1 citations · 1 across the 3 of their papers we have counts for
4 papers
Graph-Guided Fused Regularization for Single- and Multi-Task Regression on Spatiotemporal Data
Meixia Lin, Ziyang Zeng, Yangjing Zhang
Spatiotemporal matrix-valued data arise frequently in modern applications, yet performing effective regression analysis remains challenging due to complex, dimension-specific depen…
Low Rank Convex Clustering For Matrix-Valued Observations
Meixia Lin, Yangjing Zhang
Common clustering methods, such as -means and convex clustering, group similar vector-valued observations into clusters. However, with the increasing prevalence of matrix-valued…
Multiple Regression for Matrix and Vector Predictors: Models, Theory, Algorithms, and Beyond
Meixia Lin, Ziyang Zeng, Yangjing Zhang
Matrix regression plays an important role in modern data analysis due to its ability to handle complex relationships involving both matrix and vector variables. We propose a class…
DNNLasso: Scalable Graph Learning for Matrix-Variate Data
Meixia Lin, Yangjing Zhang
We consider the problem of jointly learning row-wise and column-wise dependencies of matrix-variate observations, which are modelled separately by two precision matrices. Due to th…