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Author

Yuqi Gu

Observed names: G. Yuqi, Gu, Yuqi
Institution: Columbia University
ORCID: 0000-0002-4124-113X
Observed ORCID: 0000-0002-4124-113X
OpenAlex ID: A5011422415
The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
2018 · Yuqi Gu, Gongjun Xu · Psychometrika · 84
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Partial identifiability of restricted latent class models
2020 · Yuqi Gu, Gongjun Xu · The Annals of Statistics · 72
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Sufficient and Necessary Conditions for the Identifiability of the Q-matrix
2019 · Yuqi Gu, Gongjun Xu · Statistica Sinica · 48
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Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models
2019 · Gu, Yuqi, Xu, Gongjun · arXiv (Cornell University) · 21
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Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data
2023 · Yuqi Gu, David B Dunson · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 15
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A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
2021 · Yuqi Gu, Gongjun Xu · Journal of the American Statistical Association · 15
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Identifiability of Hierarchical Latent Attribute Models
2022 · Yuqi Gu, Gongjun Xu · Statistica Sinica · 14
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Hypothesis Testing of the Q-matrix
2018 · Yuqi Gu, Jingchen Liu, et al. · Psychometrika · 13
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
2022 · Zhenghao Zeng, Yuqi Gu, et al. · Psychometrika · 10
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Generic Identifiability of the DINA Model and Blessing of Latent Dependence
2022 · Yuqi Gu · Psychometrika · 8
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
2021 · Gu, Yuqi, Erosheva, Elena A., et al. · PubMed · 8
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Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data
2025 · Zhongyuan Lyu, Ling Chen, et al. · Journal of the American Statistical Association · 7
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New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data
2024 · Seunghyun Lee, Yuqi Gu · Psychometrika · 7
Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs)
2023 · Yuqi Gu · Psychometrika · 7
A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses
2024 · Ling Chen, Yuqi Gu · Psychometrika · 6
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A blockwise mixed membership model for multivariate longitudinal data: Discovering clinical heterogeneity and identifying Parkinson’s disease subtypes
2026 · Kai Kang, Yuqi Gu · The Annals of Applied Statistics · 4
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Powertrain Coordination Control of Electric Drive System for Heavy-Duty Vehicles With Minimal Battery Configuration Based on Adaptive Event-Triggered MPC
2025 · Zengcheng Liu, Junqiu Li, et al. · IEEE Transactions on Transportation Electrification · 4
Identification and Estimation of Hierarchical Latent Attribute Models.
2019 · Yuqi Gu, Gongjun Xu · arXiv (Cornell University) · 4
Exploratory General-Response Cognitive Diagnostic Models with Higher-Order Structures
2025 · Jia Liu, Seunghyun Lee, et al. · Psychometrika · 3
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Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
2025 · Seunghyun Lee, Yuqi Gu · Journal of the American Statistical Association · 1
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New directions in algebraic statistics: Three challenges from 2023
2024 · Yulia Alexandr, Miles Bakenhus, et al. · Algebraic Statistics · 1
Latency-response theory model: Evaluating large language models via response accuracy and chain-of-thought length
2026 · Zhiyu Xu, Jia Liu, et al. · The Annals of Applied Statistics
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Mixed Membership Model of Low-rank Matrices with Multimodal Extension
2026 · Snider, David, Lyu, Zhongyuan, et al. · arXiv (Cornell University)
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Generalized Grade-of-Membership Estimation for High-Dimensional Locally Dependent Data
2026 · Ling Chen, Chengzhu Huang, et al. · Journal of the American Statistical Association
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Adaptive Transfer Clustering: A Unified Framework
2026 · Yuqi Gu, Zhongyuan Lyu, et al. · Journal of the American Statistical Association
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Works count: 38
Citation count: 352
H-index: 9
I10-index: 9
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