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Kexuan Li

14 papers hereh-index 5114 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author9
  • middle author2

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • stat.ML6
  • stat.ME4
  • math.ST2
  • stat.CO2
same name
  • Kexuan Li — 4 papers, h 3
  • Kexuan Li — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedDeep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks

8 citations · 17 across the 14 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

stat.ME2023

Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models

Ruiqi Liu, Kexuan Li, Meng Li

Within the framework of smoothing spline ANOVA, we propose a plug-in kernel ridge regression estimator to estimate the derivatives of the underlying multivariate regression functio…

stat.ME2023★ 1 cited

Multivariate Rank-Based Analysis of Multiple Endpoints in Clinical Trials: A Global Test Approach

Kexuan Li, Lingli Yang, Shaofei Zhao +3

Clinical trials often involve the assessment of multiple endpoints to comprehensively evaluate the efficacy and safety of interventions. In the work, we consider a global nonparame…

stat.ME2023

On the Confidence Intervals in Bioequivalence Studies

Kexuan Li, Susie Sinks, Peng Sun +1

A bioequivalence study is a type of clinical trial designed to compare the biological equivalence of two different formulations of a drug. Such studies are typically conducted in c…

stat.ML2023

Semiparametric Regression for Spatial Data via Deep Learning

Kexuan Li, Jun Zhu, Anthony R. Ives +2

In this work, we propose a deep learning-based method to perform semiparametric regression analysis for spatially dependent data. To be specific, we use a sparsely connected deep n…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.