3 papers
cs.LG2025
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
Yujia Lou, Jie Liu, Yuan Sheng +3
This study proposes a method for imbalanced data classification based on deep probabilistic graphical models (DPGMs) to solve the problem that traditional methods have insufficient…
cs.GR2024
3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation
Jiaming Peng, Xinhai Chen, Jie Liu
Mesh generation is a crucial step in numerical simulations, significantly impacting simulation accuracy and efficiency. However, generating meshes remains time-consuming and requir…
cs.CV2024
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution
Wenting Chen, Jie Liu, Tommy W. S. Chow +1
Pathology image are essential for accurately interpreting lesion cells in cytopathology screening, but acquiring high-resolution digital slides requires specialized equipment and l…