607 citations · 782 across the 6 of their papers we have counts for
7 papers
GRATE: Granular Recovery of Aggregated Tensor Data by Example
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
In this paper, we address the challenge of recovering an accurate breakdown of aggregated tensor data using disaggregation examples. This problem is motivated by several applicatio…
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems
Songtao Lu, Meisam Razaviyayn, Bo Yang +2
This paper proposes low-complexity algorithms for finding approximate second-order stationary points (SOSPs) of problems with smooth non-convex objective and linear constraints. Wh…
Energy Storage Management via Deep Q-Networks
Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
Energy storage devices represent environmentally friendly candidates to cope with volatile renewable energy generation. Motivated by the increase in privately owned storage systems…
Learning Nonlinear Mixtures: Identifiability and Algorithm
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos +1
Linear mixture models have proven very useful in a plethora of applications, e.g., topic modeling, clustering, and source separation. As a critical aspect of the linear mixture mod…
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos +1
Most learning approaches treat dimensionality reduction (DR) and clustering separately (i.e., sequentially), but recent research has shown that optimizing the two tasks jointly can…
Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
Xiao Fu, Kejun Huang, Bo Yang +2
This paper considers \emph{volume minimization} (VolMin)-based structured matrix factorization (SMF). VolMin is a factorization criterion that decomposes a given data matrix into a…