◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jiawei Yang

4 papers hereh-index 5147 citations6 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Jiawei Yang — 18 papers, h 9
  • Jiawei Yang — 9 papers, h 8
  • Jiawei Yang — 8 papers, h 6
  • Jiawei Yang — 7 papers, h 6
  • Jiawei Yang — 6 papers, h 4
  • Jiawei Yang — 5 papers, h 5

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

most citedTowards better understanding and better generalization of few-shot classification in histology images with contrastive learning

11 citations · 12 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022

Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation

Wentao Pan, Jiangpeng Yan, Hanbo Chen +4

Recently, deep neural networks have greatly advanced histopathology image segmentation but usually require abundant annotated data. However, due to the gigapixel scale of whole sli…

cs.CV2022★ 1 cited

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

Jiawei Yang, Hanbo Chen, Yuan Liang +3

Detectingandsegmentingobjectswithinwholeslideimagesis essential in computational pathology workflow. Self-supervised learning (SSL) is appealing to such annotation-heavy tasks. Des…

cs.CV2022

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Jiawei Yang, Hanbo Chen, Yu Zhao +4

Whole slide image (WSI) classification often relies on deep weakly supervised multiple instance learning (MIL) methods to handle gigapixel resolution images and slide-level labels.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.