| 2024 | ICML | An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. | Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu |
| 2023 | AAAI | Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. | Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu |
| 2023 | SDM | Time-delayed Multivariate Time Series Predictions. | Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu |
| 2022 | IJCAI | Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. | Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu |
| 2022 | PAKDD | Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. | Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu |
| 2021 | IJCAI | Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. | Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu |
| 2021 | KDD | Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. | Chuizheng Meng, Sirisha Rambhatla, Yan Liu |
| 2020 | ICLR | Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. | Sungyong Seo, Chuizheng Meng, Yan Liu |