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Dr. Shuai ZhangShuai Zhang

(he)

PhD Student

Ai4City-Lab, Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou)

Professional Summary

I am currently a Ph.D. candidate at the Ai4City-Lab, Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), under the supervision of Prof. Wufan Zhao and Prof. Yuan Liu. Prior to this, I obtained my Master’s degree from the School of Geospatial Engineering and Science, Sun Yat-sen University, where I was advised by Prof. Wuming Zhang and Prof. Yiping Chen.

My research focuses on 3D visual perception, intelligent interpretation and processing of point cloud data, and multi-modal urban foundation models. I am particularly interested in bridging geometric understanding with semantic reasoning in large-scale urban environments, with an emphasis on open-vocabulary learning, training-free paradigms, and cross-modal fusion between 2D and 3D data.

My goal is to develop scalable, interpretable, and generalizable AI systems for urban analysis, enabling applications such as digital twin construction, urban scene understanding, and intelligent infrastructure management.

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Education

PhD in UGOD (URBAN GOVERNANCE AND DESIGN)

2024-09
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The Hong Kong University of Science and Technology (Guangzhou).

M.S in Remote Sensing and Geoinformation Engineering

2021-09
2024-06

SUN YAT-SEN UNIVERSITY

B.E in Surveying and Mapping Engineering

2017-09
2021-06

Shandong University Of Science and Technology

Interests

3D Vision and Geometric Representation City-Scale 3D Scene Modeling Point Cloud Learning and Feature Encoding 3D Scene Parsing and Structural Analysis Open-Vocabulary 3D Segmentation Open-World Semantic Inference in 3D Multimodal Urban Data Fusion Urban Foundation Models and Spatial AI Training-Free and Data-Efficient Learning Paradigms Geometry-Guided Spatial Reasoning Forestry Point Cloud Analysis and Tree Modeling

📚 My Research

My research explores how cities can be understood through multimodal intelligence. I focus on integrating heterogeneous data—particularly 3D point clouds, imagery, and text—to build unified representations of complex urban environments. My current research interests include:

3D Urban Perception: Combining geometric cues with visual and linguistic data for scalable, city-level scene understanding.

Urban Foundation Models: Leveraging vision-language models to develop training-efficient, open-vocabulary paradigms for spatial reasoning.

Intelligent City Systems: Moving beyond isolated tasks to build unified frameworks for large-scale infrastructure analysis.

Feel free to reach out for collaboration! 😃

Featured Publications

Large Language Models

An example preprint / working paper

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Dr. Shuai Zhang

• Apr 7, 2019 • 1 min read

Large Language Models

An example conference paper

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.

Dr. Shuai Zhang

• Jul 1, 2013 • 1 min read

Recent Publications

Dr. Shuai Zhang (2019). An example preprint / working paper.

Preprint Code Slides Dataset Poster Source Document Video Custom Link Preprint

Dr. Shuai Zhang

Equal contribution

, Robert Ford

Equal contribution

(2015). An example journal article. Journal of Source Themes, 1(1).