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researcher

Xiaochen Zheng

4 papers hereh-index 6119 citations9 works total

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

author position
  • sole author1
  • first author2
  • middle author1

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

fields
  • cs.CV3
  • cs.LG1
same name
  • Xiaochen Zheng — 6 papers, h 7
  • Xiaochen Zheng — 5 papers, h 22
  • Xiaochen Zheng — 4 papers, h 1
  • Xiaochen Zheng — 2 papers, h 0
  • Xiaochen Zheng — 1 paper, h 2

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
20212023
most citedSimple Contrastive Representation Learning for Time Series Forecasting

9 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2023★ 9 cited

Simple Contrastive Representation Learning for Time Series Forecasting

Xiaochen Zheng, Xingyu Chen, Manuel Schürch +3

Contrastive learning methods have shown an impressive ability to learn meaningful representations for image or time series classification. However, these methods are less effective…

cs.CV2022★ 1 cited

Rare Wildlife Recognition with Self-Supervised Representation Learning

Xiaochen Zheng

Automated animal censuses with aerial imagery are a vital ingredient towards wildlife conservation. Recent models are generally based on supervised learning and thus require vast a…

cs.CV2022★ 1 cited

MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection

Dehua Zheng, Xiaochen Zheng, Laurence T. Yang +3

Recent research about camouflaged object detection (COD) aims to segment highly concealed objects hidden in complex surroundings. The tiny, fuzzy camouflaged objects result in visu…

cs.CV2021

Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images

Xiaochen Zheng, Benjamin Kellenberger, Rui Gong +2

Automated animal censuses with aerial imagery are a vital ingredient towards wildlife conservation. Recent models are generally based on deep learning and thus require vast amounts…

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