| Disentangled Representation with Causal Constraints for Counterfactual Fairness Z Xu, J Liu, D Cheng, J Li, L Liu, K Wang PAKDD 2023 [https://doi.org/10.1007/978-3-031-33374-3_37], 2023 | 4 | 2023 |
| Causal Inference with Conditional Instruments using Deep Generative Models D Cheng, Z Xu, J Li, L Liu, J Liu, TD Le AAAI 2023 (Oral) [https://doi.org/10.1609/aaai.v37i6.25869], 2023 | 3 | 2023 |
| Disentangled Representation for Causal Mediation Analysis Z Xu, D Cheng, J Li, J Liu, L Liu, K Wang AAAI 2023 (Oral) [https://doi.org/10.1609/aaai.v37i9.26266], 2023 | 3 | 2023 |
| Assessing Classifier Fairness with Collider Bias Z Xu, Z Xu, J Liu, D Cheng, J Li, L Liu, K Wang PAKDD 2022 [https://doi.org/10.1007/978-3-031-05936-0_21], 2022 | 2* | 2022 |
| Learning Conditional Instrumental Variable Representation for Causal Effect Estimation D Cheng, Z Xu, J Li, L Liu, TD Le, J Liu ECML-PKDD 2023 [https://doi.org/10.1007/978-3-031-43412-9_31], 2023 | 1 | 2023 |
| Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders D Cheng, Z Xu, J Li, L Liu, J Liu, W Gao, TD Le AAAI 2024 (Poster) [https://doi.org/10.1609/aaai.v38i10.29029], 2024 | | 2024 |
| Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference D Cheng, Y Xie, Z Xu, J Li, L Liu, J Liu, Y Zhang, Z Feng ICDM 2023 (Long Paper) [https://doi.org/10.1109/ICDM58522.2023.00014], 2023 | | 2023 |
| A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation T Xu, Y Zhang, J Li, L Liu, Z Xu, D Cheng, Z Feng WISE 2023 [https://doi.org/10.1007/978-981-99-7254-8_56], 2023 | | 2023 |
| Conditional Instrumental Variable Regression with Representation Learning for Causal Inference D Cheng, Z Xu, J Li, L Liu, J Liu, TD Le ICLR 2024 (Poster) [https://openreview.net/forum?id=qDhq1icpO8], 2023 | | 2023 |
| Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder Z Xu, D Cheng, J Li, J Liu, L Liu, K Yu ICLR 2024 (Poster) [https://openreview.net/forum?id=wFf9m4v7oC], 2023 | | 2023 |
| Linking a predictive model to causal effect estimation J Li, L Liu, Z Xu, HX Tran, TD Le, J Liu arXiv preprint arXiv:2304.04566, 2023 | | 2023 |
Jiuyong Li (李久永)Professor of Computer Science, University of South AustraliaEmail verificata su unisa.edu.au
