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researcher

Jun Yu

6 papers here

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

author position
  • middle author3

Across the 3 of 6 papers where every author was matched, so the position is known.

fields
  • cs.NE4
  • cs.CV1
  • cs.LG1
ORCID 0009-0007-5870-0041
same name
  • Jun Yu — 25 papers
  • Jun Yu — 23 papers, h 42
  • Jun Yu — 12 papers, h 8
  • Jun Yu — 12 papers
  • Jun Yu — 11 papers, h 6
  • Jun Yu — 5 papers, h 45

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 citedInstanT: Semi-supervised Learning with Instance-dependent Thresholds

5 citations · 8 across the 6 of their papers we have counts for

collaborators
Showing cs.NEShow all

4 papers · 1 filter

cs.NE2024★ 1 cited

Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework

Rui Zhong, Yuefeng Xu, Chao Zhang +1

In this paper, we borrow the large language model (LLM) ChatGPT-3.5 to automatically and quickly design a new metaheuristic algorithm (MA) with only a small amount of input. The no…

cs.NE2024

Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search

Rui Zhong, Yuefeng Xu, Chao Zhang +1

This paper introduces a novel metaheuristic algorithm, known as the efficient multiplayer battle game optimizer (EMBGO), specifically designed for addressing complex numerical opti…

cs.NE2023★ 2 cited

Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems

Yuefeng Xu, Rui Zhong, Chao Zhang +1

Various popular multiplayer battle royale games share a lot of common elements. Drawing from our observations, we summarized these shared characteristics and subsequently proposed…

cs.NE2023

A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization

Yu Ding, Jun Yu, Chunzhi Gu +2

Artificial neural networks (ANNs), inspired by the interconnection of real neurons, have achieved unprecedented success in various fields such as computer vision and natural langua…

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