* Equal contribution.

Preprints

1. Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias

   Zheng Li, Hao Zhang, Ruxin Wang, Ruichu Cai, Kun Zhang, Feng Xie.

   arXiv:2607.19866 PDF Code

Journal

1. Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models

   Xichen Guo*, Zheng Li*, Biwei Huang, Yan Zeng, Zhi Geng, Feng Xie.

   Journal of Machine Learning Research, 2026. PDF Code

Conference

1. A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables

   Zheng Li, Feng Xie, Shenglan Nie, Xichen Guo, Ruxin Wang, Hao Zhang.

   ICML, Seoul, South Korea, 2026. Oral Top 0.71% of 23,918 PDF Code

2. Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables

   Zheng Li, Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng.

   NeurIPS, San Diego, USA, 2025. PDF Code

3. Local Identifying Causal Relations in the Presence of Latent Variables

   Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng.

   ICML, Vancouver, Canada, 2025. 🛠️ Spotlight Top 2.6% of 12,107

4. Local Causal Structure Learning in the Presence of Latent Variables

   Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng.

   ICML, Vienna, Austria, 2024. PDF Code