3 papers
cs.LG2026
FlexCausal: Flexible Causal Disentanglement via Structural Flow Priors and Manifold-Aware Interventions
Yutao Jin, Yuang Tao, Junyong Zhai
Causal Disentangled Representation Learning(CDRL) aims to learn and disentangle low dimensional representations and their underlying causal structure from observations. However, ex…
cs.AI2025
Cross-modal Causal Intervention for Alzheimer's Disease Prediction
Yutao Jin, Haowen Xiao, Junyong Zhai +3
Mild Cognitive Impairment (MCI) serves as a prodromal stage of Alzheimer's Disease (AD), where early identification and intervention can effectively slow the progression to dementi…
cs.LG2025
Understanding the Design Principles of Link Prediction in Directed Settings
Jun Zhai, Muberra Ozmen, Thomas Markovich
Link prediction is a widely studied task in Graph Representation Learning (GRL) for modeling relational data. The early theories in GRL were based on the assumption of a symmetric…