Zhifeng Hao

11

Papers

18

Total Citations

Papers (11)

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

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning

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

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

Reducing Balancing Error for Causal Inference via Optimal Transport

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

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering