research
∙
07/16/2022
S4: a High-sparsity, High-performance AI Accelerator
Exploiting sparsity underlying neural networks has become one of the mos...
share
research
∙
11/25/2019
Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Analysis of large-scale sequential data has been one of the most crucial...
research
∙
11/25/2019
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
research
∙
09/14/2018
Random Warping Series: A Random Features Method for Time-Series Embedding
Time series data analytics has been a problem of substantial interests f...
research
∙
05/25/2018
Scalable Spectral Clustering Using Random Binning Features
Spectral clustering is one of the most effective clustering approaches t...
research
∙
02/14/2018
