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ORCIDYan Zeng 0002
Person information
- affiliation: Beijing Technology and Business University, Department of Mathematics and Statistics, China
- affiliation (2021 - 2023): Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (PhD 2021): 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
![[0000-0003-1872-7534]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1872-7534")
— ByteDance AI Lab. (and 1 more)
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2020 – today
- 2025
[j6]Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao:
A Survey on Causal Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(4): 5942-5962 (2025)- [c13]Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng:
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models. ICML 2025 - [i14]Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang:
Learning Counterfactual Outcomes Under Rank Preservation. CoRR abs/2502.06398 (2025) - [i13]Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu:
PrePrompt: Predictive prompting for class incremental learning. CoRR abs/2505.08586 (2025) - [i12]Yan Zeng, Shenglan Nie, Feng Xie, Libo Huang, Peng Wu, Zhi Geng:
Confounded Causal Imitation Learning with Instrumental Variables. CoRR abs/2507.17309 (2025) - 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) - [c12]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 - [c11]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 - [c10]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: 21620-21647 - [c9]Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng:
Policy Learning for Balancing Short-Term and Long-Term Rewards. ICML 2024: 53817-53846 - [c8]Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng:
Local Causal Structure Learning in the Presence of Latent Variables. ICML 2024: 54511-54530 - [c7]Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng:
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments. NeurIPS 2024 - [c6]Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu:
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards. NeurIPS 2024 - [i11]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) - [i10]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) - [i9]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) - [i8]Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng:
Policy Learning for Balancing Short-Term and Long-Term Rewards. CoRR abs/2405.03329 (2024) - [i7]Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng:
Local Causal Structure Learning in the Presence of Latent Variables. CoRR abs/2405.16225 (2024) - [i6]Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng:
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments. CoRR abs/2407.07933 (2024) - [i5]Xichen Guo, Zheng Li, Biwei Huang, Yan Zeng, Zhi Geng, Feng Xie:
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models. CoRR abs/2411.12184 (2024) - [i4]Zheng Li, Feng Xie, Yan Zeng, Zhi Geng:
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables. CoRR abs/2411.16315 (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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