地理计算与可持续发展

姓       名:曹瑞(香港理工大学)

职       称:研究助理教授

研究方向:城市计算与空间智能

电子邮箱:rucao@polyu.edu.hk

个人简介

曹瑞,香港理工大学土地测量及地理资讯学系研究助理教授。武汉大学工学学士与硕士,英国诺丁汉大学哲学博士。研究方向为城市计算与空间智能。发表SCI/SSCI检索论文20余篇(含领域内权威期刊Featured Article及ESI高引论文)。主持和参与国家自然科学基金、微软、腾讯等资助的多项科研项目。担任国家自然科学基金通讯评审专家以及20余本国内外权威期刊审稿人。


代表性科研课题

1. 基于多模态表征学习的高密度城市混合功能多层次识别方法, 国家自然科学基金青年基金项目, 2022-2024年,主持,在研

2. 面向气候变化的局部气候区自动化识别, 微软 AI for Earth 项目,2021-2022年,主持,结题


代表论文及著作

1.R. Cao, C. Liao, Q. Li, W. Tu, R. Zhu, N. Luo, G. Qiu, W. Shi. (2023) “Integrating Satellite and Street-level Images for Local Climate Zone Mapping”. International Journal of Applied Earth Observation and Geoinformation,119:103323.

2.S. Gong, X. Dong, K. Wang, B. Lei, Z. Jia, J. Qin, C. Roadknight, Y. Liu, R. Cao*. (2023) “Agent-based Modeling with Geographical Weighted Calibration for Intra-urban Activities Simulation Using Taxi Trajectory Data”. International Journal of Applied Earth Observation and Geoinformation.

3.Q. Li#, R. Cao#, J. Zhu, X. Hou, J. Liu, S. Jia, Q. Li, G. Qiu. (2022) “Improving synthetic 3D model-aided indoor image localization via domain adaptation”, ISPRS Journal of Photogrammetry and Remote Sensing, 183:66-78.

4.D. Chen, W. Tu, R. Cao, T. Shi, Y. Zhang, B. He, C. Wang, Q. Li. (2022) “A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data”, International Journal of Applied Earth Observation and Geoinformation, 106: 102661.

5.T. Zhao, Z. Huang, W. Tu, B. He, R. Cao, J. Cao, M. Li. (2022) “Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction.” Computers, Environment and Urban Systems, 94: 101776.

6.R. Cao, W. Tu, C. Yang, Q. Li, J. Liu, J. Zhu, Q. Zhang, Q. Li, G. Qiu. (2020) “Deep Learning-based Remote and Social Sensing Data Fusion for Urban Region Function Recognition”. ISPRS Journal of Photogrammetry and Remote Sensing, 163: 82-97.

7.R. Cao, Q. Zhang, J. Zhu, Q. Li, Q. Li, B. Liu, G. Qiu. (2020)“Enhancing remote sensing image retrieval using a triplet deep metric learning network”. International Journal of Remote Sensing, 41(2): 740-751.

8.J. Liu, Q. Li, R. Cao, W. Tang, G. Qiu. (2020)“MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation”. ISPRS Journal of Photogrammetry and Remote Sensing, 166: 255-267.

9.R. Cao, J. Zhu, W. Tu, Q. Li, J. Cao, B. Liu, Q. Zhang, and G. Qiu. (2018)“Integrating aerial and street view images for urban land use classification”. Remote Sensing, 10(10): 1553.

10.W. Tu, R. Cao, Y. Yue, B. Zhou, Q. Li, and Q. Li. (2018) “Spatial variations in urban public ridership derived from GPS trajectories and smart card data”. Journal of Transport Geography, 69: 45-57.