Scholar
Yuqi Gu
Google Scholar ID: PLvMgAYAAAAJ
Columbia University
Citations & Impact
Citations
516
H-index
12
i10-index
13
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 'Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers' accepted by the Journal of the American Statistical Association; 'Learning from Similar Linear Representations' published in the Journal of Machine Learning Research; 'Exploratory General-response Cognitive Diagnostic Models with Higher-order Structures' published in Psychometrika; 'Degree-heterogeneous Latent Class Analysis for High-dimensional Discrete Data' accepted by the Journal of the American Statistical Association. Student awards: Seunghyun Lee won the 2025 ASA Student Paper Award; Ling Chen successfully defended her PhD dissertation; Zhongyuan Lyu accepted a Lecturer position at the University of Sydney’s Business School.
Research Experience
- Before joining Columbia University, served as a postdoc at Duke University, mentored by David B. Dunson. Currently an Assistant Professor in the Department of Statistics at Columbia University and a member of the Data Science Institute.
Education
- Ph.D. in Statistics from the University of Michigan in 2020, advised by Gongjun Xu; B.S. in Mathematics from Tsinghua University in 2015.
Background
- Research interests include: identifiable and interpretable deep generative models and causal representation learning; high-dimensional statistics with latent structures; latent variable modeling in psychometrics and other applications.
Miscellany
- Chinese name: 顾雨琦; Pronunciation: /ju:-tʃi:/; Address: Room 928 SSW, 1255 Amsterdam Avenue, New York, NY 10027.
Co-authors