| Identification of linear non-gaussian latent hierarchical structure F Xie, B Huang, Z Chen, Y He, Z Geng, K Zhang International Conference on Machine Learning, 24370-24387, 2022 | 39 | 2022 |
| Identification of linear latent variable model with arbitrary distribution Z Chen, F Xie, J Qiao, Z Hao, K Zhang, R Cai Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6350-6357, 2022 | 11 | 2022 |
| Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions F Xie, Y Zeng, Z Chen, Y He, Z Geng, K Zhang Neurocomputing 526, 48-61, 2023 | 5 | 2023 |
| Generalized independent noise condition for estimating causal structure with latent variables F Xie, B Huang, Z Chen, R Cai, C Glymour, Z Geng, K Zhang arXiv preprint arXiv:2308.06718, 2023 | 3 | 2023 |
| Testability of instrumental variables in linear non-Gaussian acyclic causal models F Xie, Y He, Z Geng, Z Chen, R Hou, K Zhang Entropy 24 (4), 512, 2022 | 3 | 2022 |
| Some General Identification Results for Linear Latent Hierarchical Causal Structure Z Chen, F Xie, J Qiao, Z Hao, R Cai International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023 | 2 | 2023 |
| Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis J Qiao, Y Xiang, Z Chen, R Cai, Z Hao Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20524 …, 2024 | | 2024 |
| Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model J Qiao, Z Chen, J Yu, R Cai, Z Hao Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20516 …, 2024 | | 2024 |
| Testing Conditional Independence Between Latent Variables by Independence Residuals Z Chen, J Qiao, F Xie, R Cai, Z Hao, K Zhang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting Z Li, R Cai, Z Yang, H Huang, G Chen, Y Shen, Z Chen, X Song, Z Hao, ... arXiv preprint arXiv:2402.12767, 2024 | | 2024 |
| Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability S Jin, F Xie, G Chen, B Huang, Z Chen, X Dong, K Zhang The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Feng XieAssociate Professor, Beijing Technology and Business UniversityVerifierad e-postadress på btbu.edu.cn
