {en},
   }

2. SIGSPATIAL

   Characterizing Multidimensional Landscape Discontinuities at Phantom Borders with Satellite Foundation-Model Embeddings

   Yingjing Huang, Krzysztof Janowicz, Mina Karimi, Zilong Liu, Songlin Wang, and Annika Suess

   In The 34th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’26), Riverside, CA, USA, Nov 2026

   Poster paper

   DOI Bib

   @inproceedings{huang2026phantomborders,
     title = {Characterizing Multidimensional Landscape Discontinuities at Phantom Borders with Satellite Foundation-Model Embeddings},
     author = {Huang, Yingjing and Janowicz, Krzysztof and Karimi, Mina and Liu, Zilong and Wang, Songlin and Suess, Annika},
     year = {2026},
     month = nov,
     booktitle = {The 34th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL '26)},
     publisher = {Association for Computing Machinery},
     location = {Riverside, CA, USA},
     isbn = {979-8-4007-2950-8},
     doi = {10.1145/3841645.3843043},
     note = {Poster paper},
     language = {en},
   }

3. GeoAI

   How Geographic Information Influences Vision-Language Model Judgments of Urban Scenes

   Yingjing Huang, Krzysztof Janowicz, Mina Karimi, Zilong Liu, Songlin Wang, Alexandra Fortacz-Lazan, and Annika Suess

   In The 9th International Workshop on AI for Geographic Knowledge Discovery (GeoAI ’26), Riverside, CA, USA, Nov 2026

   Full research paper

   DOI Bib

   @inproceedings{huang2026geographicinformation,
     title = {How Geographic Information Influences Vision-Language Model Judgments of Urban Scenes},
     author = {Huang, Yingjing and Janowicz, Krzysztof and Karimi, Mina and Liu, Zilong and Wang, Songlin and Fortacz-Lazan, Alexandra and Suess, Annika},
     year = {2026},
     month = nov,
     booktitle = {The 9th International Workshop on AI for Geographic Knowledge Discovery (GeoAI '26)},
     publisher = {Association for Computing Machinery},
     location = {Riverside, CA, USA},
     isbn = {979-8-4007-3052-8},
     doi = {10.1145/3849726.3856105},
     note = {Full research paper},
     language = {en},
   }

4. FM4Urban

   Whose City Is It? Perspective-Dependent Urban Representations in Foundation Models

   Mina Karimi, Krzysztof Janowicz, Omid Reza Abbasi, Yingjing Huang, Zilong Liu, Songlin Wang, Annika Suess, and Alexandra Fortacz-Lazan

   In 1st Workshop on Foundation Models for Urban Analytics and Intelligence (FM4Urban 2026), ECML PKDD 2026, Naples, Italy, Sep 2026

   Accepted/In press; forthcoming in Springer CCIS

   Best Paper Award Bib

   Best Paper Award at FM4Urban 2026

   @inproceedings{karimi2026whose,
     title = {Whose City Is It? Perspective-Dependent Urban Representations in Foundation Models},
     author = {Karimi, Mina and Janowicz, Krzysztof and Abbasi, Omid Reza and Huang, Yingjing and Liu, Zilong and Wang, Songlin and Suess, Annika and Fortacz-Lazan, Alexandra},
     year = {2026},
     month = sep,
     booktitle = {1st Workshop on Foundation Models for Urban Analytics and Intelligence (FM4Urban 2026), ECML PKDD 2026},
     location = {Naples, Italy},
     note = {Accepted/In press; forthcoming in Springer CCIS},
     language = {en},
   }

5. COSIT

   Conceptual Vagueness in Human and LLM Representations: Evidence from Migration Distance Categorization

   Songlin Wang, Krzysztof Janowicz, Ailin Benitez Cortes, Marion Borderon, Yingjing Huang, Mina Karimi, Zilong Liu, Annika Süß, and Patrick Sakdapolrak

   In 17th International Conference on Spatial Information Theory (COSIT 2026), York, UK, Sep 2026

   Short Paper

   DOI Bib

   @inproceedings{wang2026conceptual,
     title = {Conceptual Vagueness in Human and LLM Representations: Evidence from Migration Distance Categorization},
     author = {Wang, Songlin and Janowicz, Krzysztof and Benitez Cortes, Ailin and Borderon, Marion and Huang, Yingjing and Karimi, Mina and Liu, Zilong and Süß, Annika and Sakdapolrak, Patrick},
     year = {2026},
     month = sep,
     booktitle = {17th International Conference on Spatial Information Theory (COSIT 2026)},
     series = {Leibniz International Proceedings in Informatics (LIPIcs)},
     volume = {393},
     pages = {21:1--21:9},
     publisher = {Schloss Dagstuhl -- Leibniz-Zentrum für Informatik},
     location = {York, UK},
     isbn = {978-3-95977-438-3},
     doi = {10.4230/LIPIcs.COSIT.2026.21},
     note = {Short Paper},
     language = {en},
   }

6. Science Bulletin

   Advancing urban sustainability with visual intelligence

   Yingjing Huang and Fan Zhang

   Science Bulletin, 2026

   DOI Bib

   @article{huang2026advancing,
     title = {Advancing urban sustainability with visual intelligence},
     author = {Huang, Yingjing and Zhang, Fan},
     year = {2026},
     journal = {Science Bulletin},
     doi = {10.1016/j.scib.2026.07.078},
     language = {en},
   }

7. arXiv

   

   StreetTree: A Large-Scale Global Benchmark for Fine-Grained Tree Species Classification

   Jiapeng Li, Yingjing Huang, Fan Zhang, and Yu Liu

   2026

   arXiv Bib Website

   @article{li2026streettree,
     title = {StreetTree: A Large-Scale Global Benchmark for Fine-Grained Tree Species Classification},
     author = {Li, Jiapeng and Huang, Yingjing and Zhang, Fan and Liu, Yu},
     year = {2026},
     language = {en},
   }

8. CEUS

   

   Learning street view representations based on a spatiotemporal contrastive learning framework

   Yong Li, Yingjing Huang, and Fan Zhang

   Computers, Environment and Urban Systems, 2026

   DOI Bib PDF

   @article{li2026learning,
     title = {Learning street view representations based on a spatiotemporal contrastive learning framework},
     author = {Li, Yong and Huang, Yingjing and Zhang, Fan},
     year = {2026},
     journal = {Computers, Environment and Urban Systems},
     volume = {125},
     pages = {102393},
     issn = {0198-9715},
     language = {en},
     doi = {10.1016/j.compenvurbsys.2025.102393},
     co_first = {true},
   }

2025

1. IJHG

   Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients

   Jing Xiao, Teng Fei, Bo Yu, Yingjing Huang, and Yunyan Du

   International Journal of Health Geographics, 2025

   DOI Bib PDF

   @article{xiao2025street,
     title = {Street view images help to reveal the impact of noisy environments on the survival duration of stroke patients},
     author = {Xiao, Jing and Fei, Teng and Yu, Bo and Huang, Yingjing and Du, Yunyan},
     year = {2025},
     journal = {International Journal of Health Geographics},
     volume = {24},
     number = {1},
     pages = {27},
     issn = {1476-072X},
     doi = {10.1186/s12942-025-00416-8},
     language = {en},
   }

2. Annals of GIS

   

   Representation learning for geospatial data

   Yu Liu, Xuechen Wang, Yidan Wang, Fei Huang, Yingjing Huang, Yong Li, Weiyu Zhang, Shuhui Gong, Gengchen Mai, Yao Yao, Yang Yue, Haifeng Li, and Fan Zhang

   Annals of GIS, 2025

   DOI Bib PDF

   @article{liu2025representation,
     title = {Representation learning for geospatial data},
     author = {Liu, Yu and Wang, Xuechen and Wang, Yidan and Huang, Fei and Huang, Yingjing and Li, Yong and Zhang, Weiyu and Gong, Shuhui and Mai, Gengchen and Yao, Yao and Yue, Yang and Li, Haifeng and Zhang, Fan},
     year = {2025},
     journal = {Annals of GIS},
     pages = {1--27},
     publisher = {Taylor \& Francis},
     issn = {1947-5683, 1947-5691},
     doi = {10.1080/19475683.2025.2552157},
     language = {en},
   }

3. IJGI

   Evaluating Urban Greenery Through the Front-Facing Street View Imagery: Insights from a Nanjing Case Study

   Jin Zhu, Yingjing Huang, Ziyue Cao, Yue Zhang, Yuan Ding, and Jinglong Du

   ISPRS International Journal of Geo-Information, 2025

   DOI Bib PDF

   @article{zhu2025evaluating,
     title = {Evaluating Urban Greenery Through the Front-Facing Street View Imagery: Insights from a Nanjing Case Study},
     author = {Zhu, Jin and Huang, Yingjing and Cao, Ziyue and Zhang, Yue and Ding, Yuan and Du, Jinglong},
     year = {2025},
     journal = {ISPRS International Journal of Geo-Information},
     volume = {14},
     number = {8},
     pages = {287},
     publisher = {Multidisciplinary Digital Publishing Institute},
     issn = {2220-9964},
     doi = {10.3390/ijgi14080287},
     language = {en},
   }

4. Cities

   

   Measuring urban physical environments using image deep features

   Yingjing Huang, Fan Zhang, Lun Wu, and Yu Liu

   Cities, 2025

   DOI Bib PDF Code

   @article{huang2025measuringa,
     title = {Measuring urban physical environments using image deep features},
     author = {Huang, Yingjing and Zhang, Fan and Wu, Lun and Liu, Yu},
     year = {2025},
     journal = {Cities},
     volume = {166},
     pages = {106196},
     issn = {0264-2751},
     language = {en},
     doi = {10.1016/j.cities.2025.106196},
   }

5. GSIS WHU

   Intelligent Computational Representation of Urban Imagery

   Yingjing Huang, Fan Zhang, Yong Li, Lun Wu, and Yu Liu

   Geomatics and Information Science of Wuhan University, 2025

   (in Chinese)

   DOI Bib PDF

   @article{huang2025cheng,
     title = {Intelligent Computational Representation of Urban Imagery},
     author = {Huang, Yingjing and Zhang, Fan and Li, Yong and Wu, Lun and Liu, Yu},
     year = {2025},
     journal = {Geomatics and Information Science of Wuhan University},
     volume = {0},
     number = {0},
     issn = {1671-8860},
     language = {cn},
     doi = {10.13203/j.whugis20240472},
   }

6. B&E

   

   No “true” greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement

   Yingjing Huang, Rohit Priyadarshi Sanatani, Chang Liu, Yuhao Kang, Fan Zhang, Yu Liu, Fabio Duarte, and Carlo Ratti

   Building and Environment, 2025

   DOI Bib PDF Code Website

   @article{huang2025no,
     title = {No ``true'' greenery: Deciphering the bias of satellite and street view imagery in urban greenery measurement},
     author = {Huang, Yingjing and Sanatani, Rohit Priyadarshi and Liu, Chang and Kang, Yuhao and Zhang, Fan and Liu, Yu and Duarte, Fabio and Ratti, Carlo},
     year = {2025},
     journal = {Building and Environment},
     volume = {269},
     pages = {112395},
     issn = {03601323},
     doi = {10.1016/j.buildenv.2024.112395},
     language = {en},
   }

2023

1. CEUS

   

   Comprehensive Urban Space Representation with Varying Numbers of Street-Level Images

   Yingjing Huang, Fan Zhang, Yong Gao, Wei Tu, Fabio Duarte, Carlo Ratti, Diansheng Guo, and Yu Liu

   Computers, Environment and Urban Systems, Dec 2023

   DOI Bib PDF Code Website

   @article{huang2023comprehensive,
     title = {Comprehensive Urban Space Representation with Varying Numbers of Street-Level Images},
     author = {Huang, Yingjing and Zhang, Fan and Gao, Yong and Tu, Wei and Duarte, Fabio and Ratti, Carlo and Guo, Diansheng and Liu, Yu},
     year = {2023},
     month = dec,
     journal = {Computers, Environment and Urban Systems},
     volume = {106},
     pages = {102043},
     issn = {0198-9715},
     language = {en},
     doi = {10.1016/j.compenvurbsys.2023.102043},
     urldate = {2023-10-12},
   }

2021

1. JGIS

   Next-day Prediction of Pollen Concentration in Beijing by Integrating Remote Sensing Derived Leaf Area Index

   Meng Bian, Shuyi Guo, Wei Wang, Yuhui Ouyang, Yingjing Huang, and Teng Fei

   Journal of Geo-Information Science, 2021

   (in Chinese)

   Bib PDF

   @article{bian2021Rong,
     title = {Next-day Prediction of Pollen Concentration in Beijing by Integrating Remote Sensing Derived Leaf Area Index},
     author = {Bian, Meng and Guo, Shuyi and Wang, Wei and Ouyang, Yuhui and Huang, Yingjing and Fei, Teng},
     year = {2021},
     journal = {Journal of Geo-Information Science},
     volume = {23},
     number = {1705},
     pages = {1705--1713},
     language = {cn},
     publisher = {Journal of Geo-Information Science},
   }

2. IJGIS

   

   Emotional Habitat: Mapping the Global Geographic Distribution of Human Emotion with Physical Environmental Factors Using a Species Distribution Model

   Yizhuo Li, Teng Fei, Yingjing Huang, Jun Li, Xiang Li, Fan Zhang, Yuhao Kang, and Guofeng Wu

   International Journal of Geographical Information Science, Feb 2021

   DOI Bib PDF

   @article{Li2021emotional,
     title = {Emotional Habitat: Mapping the Global Geographic Distribution of Human Emotion with Physical Environmental Factors Using a Species Distribution Model},
     shorttitle = {Emotional Habitat},
     author = {Li, Yizhuo and Fei, Teng and Huang, Yingjing and Li, Jun and Li, Xiang and Zhang, Fan and Kang, Yuhao and Wu, Guofeng},
     year = {2021},
     month = feb,
     journal = {International Journal of Geographical Information Science},
     volume = {35},
     number = {2},
     pages = {227--249},
     language = {en},
     issn = {1365-8816, 1362-3087},
     doi = {10.1080/13658816.2020.1755040},
     urldate = {2022-04-09},
     langid = {english},
   }

2020

1. IJGI

   

   GIS-Based Emotional Computing: A Review of Quantitative Approaches to Measure the Emotion Layer of Human–Environment Relationships

   Yingjing Huang, Teng Fei, Mei-Po Kwan, Yuhao Kang, Jun Li, Yizhuo Li, Xiang Li, and Meng Bian

   ISPRS International Journal of Geo-Information, Sep 2020

   DOI Bib PDF

   @article{Huang2020gis,
     title = {{{GIS-Based Emotional Computing}}: {{A Review}} of {{Quantitative Approaches}} to {{Measure}} the {{Emotion Layer}} of {{Human}}--{{Environment Relationships}}},
     shorttitle = {{{GIS-Based Emotional Computing}}},
     author = {Huang, Yingjing and Fei, Teng and Kwan, Mei-Po and Kang, Yuhao and Li, Jun and Li, Yizhuo and Li, Xiang and Bian, Meng},
     year = {2020},
     month = sep,
     journal = {ISPRS International Journal of Geo-Information},
     volume = {9},
     number = {9},
     pages = {551},
     issn = {2220-9964},
     doi = {10.3390/ijgi9090551},
     urldate = {2022-04-09},
     language = {en},
   }

2. Cities

   

   Quantifying the Bias in Place Emotion Extracted from Photos on Social Networking Sites: A Case Study on a University Campus

   Yingjing Huang, Jun Li, Guofeng Wu, and Teng Fei

   Cities, Jul 2020

   DOI Bib PDF

   @article{Huang2020quantifying,
     title = {Quantifying the Bias in Place Emotion Extracted from Photos on Social Networking Sites: {{A}} Case Study on a University Campus},
     shorttitle = {Quantifying the Bias in Place Emotion Extracted from Photos on Social Networking Sites},
     author = {Huang, Yingjing and Li, Jun and Wu, Guofeng and Fei, Teng},
     year = {2020},
     month = jul,
     journal = {Cities},
     volume = {102},
     pages = {102719},
     issn = {02642751},
     language = {en},
     doi = {10.1016/j.cities.2020.102719},
     urldate = {2022-04-09},
   }

3. RS

   Rapid Identification and Prediction of Cadmium-Lead Cross-Stress of Different Stress Levels in Rice Canopy Based on Visible and Near-Infrared Spectroscopy

   Shuangyin Zhang, Jun Li, Siying Wang, Yingjing Huang, Yizhuo Li, Yiyun Chen, and Teng Fei

   Remote Sensing, Jan 2020

   DOI Bib PDF

   @article{zhang2020rapid,
     title = {Rapid {{Identification}} and {{Prediction}} of {{Cadmium-Lead Cross-Stress}} of {{Different Stress Levels}} in {{Rice Canopy Based}} on {{Visible}} and {{Near-Infrared Spectroscopy}}},
     author = {Zhang, Shuangyin and Li, Jun and Wang, Siying and Huang, Yingjing and Li, Yizhuo and Chen, Yiyun and Fei, Teng},
     year = {2020},
     month = jan,
     journal = {Remote Sensing},
     volume = {12},
     number = {3},
     pages = {469},
     language = {en},
     publisher = {Multidisciplinary Digital Publishing Institute},
     issn = {2072-4292},
     doi = {10.3390/rs12030469},
     copyright = {http://creativecommons.org/licenses/by/3.0/},
     langid = {english},
   }

2017

1. TCSAE

   Optimization Method of Calibration Dataset for VIS-NIR Spectral Inversion Model of Soil Organic Matter Content

   Yiyun Chen, Tianci Qi, Yingjing Huang, Yuan Wan, Ruiying Zhao, Lin Qi, Chao Zhang, and Teng Fei

   Transactions of the Chinese Society of Agricultural Engineering, Mar 2017

   (in Chinese)

   Bib PDF

   @article{chen2017optimization,
     title = {Optimization Method of Calibration Dataset for {{VIS-NIR}} Spectral Inversion Model of Soil Organic Matter Content},
     author = {Chen, Yiyun and Qi, Tianci and Huang, Yingjing and Wan, Yuan and Zhao, Ruiying and Qi, Lin and Zhang, Chao and Fei, Teng},
     year = {2017},
     month = mar,
     language = {cn},
     journal = {Transactions of the Chinese Society of Agricultural Engineering},
     volume = {33},
     number = {6},
     pages = {107--114},
   }