2 citations · 3 across the 5 of their papers we have counts for
6 papers
Latent-driven Imputation and Forecasting for partially observed Time Series (LIFTS)
Sanyou Wu, Ying Wei, Kaizheng Wang
Partially observed multivariate time series pose two coupled challenges: recovering missing measurements and forecasting future trajectories when observation patterns are informati…
Nonlinear Multiple Response Regression and Learning of Latent Spaces
Ye Tian, Sanyou Wu, Long Feng
Identifying low-dimensional latent structures within high-dimensional data has long been a central topic in the machine learning community, driven by the need for data compression,…
Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data
Sanyou Wu, Dan Yang, Yan Xu +1
Jointly modeling and forecasting economic and financial variables across a large set of countries has long been a significant challenge. Two primary approaches have been utilized t…
Time Series Generative Learning with Application to Brain Imaging Analysis
Zhenghao Li, Sanyou Wu, Long Feng
This paper focuses on the analysis of sequential image data, particularly brain imaging data such as MRI, fMRI, CT, with the motivation of understanding the brain aging process and…
Sparse Kronecker Product Decomposition: A General Framework of Signal Region Detection in Image Regression
Sanyou Wu, Long Feng
This paper aims to present the first Frequentist framework on signal region detection in high-resolution and high-order image regression problems. Image data and scalar-on-image re…
Metric learning by Similarity Network for Deep Semi-Supervised Learning
Sanyou Wu, Xingdong Feng, Fan Zhou
Deep semi-supervised learning has been widely implemented in the real-world due to the rapid development of deep learning. Recently, attention has shifted to the approaches such as…