27 citations · 40 across the 5 of their papers we have counts for
5 papers
Reinforcement Learning for Active Matter
Wenjie Cai, Gongyi Wang, Yu Zhang +2
Active matter refers to systems composed of self-propelled entities that consume energy to produce motion, exhibiting complex non-equilibrium dynamics that challenge traditional mo…
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai, Yi Hu, Xiang Qu +4
The rapid advancements in machine learning have made its application to anomalous diffusion analysis both essential and inevitable. This review systematically introduces the integr…
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
Shengchen Zhu, Yiming Chen, Peiying Yu +7
Accurate weather forecasting is essential for understanding and mitigating weather-related impacts. In this paper, we present PuYun, an autoregressive cascade model that leverages…
GenML: A Python Library to Generate the Mittag-Leffler Correlated Noise
Xiang Qu, Hui Zhao, Wenjie Cai +2
Mittag-Leffler correlated noise (M-L noise) plays a crucial role in the dynamics of complex systems, yet the scientific community has lacked tools for its direct generation. Addres…
Semantic Segmentation of Anomalous Diffusion Using Deep Convolutional Networks
Xiang Qu, Yi Hu, Wenjie Cai +4
Heterogeneous dynamics commonly emerges in anomalous diffusion with intermittent transitions of diffusion states but proves challenging to identify using conventional statistical m…