| 2026 | ACL | Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness. | Zihan Liang, Ziwen Pan, Ruoxuan Xiong |
| 2026 | KDD | Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization. | Yi He, Anpeng Wu, Ruoxuan Xiong, Yingrong Wang, Kun Kuang |
| 2025 | EMNLP | Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness. | Zihan Liang, Ziwen Pan, Ruoxuan Xiong |
| 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 | Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments. | Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong, Kun Kuang |
| 2025 | ICML | Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation. | Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang |
| 2024 | AAAI | Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. | Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang |
| 2024 | ICML | Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. | Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang |
| 2024 | ICML | Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias. | Baohong Li, Anpeng Wu, Ruoxuan Xiong, Kun Kuang |
| 2023 | AAAI | Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. | Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu |
| 2023 | ICML | Stable Estimation of Heterogeneous Treatment Effects. | Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu |
| 2020 | AAAI | Stable Prediction with Model Misspecification and Agnostic Distribution Shift. | Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li |
| 2018 | KDD | Stable Prediction across Unknown Environments. | Kun Kuang, Peng Cui, Susan Athey, Ruoxuan Xiong, Bo Li |