X Y Zeng, X Zhang, H Li, J Wang, J Zhang, W Zhou
IEEE transactions on pattern analysis and machine intelligence 46 (5), 3156-3168, 2023
67 2023 A survey on causal reinforcement learning Y Zeng, R Cai, F Sun, L Huang, Z Hao
accepted by IEEE Transactions on Neural Networks and Learning Systems; arXiv …, 2023
38 2023 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
28 2021 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
25 2023 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
20 2019 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
19 2019 Causal discovery for linear mixed data Y Zeng, S Shimizu, H Matsui, F Sun
Conference on Causal Learning and Reasoning, 994-1009, 2022
18 2022 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
13 2021 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
12 2024 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
7 * 2020 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
6 2024 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
6 2023 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 Local causal structure learning in the presence of latent variables F Xie, Z Li, P Wu, Y Zeng, C Liu, Z Geng
arXiv preprint arXiv:2405.16225, 2024
3 2024 Causal Discovery with Hidden Variables Based on Non-Gaussianity and Nonlinearity TN Maeda, Y Zeng, S Shimizu
Dependent data in social sciences research: Forms, issues, and methods of …, 2024
2 2024 Policy learning for balancing short-term and long-term rewards P Wu, Z Shen, F Xie, Z Wang, C Liu, Y Zeng
arXiv preprint arXiv:2405.03329, 2024
2 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
2 2024 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
2 2023 Automatical spike sorting with low-rank and sparse representation L Huang, L Gan, Y Zeng, BWK Ling
IEEE Transactions on Biomedical Engineering 71 (5), 1677-1686, 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 
Ruichu CaiProfessor of Computer Science, Guangdong University of TechnologyEmail verificata su gdut.edu.cn