文章信息 揭示城市建筑功能的客观测度和主观感知中的偏见：一种针对城市空间感知的机器学习方法 Zhang J, Yu Z, Li Y, Wang X. Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception. Land. 2023; 12(7):1322. https://doi.org/10.3390/land12071322

Jiaxin Zhang, Tomohiro Fukuda, Nobuyoshi Yabuki & Yunqin Li. (2022). SYNTHESIZING STYLE-SIMILAR RESIDENTIAL FACADE FROM SEMANTIC LABELING ACCORDING TO THE USER-PROVIDED EXAMPLE. CAADRIA2023 (EI会议).

ICE Lab 2022年终小结

实验室近况和即将到来的事件

文章信息 整合GIS、深度学习和环境传感器，对城市街道步行能力进行多标准评估 Li, Y., Yabuki, N.*, & Fukuda, T. (2022). Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability. Landscape and Urban Planning.

2022年8月27日上午9点，卡内基梅隆大学（CMU）黄培德博士候选人、新加坡科技局（A*star）陈豪研究员受邀在数字城市与人居环境实验室进行海外留学经历分享与学术报告。

Hu, J., Zhang, J., Li, Y., 2022. Exploring the spatial and temporal driving mechanisms of landscape patterns on habitat quality in a city undergoing rapid urbanization based on GTWR and MGWR: The case of Nanjing, China. Ecological Indicators 143, 109333.