Scholar
Feng Xie
Google Scholar ID: stLFCtQAAAAJ
Associate Professor, Beijing Technology and Business University
Citations & Impact
Citations
625
H-index
12
i10-index
13
Publications
20
Co-authors
12
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Published multiple papers in top international conferences such as NeurIPS, ICML, and IJCAI
- - Representative papers:
- - Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables (NeurIPS 2025)
- - Regression-based Conditional Independence Test with Adaptive Kernels (Artificial Intelligence 2025)
- - Local Identifying Causal Relations in the Presence of Latent Variables (ICML 2025, Spotlight, TOP 2.6%)
- - Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models (ICML 2025)
- - Causal Attribution Analysis for Continuous Outcomes (ICML 2025, Spotlight, TOP 2.6%)
- - Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations (ICML 2025)
- - Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments (NeurIPS 2024, Oral, TOP 0.39%)
- - Learning Discrete Latent Variable Structures with Tensor Rank Conditions (NeurIPS 2024)
Research Experience
- - Associate Professor, Department of Applied Statistics, Beijing Technology and Business University
- - Postdoctoral researcher, Department of Probability and Statistics, Peking University
- - Ph.D. student, School of Computer Science, Guangdong University of Technology
- - Master's student, School of Mathematics and Statistics, Guangdong University of Technology
- - Visiting Ph.D. student, Department of Philosophy, Carnegie Mellon University
Education
- - Ph.D. in School of Computer Science, Guangdong University of Technology (2017-2020), supervised by Prof. Ruichu Cai and co-supervised by Prof. Kun Zhang (Carnegie Mellon University)
- - Master’s degree in School of Mathematics and Statistics, Guangdong University of Technology (2014-2017), supervised by Prof. Zhifeng Hao
- - Postdoctoral research in the Department of Probability and Statistics, Peking University (2020-2022), working with Prof. Zhi Geng and Prof. Yangbo He
- - Visiting Ph.D. student in the Department of Philosophy, Carnegie Mellon University (2019-2020)
Background
- Currently an associate professor in the Department of Applied Statistics at Beijing Technology and Business University. Research interests include causal discovery, especially in latent variable models, causal factor analysis, and causal representation learning, as well as discovering valid instrumental variables from observational data.
