CV

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Research interests

• Geospatial Artificial Intelligence (GeoAI)
• Spatiotemporal Data Visual Analytics

Education

• Ph.D. candidate, Technical University of Munich, Sept. 2024 – present
  • Chair of Cartography and Visual Analytics, School of Engineering and Design
  • Supervisor: Prof. Dr.-Ing. Liqiu Meng (TUM); Mentor: Dr.-Ing. Peng Luo (MIT)
• Ph.D. candidate, EIT Urban Mobility Doctoral Training Network (DTN), Jul. 2025 – present
  • DTN@TUM: International Graduate School of Science and Engineering
  • Components: Innovation & Entrepreneurship modules, Intercultural Skills & Leadership, International Placement, DTN Annual Forum
• M.Eng., Wuhan University, Sept. 2021 – Jun. 2024
  • State Key Laboratory of Engineering in Surveying, Mapping and Remote Sensing (LIESMARS)
  • Major: Cartography and Geographic Information Engineering — average score 87.94/100
• B.Eng., Wuhan University, Sept. 2017 – Jun. 2021
  • School of Remote Sensing and Information Engineering
  • Major: Remote Sensing Science and Technology — GPA 3.84/4.0 (top 7%)
• Summer School, Hong Kong Polytechnic University, Jun. 2019 – Jul. 2019
  • Department of Land Surveying and Geo-Informatics
  • Courses: Mobile GIS and Location-based Services; Spatial Big Data Analytics

Research experience

• Spatiotemporal Memory and Intelligence in LLMs, 2025 – present
  • Supervisors: Prof. Liqiu Meng, Dr. Peng Luo
  • Lost in Aggregation: a multi-scale diagnostic benchmark that localizes where LLMs get lost in spatial navigation, separating Fine (local passability), Meso (junction topology) and Macro (global goal direction) reasoning across 1,050 annotated mazes; also compares multimodal location inputs (image, coordinate, text, map) and proposes a hierarchical planning framework to improve performance.
  • LLM-MapRepair: a framework for LLM agents to incrementally build and repair navigation graphs, keeping spatial memory coherent through version-controlled edits and impact-based corrections.
• Hiking Behavior Patterns, 2024 – present
  • Supervisors: Prof. Liqiu Meng, Dr. Peng Luo
  • Developing a dataset from user-generated GPS, imagery and textual data to model hiking patterns and assess ecological footprints for sustainability research.
• Map Retrieval Intention Recognition, 2021 – 2024
  • Supervisors: Prof. Jianya Gong, Prof. Zhipeng Gui
  • Drawing on user relevance feedback and geographic semantic guidance to improve retrieval accuracy and support the discovery of online geographic resources in an intention-driven way; hypergraph segmentation was employed to optimize the approach.
  • OGC WMS Discovery Portal (2021 – 2023): a web-based retrieval system for online geographic resources, supporting multimodal search and query of Web Map Services.
• Spatial Analysis of COVID-19, 2019 – 2021
  • Supervisor: Prof. Gang Xu
  • Quantified the spatial distribution patterns of COVID-19 cases in Wuhan from social media (Weibo) data, and analysed associations between case distribution and environmental factors.

Honors and awards

• 2024 – 2025
  • International Cartographic Association (ICA) Scholarship
• 2021 – 2024 (Master’s)
  • Outstanding Master’s Degree Graduates
  • The First Prize Academic Scholarship
  • Outstanding Postgraduate Student
  • Advanced Individual of Social Work
• 2017 – 2021 (Bachelor’s)
  • Outstanding Bachelor’s Degree Graduates
  • National Encouragement Scholarship
  • Merit Student
  • The First Prize Scholarship

Publications

• Chen, C., Jiang, Y., Feng, Y., Liu, Y., & Meng, L. (2026). "Explaining the urban mechanisms behind OpenStreetMap updates: Evidence from 88 German cities." Computers, Environment and Urban Systems, 128, 102456. details ›
• Zhang, P., Chen, X., Feng, Y., Jiang, Y., & Meng, L. (2026). "Constructing coherent spatial memory in LLM agents through graph rectification." In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026). San Diego, California, USA. details ›
• Jiang, Y., Luo, P., & Meng, L. (2026). "Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation." arXiv preprint arXiv:2606.22219. details ›
• Jiang, Y., & Luo, P. (2025). "Beyond Spatial Proximity: A Temporal Accessibility Index for Equitable Nature Access in Bavaria’s Hiking Trails." Abstracts of the ICA, 10, 130. details ›
• Gui, Z., Liu, X., Zhao, A., Jiang, Y., Ling, Z., Hu, X., Li, F., Yang, Z., Wu, H., & Zhao, S. (2024). "Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands." Information Processing & Management, 61(4), 103767. details ›
• Xia, J., Huang, Q., Gui, Z., & Tu, W. (Eds.). (2024). Open GIS. Springer International Publishing. Contributed to Chapter 10 (Desktop-based Mapping and Visualization Tools) and Chapter 11 (Web-based Mapping and Visualization Packages). details ›
• Gui, Z., Hu, X., Liu, X., Ling, Z., Jiang, Y., & Wu, H. (2023). "Map Retrieval Intention Formalization and Recognition by Considering Geographic Semantics." Journal of Geo-information Science, 25(6), 1186–1201. details ›
• Gui, Z., Jiang, Y., Gong, J., Wu, H., Ling, Z., Liu, X., & Zhao, A. (2023). "A Method for Detecting Geographic Information Resource Retrieval Intentions and its Computer-Readable Medium." Chinese invention patent, No. ZL202310900690.5. details ›
• Gui, Z., Hu, X., Lin, Z., Jiang, Y., & Wu, H. (2022). "A Method for Semantic-Aware Geographic Information Resource Retrieval Intention Recognition." Chinese invention patent, No. ZL202210280298.0. details ›
• Xu, G., Jiang, Y., Wang, S., Qin, K., Ding, J., Liu, Y., & Lu, B. (2022). "Spatial disparities of self-reported COVID-19 cases and influencing factors in Wuhan, China." Sustainable Cities and Society, 76, 103485. details ›

Talks and conferences

• Poster: Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation. EIT Urban Mobility Doctoral Training Network Annual Forum, Tartu, Estonia, 11–13 June 2026. details ›
• Poster: Where Do LLMs Get Lost? A Multi-Scale Diagnostic Benchmark for Spatial Navigation. IGSSE Forum 2026, TUM International Graduate School of Science and Engineering, Raitenhaslach, Germany, 11–13 May 2026. details ›
• Attended: DTN Annual Forum 2025. EIT Urban Mobility Doctoral Training Network Annual Forum, Lisbon, Portugal, 10–12 September 2025. details ›
• Oral presentation: Beyond Spatial Proximity: A Temporal Accessibility Index for Equitable Nature Access in Bavaria's Hiking Trails. The 32nd International Cartographic Conference (ICC), Vancouver, Canada, 17–22 August 2025. details ›
• Oral presentation: Map Retrieval Intention Recognition Based on Hypergraph Segmentation. The 18th Annual Conference on Theories and Methods of Geographic Information Science in China, Guilin, China, 19–21 May 2023. details ›

Teaching

• Large Language Models as Navigation Narrators: Evaluating Temporal Adaptation and Cognitive Landmark Usage. Technical University of Munich, Chair of Cartography and Visual Analytics, May 2026 – November 2026. details ›
• Spatial Visual Analytics 2026 — Block 2: Advanced Web-Based Mapping and Visualization Packages. Technical University of Munich, Chair of Cartography and Visual Analytics, Summer semester 2026. details ›
• Design and Implementation of an AI-agent-based Self-diagnostic Ethical GeoAI Framework. Technical University of Munich, Chair of Cartography and Visual Analytics, March 2026 – September 2026. details ›
• An open source Python package for geospatial visual explainable AI with causal discovery and recursive decomposition. Technical University of Munich, Chair of Cartography and Visual Analytics, December 2025 – June 2026. details ›
• Spatial Visual Analytics 2025 — Block 4: Web-Based Mapping and Visualization Packages. Technical University of Munich, Chair of Cartography and Visual Analytics, Summer semester 2025. details ›
• Mapping for a Sustainable World — Seminar topic: Connecting cities to nature. Technical University of Munich, Chair of Cartography and Visual Analytics, Summer semester 2025. details ›