78 citations · 82 across the 6 of their papers we have counts for
6 papers
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes
Yu Wang
This thesis focuses on data that has complex spatio-temporal structure and on probabilistic graphical models that learn the structure in an interpretable and scalable manner. We ta…
Kronecker-structured Covariance Models for Multiway Data
Yu Wang, Zeyu Sun, Dogyoon Song +1
Many applications produce multiway data of exceedingly high dimension. Modeling such multi-way data is important in multichannel signal and video processing where sensors produce m…
Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data
Zeyu Sun, Monica G. Bobra, Xiantong Wang +5
We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that…
Multiway Ensemble Kalman Filter
Yu Wang, Alfred Hero
In this work, we study the emergence of sparsity and multiway structures in second-order statistical characterizations of dynamical processes governed by partial differential equat…
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang, Alfred Hero
We propose a new graphical model inference procedure, called SG-PALM, for learning conditional dependency structure of high-dimensional tensor-variate data. Unlike most other tenso…
The Sylvester Graphical Lasso (SyGlasso)
Yu Wang, Byoungwook Jang, Alfred Hero
This paper introduces the Sylvester graphical lasso (SyGlasso) that captures multiway dependencies present in tensor-valued data. The model is based on the Sylvester equation that…