Chaoyi Hu

University of Tokyo

SCHOLARLY PAPERS

8

DOWNLOADS

281

TOTAL CITATIONS

3

Scholarly Papers (8)

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1.

Efficient Analysis of Airflow Distribution Under Multiple Wind Directions Using a Physics-Informed Neural Network: Mean Flow Around Two-Dimensional Isolated Building

Number of pages: 24 Posted: 19 Sep 2024
Chaoyi Hu, Hongyuan Jia, Chao Lin, Chenghao Wei, Yicheng Wang and Hideki Kikumoto
University of Tokyo, University of Macau - Department of Civil and Environment Engineering, University of Tokyo - Institute of Industrial Science, Kanto Gakuin University, affiliation not provided to SSRN and University of Tokyo - Institute of Industrial Science
Downloads 53 (838,461)
Citation 1

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Deep learning, physics-informed neural network, airflow distribution, wind direction, isolated building

2.

Sensor Configuration Optimization for Airflow Estimation in a Building Group Model Based on QR Decomposition Method

Number of pages: 24 Posted: 03 May 2023
Hongyuan Jia, Chaoyi Hu and Hideki Kikumoto
University of Macau - Department of Civil and Environment Engineering, University of Tokyo and University of Tokyo - Institute of Industrial Science
Downloads 52 (846,178)

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Sensor Configuration Optimization, QR Decomposition, Proper Orthogonal Decomposition, Linear Stochastic Estimation, Flow Estimation, Urban Canopy Model

3.

Fast Estimation of Airflow Distribution in an Urban Model Using Generative Adversarial Networks With Limited Sensing Data

Number of pages: 19 Posted: 28 Jul 2023
Chaoyi Hu, Hideki Kikumoto, Bingchao Zhang and Hongyuan Jia
University of Tokyo, University of Tokyo - Institute of Industrial Science, Hong Kong University of Science & Technology (HKUST) and University of Macau - Department of Civil and Environment Engineering
Downloads 51 (854,104)
Citation 2

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Machine Learning, Generative adversarial networks, Limited sensors, Urban airflow.

4.

Estimation of Instantaneous Airflow Distribution in Cubic Building Group Model Using Multi-Time-Delay LSE- POD

Number of pages: 19 Posted: 30 Jan 2023
Chaoyi Hu, Hongyuan Jia and Hideki Kikumoto
University of Tokyo, University of Macau - Department of Civil and Environment Engineering and University of Tokyo - Institute of Industrial Science
Downloads 38 (970,942)

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Proper Orthogonal Decomposition, Linear Stochastic Estimation, Limited sensors, Multi-time-delay

5.

Effects of Sensor Configuration Optimization on Airflow Estimation in Urban Environment: A Case Study with a Building Group Model

Number of pages: 40 Posted: 07 Jun 2023
Hongyuan Jia, Chaoyi Hu and Hideki Kikumoto
University of Macau - Department of Civil and Environment Engineering, University of Tokyo and University of Tokyo - Institute of Industrial Science
Downloads 29 (1,067,233)

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Sensor Configuration Optimization, QR Decomposition, Proper Orthogonal Decomposition, Linear Stochastic Estimation, Flow Estimation, Urban Canopy Model

6.

Spatial Thermal Environment Changes in Tokyo: Fusion of Meteorological Local Analysis and Observation Data Over Recent 33 Years

Number of pages: 34 Posted: 08 May 2024
Xiang Wang, Hongyuan Jia, Keisuke NAKAO, Dun ZHU, Chaoyi Hu and Hideki Kikumoto
University of Tokyo, University of Macau - Department of Civil and Environment Engineering, affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo - Institute of Industrial Science
Downloads 24 (1,126,782)

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local objective analysis, data fusion, POD, LSE, Climate change, Heat Stress

7.

Decadal Assessment of Local Climate Fusing Meteorological Analysis and Observation Data: Thermal Environment Changes in the Tokyo Area

Number of pages: 51 Posted: 17 Sep 2024
Xiang Wang, Hongyuan Jia, Keisuke NAKAO, Dun ZHU, Chaoyi Hu and Hideki Kikumoto
University of Tokyo, University of Macau - Department of Civil and Environment Engineering, affiliation not provided to SSRN, University of Tokyo, University of Tokyo and University of Tokyo - Institute of Industrial Science
Downloads 23 (1,139,239)

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local objective analysis, data fusion, POD, LSE, climate change, heat stress

8.

Data-Driven Accuracy Enhancement of Cup Anemometers in Urban Pedestrian-Level Wind Measurements Combining Large-Eddy Simulation Database

Number of pages: 38 Posted: 14 Apr 2025
Rongmao Li, Hongyuan Jia, Chaoyi Hu, Xiang Wang, Tsubasa Okaze and Hideki Kikumoto
University of Tokyo, University of Macau - Department of Civil and Environment Engineering, University of Tokyo, University of Tokyo, Institute of Science Tokyo and University of Tokyo - Institute of Industrial Science
Downloads 11 (1,280,103)

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Pedestrian level wind, Sensor, Cup anemometer, field measurement, large-eddy simulation, Machine learning.