Chen
Research Interests
My research focuses on the intersection of Geospatial Artificial Intelligence (GeoAI), Explainable Artificial Intelligence (XAI), Causal Inference, and Visual Analytics, with the aim of enhancing the interpretability, reliability, and policy relevance of spatial modeling. In alignment with the principles of Responsible AI and Responsible GeoAI, I seek to promote the ethical and accountable use of AI in geographic contexts by uncovering the causal mechanisms behind model outputs, addressing data inequality, and ensuring responsible spatial representation and visualization. Special attention is given to urban environments, population distribution, and the development of frameworks that support transparent decision-making through interpretable and causally grounded geospatial analysis.
Publication
Journal Article:
Chen, C., Lao, Y., Fan, J., Liu, L., Liang, Y., & Meng, L. (2025). Geovisual explainable AI for understanding frozen ground in Qinghai-Tibet Plateau urban region. International Journal of Applied Earth Observation and Geoinformation, 142, 104760.
Luo, P., Chen, C. *, Gao, S., Zhang, X., Majok Chol, D., Yang, Z., & Meng, L. (2025). Understanding of the predictability and uncertainty in population distributions empowered by visual analytics. International Journal of Geographical Information Science, 1–31.
Chen, C., Luo, P., Zhao, H., Wei, M., Zhang, P., Liu, Z., & Meng, L. (2025). A unified ontological and explainable framework for decoding AI risks from news data. Scientific Reports, 15(1), 25621.
Chen, C., Feng, Y., Wei, M., Liu, Z., Luo, P., Wang, S., & Meng, L. (2024). A hyper-knowledge graph system for research on AI ethics cases. Heliyon, 10(7).
Chen, C., Zhao, H., Cui, W., & He, X. (2021). Dual Crisscross Attention Module for Road Extraction from Remote Sensing Images. Sensors, 21(20), 6873.
Wei, M., Zhang, P., Chen, C. *, Chen, D., Zuo, C., & Meng, L. (2025). Mapping AI ethics narratives: evidence from Twitter discourse between 2015 and 2022. Humanities and Social Sciences Communications, 12(1), 1-13.
Wei, M., Feng, Y., Chen, C., Luo, P., Zuo, C., & Meng, L. (2024). Unveiling public perception of AI ethics: an exploration on Wikipedia data. EPJ Data Science, 13(1), 26.
Zuo, C., Wei, M., Zhang, P., Chen, C., & Meng, L. (2024). Assessing maps for social topic representation: a qualitative content analysis of maps for sustainable mobility. International Journal of Cartography, 1-19.
Zhao, H., Luo, P., Cui, W., Xia, C., Xu, X., Feng, Z., ... & Chen, C. (2024). Geographical Scenario Knowledge Informed Graph Structure Attention for Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing.
Liu, Y., Wang, Y., Zhang, Y., Mei, S., Zou, J., Li, Z., ...Chen, C.,… & Hong, D. (2024). Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 8851-8862.
Conference:
Chen, C., Wei, M., & Meng, L. (2023). Visual analysis of AI ethics cases. Abstracts of the ICA, 6, 35.
Zhao, H., Chen, C. *, & Xia, C. (2023, October). Multimodal Remote Sensing Network. In 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1-4). IEEE.
Wei, M., Chen, C., Zuo, C., & Meng, L. (2023). Detecting and visualizing the knowledge structure of AI ethics in Wikipedia data. Abstracts of the ICA, 6, 269.
Liu, N., Salazar, J., Chen, C., Wang, S., Netek, R., Popelka, S., & Meng, L. (2023). Using Eye-tracking to Evaluate Visual Behaviours on GISEnhanced Football Animations. Abstracts of the ICA, 6, 144.
Teaching
Lecture:
Image Analysis for Mapping (M.Sc, since 2022)
Mapping for a Sustainable World – Seminar (M.Sc, 2023 Summer)
Master Thesis Supervision:
Knowledge Graph Construction Based on Earth System Science Data (ESSD) Journal Articles (Junyi Wu, 2023)
Multi-Scale Analysis of Urban Heat Island Effect Based on Multisource Geographic Driving Factors and Causal Inference （Xingyu Liu, 2025）
Geovisual Analytics of U.S. Election Data Empowered by Explainable Artificial Intelligence (Yuxuan Zhang, 2025)
Seminar Supervision:
Visual Analysis of AI Risks on Global Scale (Rooseler Gyimah, 2023)