6 citations · 6 across the 5 of their papers we have counts for
5 papers
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets
Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto +5
Decision trees are essential yet NP-complete to train, prompting the widespread use of heuristic methods such as CART, which suffers from sub-optimal performance due to its greedy…
Multilingual Lexical Simplification via Paraphrase Generation
Kang Liu, Jipeng Qiang, Yun Li +3
Lexical simplification (LS) methods based on pretrained language models have made remarkable progress, generating potential substitutes for a complex word through analysis of its c…
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
Jiayang Ren, Ningning You, Kaixun Hua +2
This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as the cluster centers to minimize the maximum wit…
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation
Yun Li, Yixiu Wang, Yifu Chen +5
This paper proposes a deep learning-based optimal battery management scheme for frequency regulation (FR) by integrating model predictive control (MPC), supervised learning (SL), r…
Data ultrametricity and clusterability
Dan Simovici, Kaixun Hua
The increasing needs of clustering massive datasets and the high cost of running clustering algorithms poses difficult problems for users. In this context it is important to determ…