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Jin Ye

4 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • math.OC1
ORCID 0000-0001-7756-5104
same name
  • Jin Ye — 6 papers
  • Jin Ye — 1 paper, h 22
  • Jin Ye — 1 paper

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 Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

32 citations · 60 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2023

Distribution System Flexibility Characterization: A Network-Informed Data-Driven Approach

Qi Li, Jianzhe Liu, Bai Cui +2

A distribution system can flexibly adjust its substation-level power output by aggregating its local distributed energy resources (DERs). Due to DER and network constraints, charac…

cs.AI2023★ 32 cited

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

Fei Dou, Jin Ye, Geng Yuan +22

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrig…

cs.CV2023★ 26 cited

SAM-Med2D

Junlong Cheng, Jin Ye, Zhongying Deng +12

The Segment Anything Model (SAM) represents a state-of-the-art research advancement in natural image segmentation, achieving impressive results with input prompts such as points an…

cs.CV2023★ 2 cited

Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation

Yuncheng Yang, Meng Wei, Junjun He +3

Transfer learning is a critical technique in training deep neural networks for the challenging medical image segmentation task that requires enormous resources. With the abundance…

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