5 papers
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference
Yige Xu, Xu Guo, Zhiwei Zeng +1
Large language models (LLMs) have brought a great breakthrough to the natural language processing (NLP) community, while leading the challenge of handling concurrent customer queri…
Semiparametric efficient estimation of genetic relatedness with machine learning methods
Xu Guo, Yiyuan Qian, Hongwei Shi +2
In this paper, we propose semiparametric efficient estimators of genetic relatedness between two traits in a model-free framework. Most existing methods require specifying certain…
Tests for ultrahigh-dimensional partially linear regression models
Hongwei Shi, Bowen Sun, Weichao Yang +1
In this paper, we consider tests for ultrahigh-dimensional partially linear regression models. The presence of ultrahigh-dimensional nuisance covariates and unknown nuisance functi…
Distributed local spline simulator for wave propagation
Xu Guo, Yaomeng Li, Yunfeng Xiong
Numerical simulation of wave propagation in elastic media faces the challenges arising from increasing demand of high resolution in modern 3-D imaging applications, which requires…
A Generic Algorithm for Top-K On-Shelf Utility Mining
Jiahui Chen, Xu Guo, Wensheng Gan +2
On-shelf utility mining (OSUM) is an emerging research direction in data mining. It aims to discover itemsets that have high relative utility in their selling time period. Compared…