Cheng Ouyang

Examining the impact of randomness on system behavior through parabolic Anderson models.

New methods combine ECG data and clinical reports for better heart condition diagnosis.

This explores how probabilistic approaches improve contrastive learning in machine learning.

A new diffusion model framework improves image restoration from degraded versions.

Exploring how curvature and randomness affect heat behavior on special surfaces.