GPU-acceleration for Large-scale Tree Boosting
In this paper, we present a novel massively parallel algorithm for accelerating the decision tree building procedure on GPUs (Graphics Processing Units), which is a crucial step...
Publications
5 shownLIBLINEAR: A Library for Large Linear Classification
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support vector machines. We provide easy-to-use command-lin...
A dual coordinate descent method for large-scale linear SVM
In many applications, data appear with a huge number of instances as well as features. Linear Support Vector Machines (SVM) is one of the most popular tools to deal with such la...
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as...
Cluster-GCN
Graph convolutional network (GCN) has been successfully applied to many\ngraph-based applications; however, training a large-scale GCN remains\nchallenging. Current SGD-based al...
Frequent Co-Authors
Researcher Info
- h-index
- 5
- Publications
- 5
- Citations
- 8,840
- Institution
- National Taiwan University
External Links
Identifiers
- ORCID
- 0000-0002-3520-9627
Impact Metrics
h-index
5
h-index: Number of publications with at least h citations each.