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Yan Zeng 0002
Person information
- affiliation: Guangdong University of Technology, Guangzhou, China
Other persons with the same name
- Yan Zeng — disambiguation page
- Yan Zeng 0001 — Jiangxi University of Finance and Economics, Nanchang, China
- Yan Zeng 0003 — ByteDance AI Lab. (and 1 more)
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2020 – today
- 2024
- [j5]Libo Huang, Lu Gan, Yan Zeng, Bingo Wing-Kuen Ling:
Automatical Spike Sorting With Low-Rank and Sparse Representation. IEEE Trans. Biomed. Eng. 71(5): 1677-1686 (2024) - [c8]Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu:
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. AAAI 2024: 12591-12599 - [c7]Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu:
KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. Tiny Papers @ ICLR 2024 - [c6]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML 2024 - [i6]Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao:
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR abs/2402.04869 (2024) - [i5]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR abs/2402.14528 (2024) - [i4]Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu:
Exemplar-Free Class Incremental Learning via Incremental Representation. CoRR abs/2403.16221 (2024) - 2023
- [j4]Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang:
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. Neurocomputing 526: 48-61 (2023) - [j3]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu:
Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2234-2245 (2023) - [i3]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. CoRR abs/2302.05209 (2023) - [i2]Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu:
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. CoRR abs/2304.10103 (2023) - 2022
- [c5]Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun:
Causal Discovery for Linear Mixed Data. CLeaR 2022: 994-1009 - 2021
- [c4]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS 2021: 1-4 - [c3]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI 2021: 2097-2103 - 2020
- [j2]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang:
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124: 130-145 (2020) - [j1]Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao:
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1667-1680 (2020) - [c2]Libo Huang, Bingo Wing-Kuen Ling, Yan Zeng, Lu Gan:
Spike Sorting Based On Low-Rank And Sparse Representation. ICME 2020: 1-6 - [i1]Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CoRR abs/2009.09176 (2020)
2010 – 2019
- 2019
- [c1]Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao:
Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples. IScIDE (2) 2019: 381-393
Coauthor Index
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