| GCF: Generalized causal forest for heterogeneous treatment effect estimation in online marketplace S Wan, C Zheng, Z Sun, M Xu, X Yang, H Zhu, J Guo arXiv preprint arXiv:2203.10975, 2022 | 11 | 2022 |
| Long-term causal effects estimation via latent surrogates representation learning R Cai, W Chen, Z Yang, S Wan, C Zheng, X Yang, J Guo Neural Networks 176, 106336, 2024 | 4 | 2024 |
| Spatio-temporal Causal Learning for Streamflow Forecasting S Wan, R Shah, Q Deng, J Sabo, H Liu, KS Candan 2024 IEEE International Conference on Big Data (BigData), 6161-6170, 2024 | 1 | 2024 |
| Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning A Kapkiç, P Mandal, S Wan, P Sheth, A Gorantla, Y Choi, H Liu, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| Estimating Treatment Effects over Time with Causal Forests: An application to the ACIC 2022 Data Challenge S Wan, G Zhang Observational Studies 9 (3), 59-71, 2023 | | 2023 |
| GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation Using Nonparametric Methods S Wan, C Zheng, Z Sun, M Xu, X Yang, J Guo, H Zhu | | |
