Chen, Zhengming

15 publications

ICLR 2026 Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables Yewei Xia, Zhengming Chen, Haoyue Dai, Fuhong Wang, Yixin Ren, Yiqing Li, Kun Zhang, Shuigeng Zhou

ICLR 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang

IJCAI 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai, Kaitao Zheng, Junxian Huang, Zijian Li, Zhengming Chen, Boyan Xu, Zhifeng Hao

IJCAI 2025 Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen

ICML 2025 Extracting Rare Dependence Patterns via Adaptive Sample Reweighting Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang

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

ICML 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng

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

JMLR 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang

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

ICLR 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang

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

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

ICML 2022 Identification of Linear Non-Gaussian Latent Hierarchical Structure Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang