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Jie Lin

3 papers hereh-index 240 citations5 works total

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

author position
  • middle author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
same name
  • Jie Lin — 20 papers, h 27
  • Jie Lin — 20 papers, h 6
  • Jie Lin — 16 papers, h 13
  • Jie Lin — 14 papers, h 12
  • Jie Lin — 10 papers, h 25
  • Jie Lin — 9 papers, h 7

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 citedIs Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning

3 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024★ 1 cited

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks

Xue Geng, Zhe Wang, Chunyun Chen +10

Deep neural networks (DNNs) have been widely used in many artificial intelligence (AI) tasks. However, deploying them brings significant challenges due to the huge cost of memory,…

cs.LG2022★ 3 cited

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning

Manas Gupta, Efe Camci, Vishandi Rudy Keneta +5

Pruning neural networks has become popular in the last decade when it was shown that a large number of weights can be safely removed from modern neural networks without compromisin…

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