| 2025 | CSCWD | Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree. | Ruichu Cai, Ying Shen, Zhengming Chen, Feng Xie, Yu Xiang, Zhifeng Hao |
| 2025 | ICLR | Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. | Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang |
| 2025 | ICML | 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 |
| 2025 | ICML | Extracting Rare Dependence Patterns via Adaptive Sample Reweighting. | Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | MICCAI | RadGS-Reg: Registering Spine CT with Biplanar X-Rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration. | Ao Shen, Xueming Fu, Junfeng Jiang, Qiang Zeng, Ye Tang, Zhengming Chen, Luming Nong, Feng Wang, Shaohua Kevin Zhou |
| 2024 | AAAI | Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. | Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao |
| 2024 | AAAI | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | Automating the Selection of Proxy Variables of Unmeasured Confounders. | Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng |
| 2023 | IJCAI | Some General Identification Results for Linear Latent Hierarchical Causal Structure. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai |
| 2022 | AAAI | Identification of Linear Latent Variable Model with Arbitrary Distribution. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai |
| 2022 | ICML | Identification of Linear Non-Gaussian Latent Hierarchical Structure. | Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang |