Qiao, Xinghao

4 publications

JMLR 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective Shaojun Guo, Dong Li, Xinghao Qiao, Yizhu Wang

ICML 2024 Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization Yirui Liu, Xinghao Qiao, Yulong Pei, Liying Wang

AISTATS 2023 EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam

AISTATS 2022 CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models Yirui Liu, Xinghao Qiao, Jessica Lam