Siqi Du (杜思齐)

Siqi Du (杜思齐)

Peking University

I am a Research Assistant at Peking University, working in Dr. Shuangcheng Li’s research group (faculty homepage).

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

I work at the intersection of artificial intelligence (deep learning, LLMs, and agents) and Earth sciences, remote sensing, and ecology.

🔬 Research Interests

Agent Harness

How to build efficient, reliable intelligent agent systems—from orchestration to deployment.

Agent Computation Graph

Using computation graphs to manage memory efficiently and reduce inference cost during agent reasoning.

Implicit Representation Learning

Mapping physical-world properties into implicit representations that neural networks can learn, query, and compose.

Efficient Representation Learning

Lightweight representation learning for on-device and edge deployment with minimal latency and energy use.

🎓 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

JLPPI
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  • Shen, K., Lan, M., Du, S., Bai, Y., Wu, J., & Weng, W. (2025). Process safety risk assessment against natural disasters: A cross-system scenario analysis perspective. Journal of Loss Prevention in the Process Industries, 100, Article 105905. [DOI] [ScienceDirect]
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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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’