Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Kang, Yuhao"'
Autor:
Liang, Xiaofan, Kang, Yuhao
Publikováno v:
Urban Informatics and Future Cities, 71-91 (2021)
With the rise of geospatial big data, new narratives of cities based on spatial networks and flows have replaced the traditional focus on locations. While plenty of research have empirically analyzed network structures, there lacks a state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2406.14692
We introduce $\textit{InteractiveVideo}$, a user-centric framework for video generation. Different from traditional generative approaches that operate based on user-provided images or text, our framework is designed for dynamic interaction, allowing
Externí odkaz:
http://arxiv.org/abs/2402.03040
The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning. A growing number of scholars from cartography have demonstrated
Externí odkaz:
http://arxiv.org/abs/2312.07901
Researchers are constantly leveraging new forms of data with the goal of understanding how people perceive the built environment and build the collective place identity of cities. Latest advancements in generative artificial intelligence (AI) models
Externí odkaz:
http://arxiv.org/abs/2306.04662
The rapid advancement of artificial intelligence (AI) such as the emergence of large language models including ChatGPT and DALLE 2 has brought both opportunities for improving productivity and raised ethical concerns. This paper investigates the ethi
Externí odkaz:
http://arxiv.org/abs/2304.10743
Autor:
Kang, Yuhao, Wu, Kunlin, Gao, Song, Ng, Ignavier, Rao, Jinmeng, Ye, Shan, Zhang, Fan, Fei, Teng
Publikováno v:
International Journal of Geographical Information Science, Year 2022
Spatial clustering has been widely used for spatial data mining and knowledge discovery. An ideal multivariate spatial clustering should consider both spatial contiguity and aspatial attributes. Existing spatial clustering approaches may face challen
Externí odkaz:
http://arxiv.org/abs/2203.09611
Publikováno v:
In Expert Systems With Applications 15 November 2024 254
Publikováno v:
In Optical Materials October 2024 156
Publikováno v:
In Cities September 2024 152
Autor:
Zhang, Guoyang, Kang, Yuhao, Dong, Jizhao, Shi, Dingyi, Xiang, Yu, Gao, Haihan, Lin, Zhiqi, Wei, Xiaojuan, Ding, Ren, Fan, Beibei, Zhang, Hongmei, Zhu, Tonghe, Wang, Liren, Yan, Xiaoyu
Publikováno v:
In Bioactive Materials September 2024 39:354-374