IEEE

On the Interplay Between Precision, Rank and Admissibility for Iterative Hierarchical Low-Rank Matrix Solvers

Abstract: Solving large linear systems efficiently is at the heart of many problems in high-performance computing. For dense matrices with a particular structure that results in low-rank off-diagonal ...
IEEE

Advancing Frequency Line Extraction Algorithm Through Low-Rank and Sparse Matrix Decomposition and Sliding Windowed Fusion Frame

Abstract: The frequency line is an important basis for the correlation and identification of underwater targets. However, how to accurately extract frequency line information from the interference of ...
EDN

Power Tips #149: Boosting EV charger efficiency and density with single-stage matrix converters

Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
GitHub

Vision Graph Prompting via Semantic Low-Rank Decomposition

Official implementation of 'Vision Graph Prompting via Semantic Low-Rank Decomposition'. The paper has been accepted by ICML 2025. Vision GNN (ViG) demonstrates superior performance by representing ...