邮箱：yanazeng013@btbu.edu.cn

地址：北京市房山区北京工商大学良乡主校区东区ld乐动体育官方网站(中国)_NO.1

个人简介

讲师，广东工业大学博士，日本理化学研究所联合培养博士，清华大学计算机科学与技术系博士后

研究兴趣

主要研究统计因果推断、因果强化学习、机器学习

主讲课程

本科生课程《概率论与数理统计》、《分布式并行计算》。

学习经历

2012年9月-2016年7月，广东工业大学，应用数学学院，理学学士；

2016年9月-2021年6月，广东工业大学，计算机学院，工学博士；

2019年10月-2020年10月，日本理化学研究所，因果推断团队，联合培养博士。

工作经历

2021年7月-2023年8月，清华大学，计算机科学与技术系，博士后；

2023年9月至今，北京工商大学ld乐动体育官方网站(中国)_NO.1，讲师。

主要获奖荣誉

主要科研项目

1. 面向复杂任务的因果强化学习方法研究，中国博士后科学基金面上项目，2022.6-2023.7，主持(已结题)。

主要学术成果

1. Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Yongjun Xu. e-Tog: Class-Incremental Learning with Hierarchical Embedding Distillation and Task-Oriented Generation. The 38th Annual AAAI Conference on Artificial Intelligence, 2024.

2. Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, and Kun Zhang. Causal Discovery of 1-Factor Measurement Models in Linear Latent Variable Models with Arbitrary Noise Distributions. Neurocomputing, 2023.

3. Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takshi Nicholas Maeda, Shohei Shimizu. Python package for causal discovery based on LiNGAM[J]. Journal of Machine Learning Research, 2023, 24(14): 1-8.

4. Libo Huang, Gan Lu, Yan Zeng, and Wing-Kuen Ling. Automatical Spike Sorting with Low-Rank and Sparse Representation[J]. IEEE Transactions on Biomedical Engineering, 2023.

5. Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun. Causal Discovery for Linear Mixed Data [C]. Conference on Causal Learning and Reasoning. PMLR, 2022: 994-1009.

6. Siyang Huang*, Yan Zeng*, Ruichu Cai, Zhifeng Hao, and Fuchun Sun. Offline Causal Imitation Learning with Latent Confounders [C]. International Conference on Cognitive Computation and Systems. 2022. (* Equal contribution)

7. Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, and Zhifeng Hao. Causal discovery with multi-domain LiNGAM for latent factors. Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), Montreal-themed Virtual Reality, 2021.

8. Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu. Nonlinear Causal Discovery with Multiple High-Dimensional Observations [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.

9. Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang. A causal discovery algorithm based on the prior selection of leaf nodes [J]. Neural Networks, 2020, 124: 130-145.

10. Feng Xie, Ruichu Cai, Yan Zeng, and Zhifeng Hao. An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models with IID Noise Variables. IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2020, 31(5): 1667-1680.

11. Libo Huang, Wing-Kuen Ling, Ruichu Cai, Yan Zeng. WMsorting: wavelet packets’ decomposition and mutual information-based spike sorting method[J]. IEEE transactions on nanobioscience, 2019, 18(3): 283-295.