Siqi Du (杜思齐)

Siqi Du (杜思齐)

Peking University

I received M.S. of Geoinformatics from Shenzhen University and B.S. of Mathematics from Chongqing University. Now I am working as a Research Assistant in Shenzhen University, School of Architecture and Urban Planning. My supervisors are Dr.Renzhong Guo [website] and Dr.Shengjun Tang [website].

My research interests lie at the intersection of advanced artificial intelligence (such as Deep Neural Networks, Large Language Models, and LLM Agents) and Earth sciences, remote sensing, and ecological studies, with a focus on addressing cutting-edge challenges in these fields. Specifically, my research interests include:

  1. Developing end-to-end interpretable Earth Sciences Machine Learning methods for modeling of spatiotemporal heterogeneity
  2. Developing methods for multimodal spatiotemporal prediction in Earth sciences.
  3. Developing LLM Agent systems for remote sensing applications enhancing data processing efficiency

🎓 Education & Research Experience

Period Institution Role / Degree Supervisor Research Interests
2025.04 – Present Peking University Research Assistant Dr. Shuangcheng Li Geographical Machine Learning;
Carbon Sink Steady-State Transition
2024.06 – 2025.03 Shenzhen University Research Assistant Dr. Shengjun Tang AI4Science;
Natural Language Processing;
Geographical Machine Learning
2021.09 – 2024.06 Shenzhen University M.S. in GIS Dr. Renzhong Guo Multimodal Scene Understanding;
Natural Language Processing
2017.09 – 2021.06 Chongqing University B.S. in Mathematics Dr. Li Zeng Statistical Machine Learning;
Remote Sensing Image Processing;
Semantic Segmentation

📝 Publications and Manuscripts

ISPRS-Archives
Local Spatial Effects Model
  • Du, S., Huang, H., Shen, K., Liu, Z., & Tang, S. (2025). An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity. arXiv:2502.06170. [Web] [pdf]
AGCS
sym
  • Tang, S., Du, S., Wang, W., & Guo, R. (2024). 3D scene graph representation and application for indoor space. Acta Geodaetica et Cartographica Sinica, 53(7), Article 1355. https://doi.org/10.11947/j.AGCS.2024.20230482 [Web] [pdf]
CVPRW 2024
sym
  • Du, S., Wang, W., Guo, R., Wang, R., & Tang, S. (2024). Asymformer: Asymmetrical cross-modal representation learning for mobile platform real-time rgb-d semantic segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7608-7615).[Web] [Github] [pdf]
ISPRS-Archives
sym
  • Du, S., Tang, S., Wang, W., Li, X., & Guo, R. (2023). TREE-GPT: MODULAR LARGE LANGUAGE MODEL EXPERT SYSTEM FOR FOREST REMOTE SENSING IMAGE UNDERSTANDING AND INTERACTIVE ANALYSIS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 1729-1736. [web] [pdf]
JAG
sym
  • Wang, W., Li, Y., Huang, H., Hong, L., Du, S., Xie, L., … & Tang, S. (2023). Branching the limits: Robust 3D tree reconstruction from incomplete laser point clouds. International Journal of Applied Earth Observation and Geoinformation, 125, 103557. (JCR:Q1; IF:7.5) [web] [pdf]
JAG
sym
  • Du, S., Huang, H., He, F., Luo, H., Yin, Y., Li, X., … & Tang, S. (2023). Unsupervised stepwise extraction of offshore aquaculture ponds using super-resolution hyperspectral images. International Journal of Applied Earth Observation and Geoinformation, 119, 103326. (JCR:Q1; IF:7.5) [web] [pdf]
NRSB
sym
  • Wang, W., Huang, H., Du, S., Li, X., Xie, L., Hong, L., Guo, R., & Tang, S. (2023). High-fidelity 3D reconstruction of tree models for virtual geographic environment construction. National Remote Sensing Bulletin, 28(5), 1222-1231. https://doi.org/10.11834/jrs.20232589 [web] [pdf]
ISPRS-Annals
sym
  • Du, S., Tang, S., Wang, W., Li, X., Lu, Y., & Guo, R. (2022). PSCNET: Efficient RGB-D semantic segmentation parallel network based on spatial and channel attention. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1, 129-136. [web] [pdf]

🏅 Scholarship and Award

  • 2024.06 Shenzhen University Outstanding Graduate
  • 2024.06 Shenzhen University Academic Initiation Scholarship
  • 2024.05 SUIADR-KAISA Academic Scholarship
  • 2023.12 ISPRS GSW2023 Best Workshop Presentation Award
  • 2023.10 Chinese National Scholarship
  • 2023.10 Shenzhen University Academic Scholarship
  • 2023.05 SUIADR-KAISA Academic Scholarship
  • 2022.10 Shenzhen University Academic Scholarship
  • 2021.10 Shenzhen University Academic Scholarship
  • 2021.06 Chongqing University Best Bachelor Thesis Award

🏛️ Conference and Presentation

  • 2025.04 — ISPRS Geospatial Week 2025, Smart Forest Workshop
    Topic: An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity

  • 2024.06 — IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
    Topic: Asymformer: Asymmetrical Cross-Modal Representation Learning for Mobile-Platform Real-Time RGB-D Semantic Segmentation

  • 2023.09 — ISPRS Geospatial Week 2023, Smart Forest Workshop
    Topic: Tree-GPT: Modular Large Language Model Expert System for Forest Remote Sensing Image Understanding and Interactive Analysis

  • 2023.04 — 2nd Summit Forum on Chinese Big Data & AI Technology in Time and Space
    Topic: Unsupervised Stepwise Extraction of Offshore Aquaculture Ponds Using Super-Resolution Hyperspectral Images

  • 2021.10 — XXIV ISPRS Congress, Mobile Mapping Workshop
    Topic: PSCNET: Efficient RGB-D Semantic Segmentation Parallel Network Based on Spatial and Channel Attention

💻 Teaching Experience

  • 2023.09 - 2023.12, Teaching Assistant for Course ‘Open-Source GIS Software’
  • 2023.04, Secretary of Graduate School Entrance Exam
  • 2022.09 - 2022.12, Teaching Assistant for Course ‘Open-Source GIS Software’