Zhengming Chen

According to our database, Zhengming Chen authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Testing Conditional Independence Between Latent Variables by Independence Residuals.

Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang

IEEE Trans. Neural Networks Learn. Syst., March, 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

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Extracting Rare Dependence Patterns via Adaptive Sample Reweighting.

Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

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

J. Mach. Learn. Res., 2024

When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting.

Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Automating the Selection of Proxy Variables of Unmeasured Confounders.

Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions.

Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang

Neurocomputing, March, 2023

Some General Identification Results for Linear Latent Hierarchical Causal Structure.

Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models.

Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang

Entropy, 2022

Identification of Linear Non-Gaussian Latent Hierarchical Structure.

Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang

Proceedings of the International Conference on Machine Learning, 2022

Identification of Linear Latent Variable Model with Arbitrary Distribution.

Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022