| Time series domain adaptation via sparse associative structure alignment R Cai, J Chen, Z Li, W Chen, K Zhang, J Ye, Z Li, X Yang, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6859-6867, 2021 | 57 | 2021 |
| Causal discovery in linear non-gaussian acyclic model with multiple latent confounders W Chen, R Cai, K Zhang, Z Hao IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2816-2827, 2021 | 21 | 2021 |
| Causal-learn: Causal discovery in python Y Zheng, B Huang, W Chen, J Ramsey, M Gong, R Cai, S Shimizu, ... Journal of Machine Learning Research 25 (60), 1-8, 2024 | 20 | 2024 |
| Mining hidden non-redundant causal relationships in online social networks W Chen, R Cai, Z Hao, C Yuan, F Xie Neural Computing and Applications 32, 6913-6923, 2020 | 12 | 2020 |
| 基于非时序观察数据的因果关系发现综述 蔡瑞初， 陈薇， 张坤， 郝志峰 计算机学报 40 (6), 1470-1490, 2017 | 10 | 2017 |
| FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders W Chen, K Zhang, R Cai, B Huang, J Ramsey, Z Hao, C Glymour arXiv preprint arXiv:2103.14238, 2021 | 7 | 2021 |
| Learning granger causality for non-stationary Hawkes processes W Chen, J Chen, R Cai, Y Liu, Z Hao Neurocomputing 468, 22-32, 2022 | 6 | 2022 |
| Causal discovery with latent confounders based on higher-order cumulants R Cai, Z Huang, W Chen, Z Hao, K Zhang International conference on machine learning, 3380-3407, 2023 | 5 | 2023 |
| Shared state space model for background information extraction and time series prediction R Cai, Z Lin, W Chen, Z Hao Neurocomputing 468, 85-96, 2022 | 5 | 2022 |
| An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data R Cai, F Xie, W Chen, Z Hao 2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS), 1-6, 2017 | 5 | 2017 |
| Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance Z Li, R Cai, J Chen, Y Yan, W Chen, K Zhang, J Ye arXiv preprint arXiv:2205.03554, 2022 | 4 | 2022 |
| CCSL: A Causal Structure Learning Method from Multiple Unknown Environments W Chen, Y Wu, R Cai, Y Chen, Z Hao arXiv preprint arXiv:2111.09666, 2021 | 2 | 2021 |
| Rest: Debiased social recommendation via reconstructing exposure strategies R Cai, F Wu, Z Li, J Qiao, W Chen, Y Hao, H Gu ACM Transactions on Knowledge Discovery from Data 18 (2), 1-24, 2023 | 1 | 2023 |
| Learning dynamic causal mechanisms from non-stationary data R Cai, L Huang, W Chen, J Qiao, Z Hao Applied Intelligence 53 (5), 5437-5448, 2023 | 1 | 2023 |
| Granger causal representation learning for groups of time series R Cai, Y Wu, X Huang, W Chen, TZJ Fu, Z Hao Science China Information Sciences 67 (5), 152103, 2024 | | 2024 |
| Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants W Chen, Z Huang, R Cai, Z Hao, K Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20353 …, 2024 | | 2024 |
| TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences Y Liu, R Cai, W Chen, J Qiao, Y Yan, Z Li, K Zhang, Z Hao Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20491 …, 2024 | | 2024 |
| Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy R Cai, S Huang, J Qiao, W Chen, Y Zeng, K Zhang, F Sun, Y Yu, Z Hao arXiv preprint arXiv:2402.04869, 2024 | | 2024 |
| Latent Causal Dynamics Model for Model-Based Reinforcement Learning Z Hao, H Zhu, W Chen, R Cai International Conference on Neural Information Processing, 219-230, 2023 | | 2023 |
| Causal Alignment Based Fault Root Causes Localization for Wireless Network Y Liu, W Zhu, J Qiao, Z Huang, Y Xiang, X Chen, W Chen, R Cai ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | | 2022 |
Ruichu CaiProfessor of Computer Science, Guangdong University of TechnologyVerified email at gdut.edu.cn
