副教授 硕士生导师

北京工商大学 数学与统计学院，应用统计系

通讯地址：北京市良乡高教园区北京工商大学-数学与统计学院楼209室 邮编：102488

电子邮箱：fengxie@btbu.edu.cn

个人主页： http://fengxie.site

研究兴趣：

因果推断、机器学习、因果网络、贝叶斯网络、因果因子分析

主讲课程：

机器学习

个人简介
2010.9-2014.6 广东工业大学 信息与计算科学 理学学士

2014.9-2017.6 广东工业大学 数学 理学硕士

2018.9-2018.11 & 2019.7-2020.5 卡内基梅隆大学 (美国) 访问学生

2017.9-2020.6 广东工业大学 计算机应用工程 工学博士
2020.7-2022.6 北京大学 数学科学学院 博雅博士后
2022.6-至今 北京工商大学 数学与统计学院 副教授

发表主要论文（* Equal Contribution）：

· 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. (JCR Q2, IF 5.416)

· Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, and Kun Zhang. Identification of Linear Non-Gaussian Latent Hierarchical Structure. Thirty-ninth International Conference on Machine Learning (ICML), Baltimore, Maryland USA, 2022. (人工智能顶会, CCF A类)

· Feng Xie*, Ruichu Cai*, Biwei Huang, Clark Glymour, Zhifeng Hao, and Kun Zhang*. Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs. Advances in Neural Information Processing Systems 33 (NeurIPS), Virtual Conference, 2020. (人工智能顶会, CCF A类, Spotlight)

· 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. (JCR Q1, IF 11.683)

· Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, and Kun Zhang. Testability of Instrument Validity in Linear non-Gaussian Acyclic Causal Models. Entropy, 2022, 24(4), 512. (JCR Q2, IF 2.524)

· Z. Chen*, Feng Xie*, Jie Qiao*, Zhifeng Hao, Kun Zhang, and Ruichu Cai. Identification of Linear Latent Variable Model with Arbitrary Distribution. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Vancouver, CANADA, 2022. (人工智能顶会, CCF A类)

· Ruichu Cai*, Feng Xie*, Clark Glymour, Zhifeng Hao, and Kun Zhang. Triad Constraints for Causal Discovery in the Presence of Latent Variables. Advances in Neural Information Processing Systems 32 (NeurIPS), Vancouver, CANADA, 2019. (人工智能顶会, CCF A类)

· Biwei Huang*, Charles Low*, Feng Xie, Clark Glymour, Kun Zhang. Latent Hierarchical Causal Structure Discovery with Rank Constraints. Advances in Neural Information Processing Systems (NeurIPS), 2022. (人工智能顶会, CCF A类)

· 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. (人工智能顶会, CCF A类)

学术兼职：

Journal Reviewer:

IEEE Transactions on NNLS (TNNLS); Transactions on KDD (TKDD); Transactions on MLR (TMLR).

Conference PC or Reviewer:

ICML 2022; NeurIPS 2021,2022; ICLR 2023; AISTATS 2022, 2023; UAI 2022; CLeaR 2022, 2023; NeurIPS Workshop on Causal Discovery and Causality-Inspired Machine Learning 2020.