Yiding Wang

Ph.D. Student in Mathematics, Xi'an Jiaotong University

Research Interests

• Causal Discovery: Granger causality, structural causal models, constraint-based and score-based methods
• Brain Effective Connectivity: Dynamic effective connectivity networks, fMRI-based causal inference
• Identifiability: Identifiability conditions for causal models, structural identifiability analysis
• Continuous-Time Modeling: Neural ODE/SDE, latent continuous-time dynamics, irregular time series

Selected Publications

Identifiable Signed Causal Learning via Latent Stochastic Differential Equations for Inferring Brain Dynamic Effective Connectivity [Code]

Yiding Wang, Chen Qiao
IEEE Transactions on Medical Imaging, Under Review.

Continuous-Time Causal Distribution Learning with Identifiability for Brain Dynamic Effective Connectivity Inference [Abstract] [Code]

Yiding Wang, Longyun Chen, Chen Qiao
Medical Image Analysis, 112 (2026) 104124.

Time-Reversal Enhanced Dynamic Causality Distribution Learning and Its Application in Identifying Dynamic ECNs in MCI Patients [Abstract] [Code]

Yiding Wang, Chao Jin, Jian Yang, Chen Qiao
IEEE Transactions on Biomedical Engineering, 73(1) (2026), 180-190.

A Deep Spatio-Temporal Architecture for Dynamic ECN Analysis with Granger Causality based Causal Discovery [Abstract]

Faming Xu (co-first author), Yiding Wang (co-first author), Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang, Chen Qiao
Pattern Recognition, 172 (2026) 112346.