| Causal discovery with multi-domain LiNGAM for latent factors Y Zeng, S Shimizu, R Cai, F Xie, M Yamamoto, Z Hao International Joint Conference on Artificial Intelligence 2021, 2021 | 20 | 2021 |
| An efficient entropy-based causal discovery method for linear structural equation models with IID noise variables F Xie, R Cai, Y Zeng, J Gao, Z Hao IEEE transactions on neural networks and learning systems 31 (5), 1667-1680, 2019 | 16 | 2019 |
| WMsorting: wavelet packets’ decomposition and mutual information-based spike sorting method L Huang, BWK Ling, R Cai, Y Zeng, J He, Y Chen IEEE Transactions on NanoBioscience 18 (3), 283-295, 2019 | 16 | 2019 |
| Python package for causal discovery based on LiNGAM T Ikeuchi, M Ide, Y Zeng, TN Maeda, S Shimizu Journal of Machine Learning Research 24 (14), 1-8, 2023 | 10 | 2023 |
| Causal discovery for linear mixed data Y Zeng, S Shimizu, H Matsui, F Sun Conference on Causal Learning and Reasoning, 994-1009, 2022 | 10 | 2022 |
| A survey on causal reinforcement learning Y Zeng, R Cai, F Sun, L Huang, Z Hao arXiv preprint arXiv:2302.05209, 2023 | 8 | 2023 |
| Nonlinear causal discovery for high-dimensional deterministic data Y Zeng, Z Hao, R Cai, F Xie, L Huang, S Shimizu IEEE Transactions on Neural Networks and Learning Systems 34 (5), 2234-2245, 2021 | 8 | 2021 |
| 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 |
| A causal discovery algorithm based on the prior selection of leaf nodes Y Zeng, Z Hao, R Cai, F Xie, L Ou, R Huang Neural Networks, 2020 | 5* | 2020 |
| Spike sorting based on low-rank and sparse representation L Huang, BWK Ling, Y Zeng, L Gan 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 4 | 2020 |
| eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation L Huang, Y Zeng, C Yang, Z An, B Diao, Y Xu arXiv preprint arXiv:2304.10103, 2023 | 1 | 2023 |
| Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples F Xie, R Cai, Y Zeng, Z Hao Intelligence Science and Big Data Engineering. Big Data and Machine Learning …, 2019 | 1 | 2019 |
| eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation L Huang, Y Zeng, C Yang, Z An, B Diao, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12591 …, 2024 | | 2024 |
| Exemplar-Free Class Incremental Learning via Incremental Representation L Huang, Z An, Y Zeng, C Yang, X Yu, Y Xu arXiv preprint arXiv:2403.16221, 2024 | | 2024 |
| ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization T Ji, Y Liang, Y Zeng, Y Luo, G Xu, J Guo, R Zheng, F Huang, F Sun, H Xu arXiv preprint arXiv:2402.14528, 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 |
| KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning L Huang, Z An, Y Zeng, Y Xu The Second Tiny Papers Track at ICLR 2024, 2024 | | 2024 |
| Leveraging Causal Policy-Reward Entropy for Enhanced Exploration T Ji, Y Zeng, Y Luo, X Zhan The Second Tiny Papers Track at ICLR 2024, 2024 | | 2024 |
| Automatical Spike Sorting with Low-Rank and Sparse Representation L Huang, L Gan, Y Zeng, BWK Ling IEEE Transactions on Biomedical Engineering, 2023 | | 2023 |
| Offline Causal Imitation Learning with Latent Confounders S Huang, Y Zeng, R Cai, Z Hao, F Sun International Conference on Cognitive Computation and Systems, 227-236, 2022 | | 2022 |
Ruichu CaiProfessor of Computer Science, Guangdong University of TechnologyVerified email at gdut.edu.cn
