4 papers
Semi-Supervised Generative Learning via Latent Space Distribution Matching
Kwong Yu Chong, Long Feng
We introduce Latent Space Distribution Matching (LSDM), a novel framework for semi-supervised generative modeling of conditional distributions. LSDM operates in two stages: (i) lea…
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…
A General Framework of Brain Region Detection And Genetic Variants Selection in Imaging Genetics
Siqiang Su, Zhenghao Li, Long Feng +1
Imaging genetics is a growing field that employs structural or functional neuroimaging techniques to study individuals with genetic risk variants potentially linked to specific ill…