Identification and Estimation of Hierarchical Latent Attribute Models. - Yuqi Gu; Gongjun Xu (CoRR, 2019)

Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models. - Yuqi Gu; Gongjun Xu (J. Mach. Learn. Res., 2019)

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness. - Ye Tian; Yuqi Gu; Yang Feng 002 (CoRR, 2023)

Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data. - Yuqi Gu; Elena E. Erosheva; Gongjun Xu; David B. Dunson (J. Mach. Learn. Res., 2023)

Adaptive Transfer Clustering: A Unified Framework. - Yuqi Gu; Zhongyuan Lyu; Kaizheng Wang (CoRR, 2024)

Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers. - Seunghyun Lee; Yuqi Gu (CoRR, 2025)

Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models. - Yuqi Gu (CoRR, 2025)

Identifiability of latent causal graphical models without pure children. - Seunghyun Lee; Yuqi Gu (CoRR, 2025)