5 papers
Combining deep learning and crowdsourcing geo-images to predict housing quality in rural China
Weipan Xu, Yu Gu, Yifan Chen +3
Housing quality is an essential proxy for regional wealth, security and health. Understanding the distribution of housing quality is crucial for unveiling rural development status…
A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings
Ying Li, Weipan Xu, Haohui Chen +2
Mapping new and old buildings are of great significance for understanding socio-economic development in rural areas. In recent years, deep neural networks have achieved remarkable…
China's First Workforce Skill Taxonomy
Weipan Xu, Xiaozhen Qin, Xun Li +5
China is the world's second largest economy. After four decades of economic miracles, China's economy is transitioning into an advanced, knowledge-based economy. Yet, we still lack…
The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth
Weipan Xu, Haohui'Caron' Chen, Enrique Frias-Martinez +2
The compact city, as a sustainable concept, is intended to augment the efficiency of urban function. However, previous studies have concentrated more on morphology than on structur…
Automation Impacts on China's Polarized Job Market
Haohui 'Caron' Chen, Xun Li, Morgan Frank +4
When facing threats from automation, a worker residing in a large Chinese city might not be as lucky as a worker in a large U.S. city, depending on the type of large city in which…