Yunuo Wu

Sekimoto & Nakai Laboratory

Yunuo Wu

吴雨诺 / 呉雨諾

Doctoral Student

Department of Socio-Cultural Environmental Studies

Graduate School of Frontier Sciences

The University of Tokyo

Spatial InformaticsUrban Decline AnalysisBuilding-level Spatio-temporal ModelingMachine LearningDeep LearningRemote SensingGIS
View ResearchResearch Materials
Yunuo Wu portrait

About

Hi, I’m Yunuo Wu from Beijing, China, a PhD student at The University of Tokyo with an interdisciplinary background in spatial informatics, architecture, urban planning, and landscape architecture. I am an open and energetic person who loves sports, learning new knowledge, and staying close to emerging trends, and this curiosity has been a driving force behind my cross-disciplinary learning and research.

My master’s research estimated the number of vacant houses by integrating satellite embeddings, municipal survey data, and administrative boundary data with deep learning methods.

In my doctoral research, I focus on automated building-level spatio-temporal modeling using spatial information, with the aim of understanding housing change and urban decline at a finer resolution.

I care deeply about both my research and my everyday life, and I hope to create work that is meaningful to society.

Education

  1. The University of Tokyo

    Graduate School of Frontier Sciences, Department of Socio-Cultural Environmental Studies, Doctoral Program

  2. The University of Tokyo

    Graduate School of Frontier Sciences, Department of Socio-Cultural Environmental Studies, Master’s Program

  3. Beijing University of Civil Engineering and Architecture

    Architecture and Urban Planning / Landscape Architecture

    GPA: 3.84/4.0Major Rank: 1/58

Awards

  • Beijing University of Civil Engineering and Architecture Outstanding Student Award, 3 times
  • Beijing University of Civil Engineering and Architecture Scholarship, 6 times
  • Outstanding Graduate of Beijing University of Civil Engineering and Architecture, top 1%
  • Outstanding Graduation Design Award, top 1%
  • Beijing Outstanding Graduate, top 5%
  • National English Competition for College Students (NECCS), Third Prize
  • Finalist Award, International Architecture Competition “Challenge to Navigli Canal”, Milan

Research

My work connects spatial data, AI, remote sensing, and urban studies to model how cities change over time.

Master’s Research

Estimating Vacant Houses Using Deep Learning with Satellite Imagery

  • Used satellite embeddings, municipal survey data, and administrative boundary data.
  • Built deep learning models to estimate the number of vacant houses.
  • Designed and implemented the pipeline for data collection, preprocessing, spatial joins, model adjustment, training, and evaluation.
Vacant House EstimationSatellite ImageryDeep LearningGISJapan

Doctoral Research

Building-level Spatio-temporal Modeling for Understanding Urban Decline

  • Focuses on building-level change, ID inheritance, spatio-temporal modeling, and urban decline analysis.
  • Uses spatial information, building data, remote sensing data, and AI methods.
  • Aims to understand residential change and urban decline processes with finer spatial detail.
Spatial InformaticsBuilding-level ModelingUrban DeclineSpatio-temporal DataAI

Grant / Project

Nationwide Vacant House Analysis Using AI Foundation Models and Multiple Data Sources

  • Supported by The University of Tokyo AI Center Interdisciplinary Research Promotion Grant, FY2024.
  • Analyzes vacant houses across Japan using AI foundation models and multiple data sources.
  • Includes nationwide mapping and trend analysis of vacant house conditions.
AI Foundation ModelsMultiple Data SourcesVacant HousesMappingTrend Analysis

Research Materials

Master Thesis Defense Materials

You can view my master’s thesis defense materials to better understand my research background and methodology.

View Materials
Master Thesis Defense Materials

The slides file is available from the View Slides button.

Extracurricular Activities

2020.09-2021.06

President

Student Union of School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture

2025.04-present

Planning Department Director

Chinese Students and Scholars Association at the University of Tokyo

Selected experience

May Festival xiaolongbao project, Beijing talent exchange event, and University of Tokyo visit program for Shanghai high school students

Event Planning

Academic exchange

Academic exchange event

The University of Tokyo and Shenzhen University

Cultural activities

Singing Competition

Champion twice and runner-up once

Personal interests

Eight years of women’s basketball, skiing, fitness, and hiking

Sports and outdoor activities

Skills

Programming Languages

PythonSQL

Development Tools

PyTorchLinuxLaTeXGit

Design Tools

PhotoshopIllustratorInDesignSketchUpRhino

Spatial Informatics

ArcGISQGISArcSceneFragstats

Languages

Japanese business level / JLPT N1English business level / TOEFL 92Chinese native