no code implementations • 10 Jan 2024 • Shuyi Gu, Zhenghua Luo, Lin Hu, Yilin Zhang, Junxiong Guo
The demonstration of the noise suppression in the iteration process and feature enhancement supports the effectiveness of the mapping information model.
no code implementations • 16 Sep 2023 • Yuelei Wang, Ting Zhang, Liangjin Zhao, Lin Hu, Zhechao Wang, Ziqing Niu, Peirui Cheng, Kaiqiang Chen, Xuan Zeng, Zhirui Wang, Hongqi Wang, Xian Sun
It is combined by the Transformer module as a low-pass filter to extract global features of RS images through a dual-branch structure, and the CNN module as a stacked high-pass filter to extract fine-grained details effectively.
no code implementations • 15 Sep 2023 • Lin Hu, Matthew Kovach, Anqi Li
We study how a decision maker (DM) learns about the biases of unfamiliar information sources.
no code implementations • 21 Apr 2021 • Lin Hu, Anqi Li, Xu Tan
We develop a rational inattention theory of echo chamber, whereby players gather information about an uncertain state by allocating limited attention capacities across biased primary sources and other players.
no code implementations • 3 Sep 2020 • Anqi Li, Lin Hu
We study a model of electoral accountability and selection whereby heterogeneous voters aggregate incumbent politician's performance data into personalized signals through paying limited attention.
no code implementations • 24 Oct 2019 • Lin Hu, Anqi Li, Ilya Segal
We study how personalized news aggregation for rational inattentive voters (NARI) affects policy polarization and public opinion.