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Wenguang Sun

21 papers hereh-index 181.7k citations54 works total

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

author position
  • middle author7
  • last author14

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • stat.ME18
  • stat.AP2
  • math.ST1
same name
  • Wenguang Sun — 4 papers, h 3
  • Wenguang Sun — 2 papers, h 2
  • Wenguang Sun — 1 paper, h 5
  • Wenguang Sun — 1 paper, h 14

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
20152026
most citedNonparametric Empirical Bayes Estimation on Heterogeneous Data

15 citations · 35 across the 21 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

stat.AP2026

Structure-Adaptive E-Value Filter for Detecting Regional Signals in Brain Imaging

Jingcheng He, Hangjin Jiang, Wenguang Sun +1

Structural MRI provides a noninvasive view of the neuroanatomical differences associated with cognitive impairment and dementia. Using data from the Alzheimer's Disease Neuroimagin…

stat.ME2026

COINS: Any-Stage-Valid and Utility-Oriented Sequential Conformal Prediction

Wangcheng Li, Nan Qiao, Xu Guo +1

In clinical diagnosis, sequential screening, and cascaded prediction systems, information is often acquired in stages, with intermediate predictions guiding whether to act on the a…

math.ST2026

Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets

Wangcheng Li, Guanlan Zhao, Xu Guo +1

In large-scale prediction problems, exhaustively following up on all test units is often impractical and inefficient, motivating a selective reporting strategy that fulfills the du…

stat.ME2026

Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing

Rongyi Sun, Wenguang Sun, Zinan Zhao

This paper addresses structured out-of-distribution (OOD) testing in high-stakes machine learning applications. Traditional conformal methods rely on joint exchangeability, making…

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