1.3k citations
- Chinese Academy of SciencesCN15 papers
- University of Chinese Academy of SciencesCN5 papers
- Tsinghua UniversityCN4 papers
- Lancaster UniversityGB3 papers
- University of SouthamptonGB3 papers
- Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationCN2 papers
- Laboratoire des Sciences du Climat et de l'EnvironnementFR2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Southern University of Science and TechnologyCN2 papers
- UK Centre for Ecology & HydrologyGB2 papers
- University at Buffalo, State University of New YorkUS2 papers
- University of California, IrvineUS2 papers
18 papers
GRAND-HC: Graph-Refined Author Name Disambiguation
Yuanhao Sun, Zhouyang Jin, Yi Xu +5
From-Scratch Name Disambiguation (SND) groups papers sharing an ambiguous name into clusters of distinct real-world authors. Existing methods suffer from two critical limitations:…
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance
Yingkai Zhang, Zeqiang Lai, Tao Zhang +2
Hyperspectral images super-resolution aims to improve the spatial resolution, yet its performance is often limited at high-resolution ratios. The recent adoption of high-resolution…
DRUM: Diffusion-based runoff model for probabilistic flood forecasting
Zhigang Ou, Congyi Nai, Baoxiang Pan +7
Extreme floods pose escalating risks in a changing climate, yet forecasting remains challenging due to peak flow underestimation and high uncertainty. We introduce DRUM, a diffusio…
Intercity Connectivity and Innovation
Xiaofan Liang, César A. Hidalgo, Pierre-Alexandre Balland +2
Urban outputs, from economy to innovation, are known to grow as a power of a city's population. But, since large cities tend to be central in transportation and communication netwo…
Research on the Spatial Data Intelligent Foundation Model
Shaohua Wang, Xing Xie, Yong Li +28
This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussio…
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
Tianyu Zhang, Chengbin Hou, Rui Jiang +4
Node Importance Estimation (NIE) is a task of inferring importance scores of the nodes in a graph. Due to the availability of richer data and knowledge, recent research interests o…