Ruichu Cai

19

Papers

33

Total Citations

Papers (19)

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion

Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

Automating the Selection of Proxy Variables of Unmeasured Confounders

Reducing Balancing Error for Causal Inference via Optimal Transport

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning

Causal Discovery from Discrete Data using Hidden Compact Representation

Triad Constraints for Learning Causal Structure of Latent Variables

Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs

SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?

Subspace Identification for Multi-Source Domain Adaptation