| 2025 | ICML | Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport. | Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao |
| 2025 | IJCAI | Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. | Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo |
| 2024 | AAAI | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. | Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng |
| 2024 | ICML | Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. | Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao |
| 2024 | ICML | Reducing Balancing Error for Causal Inference via Optimal Transport. | Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao |
| 2023 | CIKM | Generalization Bound for Estimating Causal Effects from Observational Network Data. | Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao |