Yile Chen

Dr. Yile Chen

Department of Architecture, Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, Macao
orcid
Ph.D. in Architecture, Assistant professor, Master's Supervi...

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 May 2026 in Journal of Asian Architecture and Building Engineering
Verified
Journal Article
Open access
Yile ChenYile Chen
Yile Chen
Qingnian DengQingnian Deng
Qingnian Deng
Jingwei LiangJingwei Liang
Jingwei Liang
Yuhao HuangYuhao Huang
Yuhao Huang
Liang ZhengLiang Zheng
Liang Zheng
Jiaying FangJiaying Fang
Jiaying Fang

13 June 2024 in Island Studies Journal
Verified
Journal Article
Open access
PDF file
Yile ChenYile Chen
Yile Chen
Liang ZhengLiang Zheng
Liang Zheng
JZJianyi Zheng
Jianyi Zheng
In the 16 th and 17 th centuries, under the influence of the Portuguese Empire’s overseas expansion and cultural integration, the island city of Macau became an important international trading port in the Eastern Sea, with close ties to the Asian port cities governed by Portugal. This study introduces a new method for comparing urban morphological layouts using machine learning and investigates the potential benefits of combining urban morphological analysis with machine learning techniques. In addition, a combination of urban morphology theory and machine learning is used to excise samples of urban morphology from Portuguese urban geographical information maps. The morphological characteristics of port city areas are further extracted, and training labels for typical Portuguese urban textures are established. Using the YOLOv4 object detection algorithm, the results are compared with the urban textures of typical island and port cities of the Asian Silk Road—Goa in India, Malacca in Malaysia, Macau in China, and Dili in Timor-Leste—revealing the similarities and differences among the port cities in Asia influenced by traditional Portuguese urban practices. The results reveal the relationship between maritime trade and urban form.



4 December 2023 in Journal of Asian Architecture and Building Engineering
Verified
Journal Article
Open access
Yile ChenYile Chen
Yile Chen
Lina YanLina Yan
Lina Yan
Liang ZhengLiang Zheng
Liang Zheng

2 November 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Yile ChenYile Chen
Yile Chen
Liang ZhengLiang Zheng
Liang Zheng
Junxin SongJunxin Song
Junxin Song
Linsheng HuangLinsheng Huang
Linsheng Huang
JZJianyi Zheng
Jianyi Zheng
The COVID-19 pandemic has led to a re-examination of the urban space, and the field of planning and architecture is no exception. In this study, a conditional generative adversarial network (CGAN) is used to construct a method for deriving the distribution of urban texture through the distribution hotspots of the COVID-19 epidemic. At the same time, the relationship between urban form and the COVID-19 epidemic is established, so that the machine can automatically deduce and calculate the appearance of urban forms that are prone to epidemics and may have high risks, which has application value and potential in the field of planning and design. In this study, taking Macau as an example, this method was used to conduct model training, image generation, and comparison of the derivation results of different assumed epidemic distribution degrees. The implications of this study for urban planning are as follows: (1) there is a correlation between different urban forms and the distribution of epidemics, and CGAN can be used to predict urban forms with high epidemic risk; (2) large-scale buildings and high-density buildings can promote the distribution of the COVID-19 epidemic; (3) green public open spaces and squares have an inhibitory effect on the distribution of the COVID-19 epidemic; and (4) reducing the volume and density of buildings and increasing the area of green public open spaces and squares can help reduce the distribution of the COVID-19 epidemic.
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