Qiao, Jie

15 publications

ICML 2025 Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang

AAAI 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao

ICML 2024 Doubly Robust Causal Effect Estimation Under Networked Interference via Targeted Learning Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao

AAAI 2024 Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao

NeurIPS 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang

NeurIPS 2024 On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function Yu Xiang, Jie Qiao, Zhefeng Liang, Zihuai Zeng, Ruichu Cai, Zhifeng Hao

AAAI 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao

AAAI 2024 Where and How to Attack? a Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao

IJCAI 2023 Some General Identification Results for Linear Latent Hierarchical Causal Structure Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai

IJCAI 2023 Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao

AAAI 2022 Identification of Linear Latent Variable Model with Arbitrary Distribution Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai

IJCAI 2019 Causal Discovery with Cascade Nonlinear Additive Noise Model Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao

IJCAI 2019 Learning Disentangled Semantic Representation for Domain Adaptation Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao

NeurIPS 2018 Causal Discovery from Discrete Data Using Hidden Compact Representation Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao

AAAI 2018 SELF: Structural Equational Likelihood Framework for Causal Discovery Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao