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researcher

Ling Wu

3 papers hereh-index 221.3k citations127 works total

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

author position
  • first author1
  • middle author2

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

fields
  • cs.CE2
  • cs.LG1
same name
  • Ling Wu — 5 papers, h 4
  • Ling Wu — 5 papers, h 4
  • Ling Wu — 3 papers, h 1
  • Ling Wu — 1 paper, h 1
  • Ling Wu — 1 paper, h 0
  • Ling Wu — 1 paper, h 0

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 citedRecurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step

67 citations · 87 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CE2023★ 13 cited

A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems

Van-Dung Nguyen, Ling Wu, Françoise Remacle +1

We propose a framework to solve non-linear and history-dependent mechanical problems based on a hybrid classical computer -- quantum annealer approach. Quantum Computers are antici…

cs.CE2021★ 67 cited

Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step

Ling Wu, Ludovic Noels

Artificial Neural Networks (NNWs) are appealing functions to substitute high dimensional and non-linear history-dependent problems in computational mechanics since they offer the p…

cs.LG2021★ 7 cited

Neural-network acceleration of projection-based model-order-reduction for finite plasticity: Application to RVEs

S. Vijayaraghavan, L. Wu, L. Noels +3

Compared to conventional projection-based model-order-reduction, its neural-network acceleration has the advantage that the online simulations are equation-free, meaning that no sy…

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