no code implementations • 13 Dec 2023 • Yuanbo Wen, Tao Gao, ZiQi Li, Jing Zhang, Ting Chen
Haze obscures remote sensing images, hindering valuable information extraction.
1 code implementation • 6 Dec 2023 • ZiQi Li
This paper introduces GeoShapley, a game theory approach to measuring spatial effects in machine learning models.
no code implementations • 19 Sep 2023 • Yuanbo Wen, Tao Gao, ZiQi Li, Jing Zhang, Ting Chen
This module leverages dimension-wise queries that are independent of the input features and employs global context-aware attention (GCA) to capture essential features while avoiding the entanglement of redundant or irrelevant information.
1 code implementation • 25 Aug 2023 • Fan Lei, Yuxin Ma, Stewart Fotheringham, Elizabeth Mack, ZiQi Li, Mehak Sachdeva, Sarah Bardin, Ross Maciejewski
As analysts create their spatial models, our framework flags potential issues with model parameter selections, utilizes template-based text generation to summarize model outputs, and links with external knowledge repositories to provide annotations that help to explain the model results.
1 code implementation • 25 Jul 2023 • Kaixin Zhang, Hongzhi Wang, Yabin Lu, ZiQi Li, Chang Shu, Yu Yan, Donghua Yang
Although both data-driven and hybrid methods are proposed to avoid this problem, most of them suffer from high training and estimation costs, limited scalability, instability, and long-tail distribution problems on high-dimensional tables, which seriously affects the practical application of learned cardinality estimators.