Generalization Bound for Estimating Causal Effects from Observational Network Data. - Ruichu Cai; Zeqin Yang; Weilin Chen 001; Yuguang Yan; Zhifeng Hao (CIKM, 2023)

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. - Yuguang Yan; Zeqin Yang; Weilin Chen 001; Ruichu Cai; Zhifeng Hao; Michael Kwok-Po Ng (AAAI, 2024)

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. - Weilin Chen 001; Ruichu Cai; Zeqin Yang; Jie Qiao; Yuguang Yan; Zijian Li 001; Zhifeng Hao (ICML, 2024)

Reducing Balancing Error for Causal Inference via Optimal Transport. - Yuguang Yan; Hao Zhou; Zeqin Yang; Weilin Chen 001; Ruichu Cai; Zhifeng Hao (ICML, 2024)

Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. - Zeqin Yang; Weilin Chen 001; Ruichu Cai; Yuguang Yan; Zhifeng Hao; Zhipeng Yu; Zhichao Zou; Zhen Peng; Jiecheng Guo (CoRR, 2024)

Long-term causal effects estimation via latent surrogates representation learning. - Ruichu Cai; Weilin Chen 001; Zeqin Yang; Shu Wan 002; Chen Zheng; Xiaoqing Yang; Jiecheng Guo (Neural Networks, 2024)

Treatment Effect Estimation for Exponential Family Outcomes using Neural Networks with Targeted Regularization. - Jiahong Li; Zeqin Yang; Jiayi Dan; Jixing Xu; Zhichao Zou; Peng Zhen 001; Jiecheng Guo (CoRR, 2025)

Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination. - Weilin Chen 001; Ruichu Cai; Junjie Wan; Zeqin Yang; José Miguel Hernández-Lobato (CoRR, 2025)

Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. - Ruichu Cai; Junjie Wan; Weilin Chen 001; Zeqin Yang; Zijian Li 001; Peng Zhen 001; Jiecheng Guo (CoRR, 2025)