Ce Hou

侯策

AI for Sustainable Urban Development

CH

About

Hi, I'm Ce Hou 👋. I am currently a Ph.D. candidate at UST Logo Hong Kong University of Science and Technology and a Visiting Scholar at PKU Logo Peking University, supervised by Prof. Fan Zhang and Prof. Sen Li. I received my Bachelor's degree from WHU Logo Wuhan University and my Master's degree from UCL Logo University College London. Starting in March 2026, I will be a Visiting Student at UC Berkeley Logo University of California, Berkeley, working with Prof. Lu Liang. For more background information, please refer to my CV.

🔬 My research interest lies in: Leveraging urban multi-modal data and advanced AI methods (e.g., Large Language Models) to support sustainable urban development

Latest News

2026.01

I was elected as CPGIS BOD Student Member!

🗳️ Honored to be elected as a Student Member of the Board of Directors (BOD) for CPGIS. Thank you to everyone who has supported me. Looking forward to serving the global GIS community!

2025.12

A new paper published in npj Urban Sustainability

📘 Got one paper as co-author accepted to npj Urban Sustainability.

2025.12

I got a visiting student position at UC Berkeley!

🎉 I got a visiting student position at UC Berkeley!

Research

Selected Publications

View the full list of my publications on Google Scholar

Deciphering exterior: building energy efficiency prediction with emerging urban big data

Deciphering exterior: building energy efficiency prediction with emerging urban big data

TBD

Authors: Maoran Sun, Ce Hou, Qiaosi Li, Fan Zhang, Ronita Bardhan, Qunshan Zhao*

Urban Analysis
Deep Learning
Multi-source geo-localization in urban built environments for crowd-sourced images by contrastive learning

Multi-source geo-localization in urban built environments for crowd-sourced images by contrastive learning

A contrastive learning approach for multi-source geo-localization in urban built environments.

Authors: Qianbao Hou, Ce Hou, Fan Zhang, Qihao Weng*

Geo-localization
Deep Learning
Contrastive Learning
Urban sensing in the era of large language models

Urban sensing in the era of large language models

TBD

Authors: Ce Hou, Fan Zhang*, Yong Li, Haifeng Li, Gengchen Mai, Yuhao Kang, Ling Yao, Wenhao Yu, Yao Yao, Song Gao, Min Chen, Yu Liu

LLM
Urban Sensing
Transferred bias uncovers the balance between the development of physical and socioeconomic environments of cities

Transferred bias uncovers the balance between the development of physical and socioeconomic environments of cities

TBD

Authors: Ce Hou, Fan Zhang*, Yuhao Kang, Song Gao, Yong Li, Fábio Duarte, Sen Li

Street View Images
CV
Transfer Learning
Measuring solar radiation and spatio-temporal distribution in different street network direction through solar trajectories and street view images

Measuring solar radiation and spatio-temporal distribution in different street network direction through solar trajectories and street view images

TBD

Authors: Lei Wang, Ce Hou, Yecheng Zhang, Jie He*

Urban Analysis
Street View Images

Skills

Python
PyTorch
vLLM
ArcGIS
QGIS
Google Earth Engine

Awards & Honors

2025

Overseas Research Award, HKUST

2024

Best Poster Award, the 2nd Research Summit of Urban Science and Human Dynamics

2023

Creativity Award, Research Summit of Urban Science and Human Dynamics

2022

Bezos/Musk Prize for Entrepreneurial Potential in Knight Frank Dubai Housing Data Hackathon

2021

Outstanding Graduate Student, Wuhan University

Academic Services

Journal Reviewer:
Scientific Data
IJGIS
CEUS
Humanity and Social Science Communications
Scientific Reports
Journal of Urban Technology
Journal of Asian Architecture and Building Engineering
Computational Urban Science
Teaching Assistant:
2024-25 Spring

Introduction to Smart City Economics (CIVL4640)

The Hong Kong University of Science and Technology
2023-24 Fall

Geospatial Science & Technology for Smart City (CIVL4100U)

The Hong Kong University of Science and Technology
Contact

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