Hi there! 👋 I'm Yunlong Liu

🎓 M.Arch Graduate Student at Southeast University, specializing in Urban Design with a focus on Urban Data Science and Graph Neural Networks

🔬 Research Interests: Urban Computing • Human Mobility • Graph Neural Networks

🌟 Currently Working On:

• National Key R&D Program of China: Developing multimodal data fusion pipeline for automatic city-scale green performance model generation
• Master's Thesis: Urban carbon emission simulation using multimodal data fusion (Nanjing case study)

📝 Recent Publications:

• "Decoding the 24-hour city" - ISOCARP2025 Congress (accepted)(1st author)
• "From pixels to predicates" - CAADRIA2026 Conference (abstract accepted; full paper submitted)(1st author)
• "Chinese Superblocks Regeneration" - CAADRIA2026 Conference (abstract accepted; full paper submitted)(2nd author)
• "Research on regional urban development level based on club convergence phenomenon" - in Proceedings of the China Urban Planning Annual Conference 2024 (Pulished)(1st author)

🛠️ Tech Stack:

• Languages: Python
• AI/ML: PyTorch, Deep Learning, Graph Neural Networks
• Urban Analysis: QGIS, ArcGIS Pro, Remote Sensing
• Tools: Git, ChatGPT, Claude Code, Cursor

🏙️ Passionate about bridging the gap between urban planning and artificial intelligence to create smarter, more sustainable cities.

📫 Reach me: lyl_arch@seu.edu.cn