17 citations · 31 across the 4 of their papers we have counts for
4 papers
Medical Federated Model with Mixture of Personalized and Sharing Components
Yawei Zhao, Qinghe Liu, Xinwang Liu +1
Although data-driven methods usually have noticeable performance on disease diagnosis and treatment, they are suspected of leakage of privacy due to collecting data for model train…
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
Yuxiao Cheng, Lianglong Li, Tingxiong Xiao +4
Causal discovery in time-series is a fundamental problem in the machine learning community, enabling causal reasoning and decision-making in complex scenarios. Recently, researcher…
CUTS: Neural Causal Discovery from Irregular Time-Series Data
Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao +4
Causal discovery from time-series data has been a central task in machine learning. Recently, Granger causality inference is gaining momentum due to its good explainability and hig…
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Yawei Zhao, Chen Yu, Peilin Zhao +3
Decentralized Online Learning (online learning in decentralized networks) attracts more and more attention, since it is believed that Decentralized Online Learning can help the dat…