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researcher

Wei Zhuo

ANU

4 papers hereh-index 11483 citations36 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cond-mat.str-el1
affiliations
  • ANU
  • Tencent
same name
  • Wei Zhuo — 9 papers, h 7
  • Wei Zhuo — 8 papers, h 4
  • Wei Zhuo — 3 papers, h 1
  • Wei Zhuo — 2 papers, h 1
  • Wei Zhuo — 1 paper, h 1
  • Wei Zhuo — 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

most citedLow-energy Spin Dynamics of Quantum Spin Liquid Candidate NaYbSe2​

26 citations · 50 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022

Activating the Discriminability of Novel Classes for Few-shot Segmentation

Dianwen Mei, Wei Zhuo, Jiandong Tian +2

Despite the remarkable success of existing methods for few-shot segmentation, there remain two crucial challenges. First, the feature learning for novel classes is suppressed durin…

cs.CV2022★ 11 cited

Fully Self-Supervised Learning for Semantic Segmentation

Yuan Wang, Wei Zhuo, Yucong Li +3

In this work, we present a fully self-supervised framework for semantic segmentation(FS^4). A fully bootstrapped strategy for semantic segmentation, which saves efforts for the hug…

cond-mat.str-el2021★ 26 cited

Low-energy Spin Dynamics of Quantum Spin Liquid Candidate NaYbSe2​

Zheng Zhang, Jianshu Li, Mingtai Xie +10

The family of rare earth chalcogenides ARECh2​ (A = alkali or monovalent ions, RE = rare earth, and Ch = O, S, Se, and Te) appears as an inspiring playground for studying quant…

cs.CV2021★ 13 cited

Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences

Zejian Chen, Wei Zhuo, Tianfu Wang +2

In this work, we propose a novel straightforward method for medical volume and sequence segmentation with limited annotations. To avert laborious annotating, the recent success of…

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