| 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 …, 2024 | 76 | 2024 |
| 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 | 46 | 2023 |
| 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 | 32 | 2024 |
| 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 | 32 | 2021 |
| Causal discovery for linear mixed data Y Zeng, S Shimizu, H Matsui, F Sun Conference on Causal Learning and Reasoning, 994-1009, 2022 | 28 | 2022 |
| 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 | 24 | 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 | 23 | 2019 |
| 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 | 19 | 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 | 14 | 2023 |
| Policy learning for balancing short-term and long-term rewards P Wu, Z Shen, F Xie, Z Wang, C Liu, Y Zeng ICML 2024, 2024 | 12 | 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 ICML 2024, 2024 | 12 | 2024 |
| Learning the optimal policy for balancing short-term and long-term rewards Q Yang, X Liu, Y Zeng, R Guo, Y Liu, P Wu Advances in Neural Information Processing Systems 37, 36514-36540, 2024 | 10 | 2024 |
| A survey on causal reinforcement learning (2023) Y Zeng, R Cai, F Sun, L Huang, Z Hao URL https://arxiv. org/abs/2302.05209, 0 | 10 | |
| 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 | 9 | 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 | 9 | 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 | 8* | 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 | 4 | 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 |
| 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 | 3 | 2024 |
| Learning Counterfactual Outcomes Under Rank Preservation P Wu, H Li, C Zheng, Y Zeng, J Chen, Y Liu, R Guo, K Zhang arXiv preprint arXiv:2502.06398, 2025 | 2 | 2025 |
Libo HuangAssistant Researcher @ Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
