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Xiaotong Sun

4 papers hereh-index 215 citations4 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.IV1
  • stat.ML1
same name
  • Xiaotong Sun — 3 papers, h 4
  • Xiaotong Sun — 2 papers, h 2
  • Xiaotong Sun — 2 papers, h 4
  • Xiaotong Sun — 1 paper, h 2
  • Xiaotong Sun — 1 paper, h 2
  • Xiaotong Sun — 1 paper, h 1

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
20232025
most citedSurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2025

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis

Xiwen Chen, Peijie Qiu, Wenhui Zhu +8

While multiple instance learning (MIL) has shown to be a promising approach for histopathological whole slide image (WSI) analysis, its reliance on permutation invariance significa…

cs.LG2024

Multimodal Variational Autoencoder: a Barycentric View

Peijie Qiu, Wenhui Zhu, Sayantan Kumar +6

Multiple signal modalities, such as vision and sounds, are naturally present in real-world phenomena. Recently, there has been growing interest in learning generative models, in pa…

cs.LG2024★ 2 cited

SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks

Xiaotong Sun, Peijie Qiu, Shengfan Zhang

Survival analysis models time-to-event distributions with censorship. Recently, deep survival models using neural networks have dominated due to their representational power and st…

stat.ML2023

NSOTree: Neural Survival Oblique Tree

Xiaotong Sun, Peijie Qiu

Survival analysis is a statistical method employed to scrutinize the duration until a specific event of interest transpires, known as time-to-event information characterized by cen…

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